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States of Crisis and Post-Capitalist Scenarios
by Heiko Feldner Fabio VighiStates of Crisis and Post-Capitalist Scenarios engages with the crisis of our capitalist world, with a view to explaining its origins, unravelling its symptoms, and demystifying the anodyne corrective solutions so far proposed. At the same time, it endorses the necessity for utopian interventions aimed at drastically rethinking our social order. Organised around the themes of economy and politics, critical theory, and culture in order to offer an impressive range of thematic perspectives and critical angles, the book delves into the most pressing of today’s quandaries by combining stringent critical analysis with creative foresight. A rigorous examination of the current crisis of late-capitalist society, States of Crisis and Post-Capitalist Scenarios develops paradigms that promise to rekindle the desire to move beyond capitalism towards a different social order. As such, it will appeal to scholars and students across the humanities and social sciences with particular interests in social and political theory, contemporary philosophy and the crises faced by the current capitalist order.
States of Intoxication: The Place of Alcohol in Civilisation (The Social Pathologies of Contemporary Civilization)
by John O'BrienThis book provides an illuminating perspective on alcohol use, drawing on approaches from both anthropological research and historical sociology to examine our ambivalent attitudes to alcohol in the modern West. From anthropological research on non-Western, non-modern cultures, the author demonstrates that the use of alcohol or other psychoactive substances is a universal across human societies, and indeed, has tended to be seen as unproblematic, or even a sacred aspect of culture, often used in a highly ritualised context. From historical sociology, it is shown that alcohol has also been central to the process of state formation, not only as a crucial source of revenue, but also through having an important role in the formation of political communities, which frequently are a source of existential fear for ruling groups. Tracing this contradictory position occupied by alcohol over the course of history and civilisation, States of Intoxication sheds light on the manner in which it has produced the very peculiar modern perspective on alcohol.
States of Knowledge: The Co-Production of Science and the Social Order (International Library of Sociology)
by Sheila JasanoffNotes on contributors Acknowledgements 1. The Idiom of Co-production Sheila Jasanoff 2. Ordering Knowledge, Ordering Society Sheila Jasanoff 3. Climate Science and the Making of a Global Political Order Clark A. Miller 4. Co-producing CITES and the African Elephant Charis Thompson 5. Knowledge and Political Order in the European Environment Agency Claire Waterton and Brian Wynne 6. Plants, Power and Development: Founding the Imperial Department of Agriculture for the West Indies, 1880-1914 William K. Storey 7. Mapping Systems and Moral Order: Constituting property in genome laboratories Stephen Hilgartner 8. Patients and Scientists in French Muscular Dystrophy Research Vololona Rabeharisoa and Michel Callon 9. Circumscribing Expertise: Membership categories in courtroom testimony Michael Lynch 10. The Science of Merit and the Merit of Science: Mental order and social order in early twentieth-century France and America John Carson 11. Mysteries of State, Mysteries of Nature: Authority, knowledge and expertise in the seventeenth century Peter Dear 12. Reconstructing Sociotechnical Order: Vannevar Bush and US science policy Michael Aaron Dennis 13. Science and the Political Imagination in Contemporary Democracies Yaron Ezrah 14. Afterword Sheila Jasanoff References Index
States of Surveillance: Ethnographies of New Technologies in Policing and Justice (Routledge Studies in Surveillance)
by Maya Avis, Daniel Marciniak and Maria SapignoliRecent discussions on big data surveillance and artificial intelligence in governance have opened up an opportunity to think about the role of technology in the production of the knowledge states use to govern. The contributions in this volume examine the socio-technical assemblages that underpin the surveillance carried out by criminal justice institutions – particularly the digital tools that form the engine room of modern state bureaucracies.Drawing on ethnographic research in contexts from across the globe, the contributions to this volume engage with technology’s promises of transformation, scrutinise established ways of thinking that becomeembedded through technologies, critically consider the dynamics that shape the political economy driving the expansion of security technologies, and examine how those at the margins navigate experiences of surveillance.The book is intended for an interdisciplinary academic audience interested in ethnographic approaches to the study of surveillance technologies in policing and justice. Concrete case studies provide students, practitioners, and activists from a broad range of backgrounds with nuanced entry points to the debate.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution (CC-BY) 4.0 International license.
