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State of New Hampshire Driver's Manual 2018
by State of New Hampshire Department of SafetyState of New Hampshire Driver's Manual
The State of the World Atlas: Tenth Edition
by Dan SmithThe State of the World Atlas is an accessible, unique visual survey of current events and global trends, highlighting the international scope and complexity of many challenges facing the humanity today. With a bold new design, this distinctive atlas presents the latest statistics on international trade and migration, the globalization of work, aging and new health risks (up to and including the COVID-19 pandemic), food and water, energy resources and consumption, literacy, gender equality, wars and peacekeeping, and more. And for the newest edition, special attention has been brought to the way that all of these issues are affected by the ongoing climate crisis. Fascinating, troubling, and surprising, this is an important resource for anyone who seeks to better understand the world around them.
The State of Theory
by Richard BradfordFirst published in 1993. Routledge is an imprint of Taylor & Francis, an informa company.
State of West Virginia Driver's Licensing Handbook
by Department of Transportation State of West Virginia<p>The driver examination program provides fundamental education in traffic safety and allows you to match your driving ability with accepted standards for safe driving. <p>This manual is only a partial digest of West Virginia motor vehicle laws. As a prospective driver, you should become familiar with all of the information in this manual. It will enable you to pass the driver examination and help you become a good driver.
State of West Virginia Driver's Licensing Handbook
by West Virginia Department of TransportationState of West Virginia Driver's Licensing Handbook
State of West Virginia Driver's Licensing Handbook
by West Virginia Division of Motor VehiclesThis handbook is designed to provide you with the information you need to obtain and keep a Class E driver's license. This handbook guides you in following the laws and rules of the road, explains the best practices necessary to avoid crashes, and encourages consideration for the rights of all users of the highways.
State Rankings 2016: A Statistical View of America
by Kathleen O'Leary Morgan Scott MorganPublished annually, State Rankings features comprehensive state statistics making it easy to compare states across key measures in education, health, crime, transportation, taxes, government finance, and so much more. The editors compile useful statistics that would otherwise take an enormous amount of time to research making it a favorite resource on reference shelves throughout the United States and around the world. The rankings have been updated using specific methodology explained in the introduction. Geographic and data notes are also included to provide context. State Rankings compares every state and Washington, DC, in the following areas: - Agriculture - Population - Economy - Environment - Government finance - Crime - Education - Geography - Social welfare - Defense - Health - Energy - Housing
State Rankings 2018: A Statistical View of America
by Kathleen Morgan Scott MorganPublished annually, State Rankings features comprehensive state statistics across key measures in education, health, crime, transportation, taxes, government finance, and so much more. The editors compile useful statistics that otherwise take an enormous amount of time to research, making it a favorite resource on reference shelves throughout the United States and around the world. Overall state rankings are provided as well as a complete list of all sources used to compile the tables. The rankings have been updated using specific methodology explained in the introduction with the most current available data at publication. Explanatory notes on the source and data are also included to provide context to each statistical table. State Rankings compares every state and Washington, D.C. in the following areas: Agriculture Population Economy Environment Government finance Crime Education Geography Social welfare Defense
State, society and mobilization in Europe during the First World War
by John HorneThis volume examines political and cultural mobilisation in the face of industrialised mass death during the First World War. Comparing Britain, France, Germany, Italy and Austria-Hungary, it generates arguments on mobilisation and 'total war' which have wider relevance. It explores 'national ideals' which cast the war as a crusade, the inclusive 'self-mobilisation' of sectional identities and private organisations behind national efforts, and the exclusion of suspect groups (the 'enemy within') from the mobilisation process. It also highlights the importance, and difficulty, of assessing the limits of mobilisation as well as the differing capacities of the state to sustain it, factors related to prior degrees of national integration and political legitimacy. Mobilisation in this sense was an important factor which determined the outcome and legacy of the war.