States Without Nations: Citizenship for Mortals (New Directions in Critical Theory #34)
by Jacqueline StevensAs citizens, we hold certain truths to be self-evident: that the rights to own land, marry, inherit property, and especially to assume birthright citizenship should be guaranteed by the state. The laws promoting these rights appear not only to preserve our liberty but to guarantee society remains just. Yet considering how much violence and inequality results from these legal mandates, Jacqueline Stevens asks whether we might be making the wrong assumptions. Would a world without such laws be more just?Arguing that the core laws of the nation-state are more about a fear of death than a desire for freedom, Jacqueline Stevens imagines a world in which birthright citizenship, family inheritance, state-sanctioned marriage, and private land ownership are eliminated. Would chaos be the result? Drawing on political theory and history and incorporating contemporary social and economic data, she brilliantly critiques our sentimental attachments to birthright citizenship, inheritance, and marriage and highlights their harmful outcomes, including war, global apartheid, destitution, family misery, and environmental damage. It might be hard to imagine countries without the rules of membership and ownership that have come to define them, but as Stevens shows, conjuring new ways of reconciling our laws with the condition of mortality reveals the flaws of our present institutions and inspires hope for moving beyond them.
State–Society Relations around the World through the Lens of the COVID-19 Pandemic: Rapid Test (The COVID-19 Pandemic Series)
by Federica Duca Sarah Meny-GibertThe collection examines state–society relations during the COVID-19 pandemic, from governance at the outset of the pandemic to vaccine rollouts, via a series of case studies from around the world. With a focus on the Global South, the book includes chapters on the experiences of – Angola, Zimbabwe, South Africa, Bolivia, Argentina, Brazil, Jamaica and Indonesia as well as contributions from the Global North – on Sweden, Canada, Czech Republic and New Zealand. The collection demonstrates that the effects of the pandemic can only be properly revealed by looking at the regional and local contexts in which states and societies experienced it. Contributors examine themes such as the nature of contemporary democracy, state capacity, the legitimacy of state institutions, and trust in government, questions of social solidarity, and forms and impacts of inequality. Focusing on national (or sub-national) cases, each chapter analyses the underlying forces and structures revealed when the authority of the state is brought to bear on the agency of citizens under emergency conditions. In doing so, contributors embed analysis of pandemic governance in the historical context of each country or region, highlighting how political choices, histories of the state’s treatment of citizens and the orientations of a region’s elites shaped the actions taken by the state. The book will be of interest to those looking to understand how the pandemic was interpreted, accepted, or contested at the local (national or sub-national) level and to those interested in state–society relations more generally. It will appeal to scholars and students interested in questions of pandemic government from a social scientific point of view and especially to those interested in perspectives from the Global South.
Stateville: The Penitentiary in Mass Society (Studies in Crime and Justice)
by James B. JacobsStateville penitentiary in Illinois has housed some of Chicago's most infamous criminals and was proclaimed to be "the world's toughest prison" by Joseph Ragen, Stateville's powerful warden from 1936 to 1961. It shares with Attica, San Quentin, and Jackson the notoriety of being one of the maximum security prisons that has shaped the public's conception of imprisonment. In Stateville James B. Jacobs, a sociologist and legal scholar, presents the first historical examination of a total prison organization—administrators, guards, prisoners, and special interest groups. Jacobs applies Edward Shils's interpretation of the dynamics of mass society in order to explain the dramatic events of the past quarter century that have permanently altered Stateville's structure. With the extension of civil rights to previously marginal groups such as racial minorities, the poor, and, ultimately, the incarcerated, prisons have moved from society's periphery toward its center. Accordingly Stateville's control mechanisms became less authoritarian and more legalistic and bureaucratic. As prisoners' rights increased, the preogatives of the staff were sharply curtailed. By the early 1970s the administration proved incapable of dealing with politicized gangs, proliferating interest groups, unionized guards, and interventionist courts. In addition to extensive archival research, Jacobs spent many months freely interacting with the prisoners, guards, and administrators at Stateville. His lucid presentation of Stateville's troubled history will provide fascinating reading for a wide audience of concerned readers. ". . . [an] impressive study of a complex social system."—Isidore Silver, Library Journal
Statistical Analysis: The Basics (The Basics)
by Christer ThraneStatistical Analysis: The Basics provides an engaging and easy‑to‑read primer on this sometimes daunting subject. Intended for those with little or no background in mathematics or statistics, this book explores the importance of statistical analysis in the modern world by asking statistical questions about data and explains how to conduct such analyses and correctly interpret the results.Packed with everyday examples from sport, health, education, and leisure, it reinforces the understanding of core topics while avoiding the heavy use of equations and formulae. Written in a highly accessible style and adopting a hands‑on approach, each chapter is accompanied by a summary of key points, illustrations and tables, and recommendations for further reading, with the final chapter delving into the practicalities of conducting a real‑life statistical research project.Statistical Analysis: The Basics is essential reading for anyone who wishes to master the fundamentals of modern‑day statistical analysis.