States at War: A Reference Guide for Michigan in the Civil War (States At War Ser.)
by Richard F MillerUnlike most books about the Civil War, which address individual battles or the war at the national level, States at War: A Reference Guide for Michigan in the Civil War chronicles the actions of an individual state government and its citizenry coping with the War and its ramifications, from transformed race relations and gender roles, to the suspension of habeas corpus, to the deaths of over 10,000 Michigan fathers, husbands, sons, and brothers who had been in action. The book compiles primary source material—including official reports, legislative journals, executive speeches, special orders, and regional newspapers—to provide an exhaustive record of the important roles Michigan and Michiganders had in the War. Though not burdened by marching armies or military occupation like some states to the southeast, Michigan nevertheless had a fascinating Civil War experience that was filled with acute economic anxieties, intense political divisions, and vital contributions on the battlefield. This comprehensive volume will be the essential starting point for all future research into Michigan’s Civil War-era history.
States of Terror: History, Theory, Literature
by David SimpsonHow have we come to depend so greatly on the words terror and terrorism to describe broad categories of violence? David Simpson offers here a philology of terror, tracking the concept’s long, complicated history across literature, philosophy, political science, and theology—from Plato to NATO. Introducing the concept of the “fear-terror cluster,” Simpson is able to capture the wide range of terms that we have used to express extreme emotional states over the centuries—from anxiety, awe, and concern to dread, fear, and horror. He shows that the choices we make among such words to describe shades of feeling have seriously shaped the attribution of motives, causes, and effects of the word “terror” today, particularly when violence is deployed by or against the state. At a time when terror-talk is widely and damagingly exploited by politicians and the media, this book unpacks the slippery rhetoric of terror and will prove a vital resource across humanistic and social sciences disciplines.
States Undermining International Law: The League of Nations, United Nations, and Failed Utopianism (Philosophy, Public Policy, and Transnational Law)
by Deepak MawarThis book analyses the history of international law to reveal the significant role utopianism has played in developing the international legal system. In fact, when pinpointing the legal system’s most accelerated phases of development, it becomes increasingly apparent how integral utopianism has been in dealing with the international community’s most troubled periods such as the World Wars. However, States have on numerous occasions undermined utopianism, leading to situations where individuals and communities have been vulnerable to modes of oppression such as war or repressive regimes. Thus, by examining the League of Nations and United Nations, this book seeks to show why utopianism continues to be a vital ingredient when the international community is seeking to ensure its loftiest and most ambitious goals such as maintaining international peace and security, and why for the sake of such utopian aspirations, the primary position States enjoy in international law requires reassessment.
Statin Nation: The Ill-Founded War on Cholesterol, What Really Causes Heart Disease, and the Truth About the Most Overprescribed Drugs in the World
by null Justin SmithA new understanding of heart disease and an innovative path to a viable alternative model to address the real causes of heart disease.Heart disease is the leading cause of death worldwide, and for decades conventional health authorities have pushed that the culprits are fat and cholesterol clogging up coronary arteries. Consequently, lowering cholesterol has become a hugely lucrative business, and cholesterol-lowering Statin drugs are now the most prescribed medication in the world, with clinical data showing one billion people eligible for prescription. However, these cholesterol guidelines have been heavily criticized, and increasingly, doctors and researchers have been questioning the role cholesterol plays in heart disease. We now know that people with heart disease often do not, in fact, have high cholesterol, and even the strongest supporters of the cholesterol hypothesis now admit that no ideal level of cholesterol can be identified.Large-scale studies have proven that statins are not generating the benefits that were predicted, and new research shows that high cholesterol may actually prevent heart disease. Worse still, millions of people in the United States and worldwide are taking statins preventatively, at great cost to their health. A complete reevaluation of the real causes of heart disease is long overdue, not to mention an inquiry into why the pharmaceutical industry continues to overprescribe statins (and market them aggressively to consumers) despite this evidence.Statin Nation offers a new understanding of heart disease, and Justin Smith forges an innovative path away from the outdated cholesterol myth with a viable alternative model to address the real causes of heart disease. Statin Nation provides detailed examinations of nutritional alternatives that are up to six times more effective than statins, and other interventions that have been shown to be up to eleven times more effective than statins. But all of these methods are currently ignored by health authorities. Smith provides a heart disease prevention plan that anyone can use, providing hope for the future of heart-disease treatment with a purpose.