Statistical Analysis of Empirical Data: Methods for Applied Sciences
by Scott PardoResearchers and students who use empirical investigation in their work must go through the process of selecting statistical methods for analyses, and they are often challenged to justify these selections. This book is designed for readers with limited background in statistical methodology who seek guidance in defending their statistical decision-making in the worlds of research and practice. It is devoted to helping students and scholars find the information they need to select data analytic methods, and to speak knowledgeably about their statistical research processes. Each chapter opens with a conundrum relating to the selection of an analysis, or to explaining the nature of an analysis. Throughout the chapter, the analysis is described, along with some guidance in justifying the choices of that particular method.Designed to offer statistical knowledge to the non-specialist, this volume can be used in courses on research methods, or for courses on statistical applications to biological, medical, life, social, or physical sciences. It will also be useful to academic and industrial researchers in engineering and in the physical sciences who will benefit from a stronger understanding of how to analyze empirical data. The book is written for those with foundational education in calculus. However, a brief review of fundamental concepts of probability and statistics, together with a primer on some concepts in elementary calculus and matrix algebra, is included. R code and sample datasets are provided.
Statistical Analysis of Management Data
by Hubert GatignonStatistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications. It offers a clear, succinct exposition of each technique with emphasis on when each technique is appropriate and how to use it. This second edition, fully revised, updated, and expanded, reflects the most current evolution in the methods for data analysis in management and the social sciences. In particular, it places a greater emphasis on measurement models, and includes new chapters and sections on: confirmatory factor analysis canonical correlation analysis cluster analysis analysis of covariance structure multi-group confirmatory factor analysis and analysis of covariance structures. Featuring numerous examples, the book may serve as an advanced text or as a resource for applied researchers in industry who want to understand the foundations of the methods and to learn how they can be applied using widely available statistical software.
The Statistical Analysis of Quasi-Experiments
by Christopher H. AchenThis title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1986.
Statistical and Methodological Myths and Urban Legends: Doctrine, Verity and Fable in Organizational and Social Sciences
by Charles E. LanceThis book provides an up-to-date review of commonly undertaken methodological and statistical practices that are sustained, in part, upon sound rationale and justification and, in part, upon unfounded lore. Some examples of these "methodological urban legends", as we refer to them in this book, are characterized by manuscript critiques such as: (a) "your self-report measures suffer from common method bias"; (b) "your item-to-subject ratios are too low"; (c) "you can’t generalize these findings to the real world"; or (d) "your effect sizes are too low". Historically, there is a kernel of truth to most of these legends, but in many cases that truth has been long forgotten, ignored or embellished beyond recognition. This book examines several such legends. Each chapter is organized to address: (a) what the legend is that "we (almost) all know to be true"; (b) what the "kernel of truth" is to each legend; (c) what the myths are that have developed around this kernel of truth; and (d) what the state of the practice should be. This book meets an important need for the accumulation and integration of these methodological and statistical practices.
Statistical Applications for Environmental Analysis and Risk Assessment
by Joseph OfungwuStatistical Applications for Environmental Analysis and Risk Assessment guides readers through real-world situations and the best statistical methods used to determine the nature and extent of the problem, evaluate the potential human health and ecological risks, and design and implement remedial systems as necessary. Featuring numerous worked examples using actual data and "ready-made" software scripts, Statistical Applications for Environmental Analysis and Risk Assessment also includes:* Descriptions of basic statistical concepts and principles in an informal style that does not presume prior familiarity with the subject* Detailed illustrations of statistical applications in the environmental and related water resources fields using real-world data in the contexts that would typically be encountered by practitioners* Software scripts using the high-powered statistical software system, R, and supplemented by USEPA's ProUCL and USDOE's VSP software packages, which are all freely available* Coverage of frequent data sample issues such as non-detects, outliers, skewness, sustained and cyclical trend that habitually plague environmental data samples* Clear demonstrations of the crucial, but often overlooked, role of statistics in environmental sampling design and subsequent exposure risk assessment.
Statistical Applications for the Behavioral and Social Sciences
by Laurence G. Grimm K. Paul Nesselroade JrAn updated edition of a classic text on applying statistical analyses to the social sciences, with reviews, new chapters, an expanded set of post-hoc analyses, and information on computing in Excel and SPSS Now in its second edition,Statistical Applications for the Behavioral and Social Sciences has been revised and updated and continues to offer an essential guide to the conceptual foundations of statistical analyses (particularly inferential statistics), placing an emphasis on connecting statistical tools with appropriate research contexts. Designed to be accessible, the text contains an applications-oriented, step-by-step presentation of the statistical theories and formulas most often used by the social sciences. The revised text also includes an entire chapter on the basic concepts in research, presenting an overall context for all the book’s statistical theories and formulas. The authors cover descriptive statistics and z scores, the theoretical underpinnings of inferential statistics, z and t tests, power analysis, one/two-way and repeated-measures ANOVA, linear correlation and regression, as well as chi-square and other nonparametric tests. The second edition also includes a new chapter on basic probability theory. This important resource: • Contains information regarding the use of statistical software packages; both Excel and SPSS • Offers four strategically positioned and accumulating reviews, each containing a set of research-oriented diagnostic questions designed to help students determine which tests are applicable to which research scenarios • Incorporates additional statistical information on follow-up analyses such as post-hoc tests and effect sizes • Includes a series of sidebar discussions dispersed throughout the text that address, among other topics, the recent and growing controversy regarding the failed reproducibility of published findings in the social sciences • Puts renewed emphasis on presentation of data and findings using the APA format • Includes supplementary material consisting of a set of “kick-start” quizzes designed to get students quickly back up to speed at the start of an instructional period, and a complete set of ready-to-use PowerPoint slides for in-class use Written for students in areas such as psychology, sociology, criminology, political science, public health, and others, Statistical Applications for the Behavioral and Social Sciences, Second Edition continues to provide the information needed to understand the foundations of statistical analyses as relevant to the behavioral and social sciences.
Statistical Approaches for Hidden Variables in Ecology
by Nathalie Peyrard Olivier GimenezThe study of ecological systems is often impeded by components that escape perfect observation, such as the trajectories of moving animals or the status of plant seed banks. These hidden components can be efficiently handled with statistical modeling by using hidden variables, which are often called latent variables. Notably, the hidden variables framework enables us to model an underlying interaction structure between variables (including random effects in regression models) and perform data clustering, which are useful tools in the analysis of ecological data.This book provides an introduction to hidden variables in ecology, through recent works on statistical modeling as well as on estimation in models with latent variables. All models are illustrated with ecological examples involving different types of latent variables at different scales of organization, from individuals to ecosystems. Readers have access to the data and R codes to facilitate understanding of the model and to adapt inference tools to their own data.
Statistical Approaches to Causal Analysis (The SAGE Quantitative Research Kit)
by Matthew McBeeThis book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involved in carrying out various types of statistical causal analysis. In turn, helping you apply these methods to your own research. It contains guidance on: Selecting the most appropriate conditioning method for your data. Applying the Rubin’s Causal Model to your analysis, a mathematical framework for understanding and ensuring accurate causation inferences. Utilising various techniques and designs, such as propensity scores, instrumental variables analysis, and regression discontinuity designs, to better synthesise and analyse different types of data. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
Statistical Approaches to Causal Analysis (The SAGE Quantitative Research Kit)
by Matthew McBeeThis book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involved in carrying out various types of statistical causal analysis. In turn, helping you apply these methods to your own research. It contains guidance on: Selecting the most appropriate conditioning method for your data. Applying the Rubin’s Causal Model to your analysis, a mathematical framework for understanding and ensuring accurate causation inferences. Utilising various techniques and designs, such as propensity scores, instrumental variables analysis, and regression discontinuity designs, to better synthesise and analyse different types of data. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
Statistical Aspects of Community Health and Nutrition
by A. K. NigamThis book provides a detailed view of public nutrition and health. It discusses the various statistical tools and their appropriate application in public health and nutrition research, surveys, evaluation and program designing. The subject matter of this book covers a range of topics including statistical issues pertaining to measurement of hunger and food security, hunger mapping, diseases in community clusters, randomized response technique for sensitive characteristics, small area estimation and gender disparity.Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan and Bhutan)
Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge: 12th International Workshop, STACOM 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers (Lecture Notes in Computer Science #13131)
by Oscar Camara Mihaela Pop Maxime Sermesant Alistair Young Avan Suinesiaputra Karim Lekadir Esther Puyol Antón Carlos Martín-IslaThis book constitutes the proceedings of the 12th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2021, as well as the M&Ms-2 Challenge: Multi-Disease, Multi-View and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge.The 25 regular workshop papers included in this volume were carefully reviewed and selected after being revised. They deal with cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, artificial intelligence, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods. In addition, 15 papers from the M&MS-2 challenge are included in this volume. The Multi-Disease, Multi-View & Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge (M&Ms-2) is focusing on the development of generalizable deep learning models for the Right Ventricle that can maintain good segmentation accuracy on different centers, pathologies and cardiac MRI views. There was a total of 48 submissions to the workshop.