&“A complete and authoritative explanation of the causes of heart disease. . . This book fills an important need for a comprehensive explanation of the pharmaceutical industry&’s efforts to profit from statin drugs, of the trivial effect on prevention of heart disease by these drugs, and of their serious toxic side effects. More importantly, the book describes the true causes of heart disease and emphasizes optimal nutrition as the correct approach to prevention.&”—Kilmer McCully, MD, author of The Heart Revolution
The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach (Chapman & Hall/CRC Monographs on Statistics and Applied Probability #1)
by Shanshan Zhao Ross PrenticeThe Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach provides an innovative look at methods for the analysis of correlated failure times. The focus is on the use of marginal single and marginal double failure hazard rate estimators for the extraction of regression information. For example, in a context of randomized trial or cohort studies, the results go beyond that obtained by analyzing each failure time outcome in a univariate fashion. The book is addressed to researchers, practitioners, and graduate students, and can be used as a reference or as a graduate course text. Much of the literature on the analysis of censored correlated failure time data uses frailty or copula models to allow for residual dependencies among failure times, given covariates. In contrast, this book provides a detailed account of recently developed methods for the simultaneous estimation of marginal single and dual outcome hazard rate regression parameters, with emphasis on multiplicative (Cox) models. Illustrations are provided of the utility of these methods using Women’s Health Initiative randomized controlled trial data of menopausal hormones and of a low-fat dietary pattern intervention. As byproducts, these methods provide flexible semiparametric estimators of pairwise bivariate survivor functions at specified covariate histories, as well as semiparametric estimators of cross ratio and concordance functions given covariates. The presentation also describes how these innovative methods may extend to handle issues of dependent censorship, missing and mismeasured covariates, and joint modeling of failure times and covariates, setting the stage for additional theoretical and applied developments. This book extends and continues the style of the classic Statistical Analysis of Failure Time Data by Kalbfleisch and Prentice. Ross L. Prentice is Professor of Biostatistics at the Fred Hutchinson Cancer Research Center and University of Washington in Seattle, Washington. He is the recipient of COPSS Presidents and Fisher awards, the AACR Epidemiology/Prevention and Team Science awards, and is a member of the National Academy of Medicine. Shanshan Zhao is a Principal Investigator at the National Institute of Environmental Health Sciences in Research Triangle Park, North Carolina.
Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results: Summary of a Workshop
by National Academies of Sciences Engineering MedicineQuestions about the reproducibility of scientific research have been raised in numerous settings and have gained visibility through several high-profile journal and popular press articles. Quantitative issues contributing to reproducibility challenges have been considered (including improper data measurement and analysis, inadequate statistical expertise, and incomplete data, among others), but there is no clear consensus on how best to approach or to minimize these problems. A lack of reproducibility of scientific results has created some distrust in scientific findings among the general public, scientists, funding agencies, and industries. While studies fail for a variety of reasons, many factors contribute to the lack of perfect reproducibility, including insufficient training in experimental design, misaligned incentives for publication and the implications for university tenure, intentional manipulation, poor data management and analysis, and inadequate instances of statistical inference. The workshop summarized in this report was designed not to address the social and experimental challenges but instead to focus on the latter issues of improper data management and analysis, inadequate statistical expertise, incomplete data, and difficulties applying sound statistic inference to the available data. Many efforts have emerged over recent years to draw attention to and improve reproducibility of scientific work. This report uniquely focuses on the statistical perspective of three issues: the extent of reproducibility, the causes of reproducibility failures, and the potential remedies for these failures.
Statistical Computing with R, Second Edition (Chapman & Hall/CRC The R Series)
by Maria L. RizzoComputational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional core material of computational statistics, with an
Statistical Concepts For The Behavioral Sciences
by Harold O. Kiess Bonnie A. GreenThis text emphasizes contemporary research problems to better illustrate the relevance of statistical analysis in scientific research. All statistical methods are introduced in the context of a realistic problem, many of which are from contemporary published research. Visit Bonnie and Hal's Statistical Sage Blog which includes helpful information on teaching and engaging students in your undergraduage statistics course! Click here:http://statisticalsage. wordpress. com/
Statistical Machine Learning: A Unified Framework (Chapman & Hall/CRC Texts in Statistical Science)
by Richard GoldenThe recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework provides students, engineers, and scientists with tools from mathematical statistics and nonlinear optimization theory to become experts in the field of machine learning. In particular, the material in this text directly supports the mathematical analysis and design of old, new, and not-yet-invented nonlinear high-dimensional machine learning algorithms. Features: Unified empirical risk minimization framework supports rigorous mathematical analyses of widely used supervised, unsupervised, and reinforcement machine learning algorithms Matrix calculus methods for supporting machine learning analysis and design applications Explicit conditions for ensuring convergence of adaptive, batch, minibatch, MCEM, and MCMC learning algorithms that minimize both unimodal and multimodal objective functions Explicit conditions for characterizing asymptotic properties of M-estimators and model selection criteria such as AIC and BIC in the presence of possible model misspecification This advanced text is suitable for graduate students or highly motivated undergraduate students in statistics, computer science, electrical engineering, and applied mathematics. The text is self-contained and only assumes knowledge of lower-division linear algebra and upper-division probability theory. Students, professional engineers, and multidisciplinary scientists possessing these minimal prerequisites will find this text challenging yet accessible. About the Author: Richard M. Golden (Ph.D., M.S.E.E., B.S.E.E.) is Professor of Cognitive Science and Participating Faculty Member in Electrical Engineering at the University of Texas at Dallas. Dr. Golden has published articles and given talks at scientific conferences on a wide range of topics in the fields of both statistics and machine learning over the past three decades. His long-term research interests include identifying conditions for the convergence of deterministic and stochastic machine learning algorithms and investigating estimation and inference in the presence of possibly misspecified probability models.
Statistical Modeling for Biomedical Researchers
by William D. DupontThis text will enable biomedical researchers to use a number of advanced statistical methods that have proven valuable in medical research. It is intended for people who have had an introductory course in biostatistics. A statistical software package (Stata) is used to avoid mathematics beyond the high school level. The emphasis is on understanding the assumptions underlying each method, using exploratory techniques to determine the most appropriate method, and presenting results in a way that will be readily understood by clinical colleagues. Numerous real examples from the medical literature are used to illustrate these techniques. Graphical methods are used extensively. Topics covered include linear regression, logistic regression, Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measures analysis of variance. Each method is introduced in its simplest form and is then extended to cover situations in which multiple explanatory variables are collected on each study subject.
Statistics 101: From Data Analysis and Predictive Modeling to Measuring Distribution and Determining Probability, Your Essential Guide to Statistics (Adams 101)
by David BormanA comprehensive guide to statistics—with information on collecting, measuring, analyzing, and presenting statistical data—continuing the popular 101 series. Data is everywhere. In the age of the internet and social media, we’re responsible for consuming, evaluating, and analyzing data on a daily basis. From understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice. Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you’ll learn the basics of statistics in a way that is both easy-to-understand and apply. From learning the theory of probability and different kinds of distribution concepts, to identifying data patterns and graphing and presenting precise findings, this essential guide can help turn statistical math from scary and complicated, to easy and fun. Whether you are a student looking to supplement your learning, a worker hoping to better understand how statistics works for your job, or a lifelong learner looking to improve your grasp of the world, Statistics 101 has you covered.