Statistical Causal Mediation Analysis with R
by Anning HuThis book comprehensively covers various causal mediation analysis (CMA) methods developed across multiple fields, organizing them into a reader-friendly progression of methodological advancements. Interest in the mechanisms that form causal relationships is widespread across various fields, including sociology, demography, economics, political science, psychology, epidemiology, public health, and educational studies, to name a few. Compared to the well-established research focusing on bivariate causality, CMA—the study of mediation mechanisms within the framework of causal inference—requires more complex identification assumptions, estimation methods, and nuanced interpretations of the results. Therefore, to conduct CMA with rigor, one must acquaint themselves with a distinct and systematic body of knowledge that is clearly separate from traditional linear regression modeling or structural equation modelling (SEM). Against this backdrop, the objectives of the proposed book are twofold. Firstly, it aims to offer readers an approachable and engaging explanation of the statistical theories underpinning the diverse methods of CMA. Specifically, we highlight the crucial mediation identification assumptions—a critical aspect frequently neglected by practitioners and educators. Secondly, the book intends to guide readers through detailed, step-by-step examples of applying CMA methods in practical research contexts. Through this approach, readers are anticipated to gain practical skills necessary for addressing their own research or teaching challenges. This book begins with traditional methods that rely on differences or products of coefficients in linear regression modeling, moves on to CMA involving a single mediator, and advances to more sophisticated approaches that manage parallel or sequentially ordered mediators. Additionally, sensitivity analysis is introduced as an important supplementary analytical step. Thus, the content spans from conventional CMA tools to the forefront methodologies that have emerged in recent decades. The book is designed to be self-sufficient, characterized by a balanced and well-integrated presentation of both theory and application.
Statistical Concepts: A Second Course
by Richard G. Lomax Debbie L. Hahs-VaughnStatistical Concepts consists of the last 9 chapters of An Introduction to Statistical Concepts, 3rd ed. Designed for the second course in statistics, it is one of the few texts that focuses just on intermediate statistics. The book highlights how statistics work and what they mean to better prepare students to analyze their own data and interpret SPSS and research results. As such it offers more coverage of non-parametric procedures used when standard assumptions are violated since these methods are more frequently encountered when working with real data. Determining appropriate sample sizes is emphasized throughout. Only crucial equations are included. The new edition features: New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award. A new chapter on logistic regression models for today's more complex methodologies. Much more on computing confidence intervals and conducting power analyses using G*Power. All new SPSS version 19 screenshots to help navigate through the program and annotated output to assist in the interpretation of results. Sections on how to write-up statistical results in APA format and new templates for writing research questions. New learning tools including chapter-opening vignettes, outlines, a list of key concepts, "Stop and Think" boxes, and many more examples, tables, and figures. More tables of assumptions and the effects of their violation including how to test them in SPSS. 33% new conceptual, computational, and all new interpretative problems. A website with Power Points, answers to the even-numbered problems, detailed solutions to the odd-numbered problems, and test items for instructors, and for students the chapter outlines, key concepts, and datasets. Each chapter begins with an outline, a list of key concepts, and a research vignette related to the concepts. Realistic examples from education and the behavioral sciences illustrate those concepts. Each example examines the procedures and assumptions and provides tips for how to run SPSS and develop an APA style write-up. Tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. Each chapter includes computational, conceptual, and interpretive problems. Answers to the odd-numbered problems are provided. The SPSS data sets that correspond to the book’s examples and problems are available on the web.? The book covers basic and advanced analysis of variance models and topics not dealt with in other texts such as robust methods, multiple comparison and non-parametric procedures, and multiple and logistic regression models. Intended for courses in intermediate statistics and/or statistics II taught in education and/or the behavioral sciences, predominantly at the master's or doctoral level. Knowledge of introductory statistics is assumed.