Statistics, 3E (Idiot's Guides)
by Robert A. Donnelly Fatma Abdel-RaoufStatistics is a class that is required in many college majors, and it&’s an increasingly popular Advanced Placement (AP) high school course. In addition to math and technical students, many business and liberal arts students are required to take it as a fundamental component of their majors. A knowledge of statistical interpretation is vital for many careers. Idiot&’s Guides®: Statistics explains the fundamental tenets in language anyone can understand. Content includes: - Calculating descriptive statistics. - Measures of central tendency: mean, median, and mode. - Probability. - Variance analysis. - Inferential statistics. - Hypothesis testing. - Organizing data into statistical charts and tables.
Statistics for Business
by Perumal MariappanStatistics for Business is meant as a textbook for students in business, computer science, bioengineering, environmental technology, and mathematics. In recent years, business statistics is used widely for decision making in business endeavours. It emphasizes statistical applications, statistical model building, and determining the manual solution methods. Special Features: This text is prepared based on "self-taught" method. For most of the methods, the required algorithm is clearly explained using flow-charting methodology. More than 200 solved problems provided. More than 175 end-of-chapter exercises with answers are provided. This allows teachers ample flexibility in adopting the textbook to their individual class plans. This textbook is meant to for beginners and advanced learners as a text in Statistics for Business or Applied Statistics for undergraduate and graduate students.
Statistics for Research: With a Guide to SPSS
by George ArgyrousIntroduction to the basic statistical concepts of data description, sampling estimation, inference and association/correlation. For students and professionals who do not have any existing knowledge in the field of statistics. A step-by-step approach takes the readers through the application of these concepts to concrete problems with explanations. For SPSS users, these examples are reworked with a guide to the commands required and an explanation of the output that is generated. Disks with the data necessary to generate the results and replicate the procedures described in the book are included in both Macintosh and PC formats. The author teaches in the School of Social Sciences and Policy at the UNSW. Also available in hardback.
Statistics for Sport and Exercise Studies: An Introduction
by Peter O'DonoghueStatistics for Sport and Exercise Studies guides the student through the full research process, from selecting the most appropriate statistical procedure, to analysing data, to the presentation of results, illustrating every key step in the process with clear examples, case-studies and data taken from real sport and exercise settings. Every chapter includes a range of features designed to help the student grasp the underlying concepts and relate each statistical procedure to their own research project, including definitions of key terms, practical exercises, worked examples and clear summaries. The book also offers an in-depth and practical guide to using SPSS in sport and exercise research, the most commonly used data analysis software in sport and exercise departments. In addition, a companion website includes more than 100 downloadable data sets and work sheets for use in or out of the classroom, full solutions to exercises contained in the book, plus over 1,300 PowerPoint slides for use by tutors and lecturers. Statistics for Sport and Exercise Studies is a complete, user-friendly introduction to the use of statistical tests, techniques and procedures in sport, exercise and related subjects. Visit the companion website at: www.routledge.com/cw/odonoghue
Statistics for the Behavioural Sciences: An Introduction to Frequentist and Bayesian Approaches
by Riccardo RussoThis accessible textbook is for those without a mathematical background (just some notions of basic algebra are sufficient) and provides a comprehensive introduction to all topics covered in introductory behavioural science statistics courses. It includes plenty of real examples to demonstrate approaches in depth based on real psychology experiments utilizing the statistical techniques described. New content in this thoroughly updated second edition includes an introduction to Bayesian statistics which complements the coverage of Classical/Frequentist statistics present in the first edition. It also offers practical details on how to perform analyses using JASP – a globally employed, freely downloadable statistical package. The updated eResources also feature a range of new material including additional exercises so readers can test themselves on what they have learned in the book. This timely and highly readable text will be invaluable to undergraduate students of psychology and research methods courses in related disciplines, as well as anyone with an interest in understanding and applying the basic concepts and inferential techniques associated with statistics in the behavioural sciences.