Statistical Concepts - A Second Course
by Debbie L. Hahs-Vaughn Richard G. LomaxStatistical Concepts—A Second Course presents the last 10 chapters from An Introduction to Statistical Concepts, Fourth Edition. Designed for second and upper-level statistics courses, this book highlights how statistics work and how best to utilize them to aid students in the analysis of their own data and the interpretation of research results. In this new edition, Hahs-Vaughn and Lomax discuss sensitivity, specificity, false positive and false negative errors. Coverage of effect sizes has been expanded upon and more organizational features (to summarize key concepts) have been included. A final chapter on mediation and moderation has been added for a more complete presentation of regression models. This book acts as a clear and accessible instructional tool to help readers fully understand statistical concepts and how to apply them to data. It is an invaluable resource for students undertaking a course in statistics in any number of social science and behavioral science disciplines.
Statistical Confidentiality
by Mark Elliot George T. Duncan Gonzalez Juan Jose SalazarBecause statistical confidentiality embraces the responsibility for both protecting data and ensuring its beneficial use for statistical purposes, those working with personal and proprietary data can benefit from the principles and practices this book presents. Researchers can understand why an agency holding statistical data does not respond well to the demand, "Just give me the data; I'm only going to do good things with it." Statisticians can incorporate the requirements of statistical confidentiality into their methodologies for data collection and analysis. Data stewards, caught between those eager for data and those who worry about confidentiality, can use the tools of statistical confidentiality toward satisfying both groups. The eight chapters lay out the dilemma of data stewardship organizations (such as statistical agencies) in resolving the tension between protecting data from snoopers while providing data to legitimate users, explain disclosure risk and explore the types of attack that a data snooper might mount, present the methods of disclosure risk assessment, give techniques for statistical disclosure limitation of both tabular data and microdata, identify measures of the impact of disclosure limitation on data utility, provide restricted access methods as administrative procedures for disclosure control, and finally explore the future of statistical confidentiality.
Statistical Data Analysis and Entropy (Behaviormetrics: Quantitative Approaches to Human Behavior #3)
by Nobuoki EshimaThis book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis. Further, it interprets basic statistical methods, such as the chi-square statistic, t-statistic, F-statistic and the maximum likelihood estimation in the context of entropy. In terms of categorical data analysis, the book discusses the entropy correlation coefficient (ECC) and the entropy coefficient of determination (ECD) for measuring association and/or predictive powers in association models, and generalized linear models (GLMs). Through association and GLM frameworks, it also describes ECC and ECD in correlation and regression analyses for continuous random variables. In multivariate statistical analysis, canonical correlation analysis, T2-statistic, and discriminant analysis are discussed in terms of entropy. Moreover, the book explores the efficiency of test procedures in statistical tests of hypotheses using entropy. Lastly, it presents an entropy-based path analysis for structural GLMs, which is applied in factor analysis and latent structure models. Entropy is an important concept for dealing with the uncertainty of systems of random variables and can be applied in statistical methodologies. This book motivates readers, especially young researchers, to address the challenge of new approaches to statistical data analysis and behavior-metric studies.
Statistical Inference
by Michael J. PanikA concise, easily accessible introduction to descriptive and inferential techniquesStatistical Inference: A Short Course offers a concise presentation of the essentials of basic statistics for readers seeking to acquire a working knowledge of statistical concepts, measures, and procedures.The author conducts tests on the assumption of randomness and normality, provides nonparametric methods when parametric approaches might not work. The book also explores how to determine a confidence interval for a population median while also providing coverage of ratio estimation, randomness, and causality. To ensure a thorough understanding of all key concepts, Statistical Inference provides numerous examples and solutions along with complete and precise answers to many fundamental questions, including:How do we determine that a given dataset is actually a random sample?With what level of precision and reliability can a population sample be estimated?How are probabilities determined and are they the same thing as odds?How can we predict the level of one variable from that of another?What is the strength of the relationship between two variables?The book is organized to present fundamental statistical concepts first, with later chapters exploring more advanced topics and additional statistical tests such as Distributional Hypotheses, Multinomial Chi-Square Statistics, and the Chi-Square Distribution. Each chapter includes appendices and exercises, allowing readers to test their comprehension of the presented material.Statistical Inference: A Short Course is an excellent book for courses on probability, mathematical statistics, and statistical inference at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and practitioners who would like to develop further insights into essential statistical tools.