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Effective Experimentation

by Gordon Smith Richard Boddy

Effective Experimentation is a practical book on how to design and analyse experiments. Each of the methods are introduced and illustrated through real world scenario drawn from industry or research. Formulae are kept to a minimum to enable the reader to concentrate on how to apply and understand the different methods presented.The book has been developed from courses run by Statistics for Industry Limited during which time more than 10,000 scientists and technologists have gained the knowledge and confidence to plan experiments successfully and to analyse their data. Each chapter starts with an example of a design obtained from the authors' experience. Statistical methods for analysing data are introduced, followed, where appropriate, by a discussion of the assumptions of the method and effectiveness and limitations of the design.The examples have been chosen from many industries including chemicals, oils, building materials, textiles, food, drink, lighting, water, pharmaceuticals, electronics, paint, toiletries and petfoods.This book is a valuable resource for researchers and industrial statisticians involved in designing experiments. Postgraduates studying statistics, engineering and mathematics will also find this book of interest.

Effective Field Theory for Spontaneously Broken Symmetry (Lecture Notes in Physics #1023)

by Tomáš Brauner

This open access book is about spontaneous symmetry breaking, which is a classic area of theoretical physics that lies at the core of many fascinating phenomena such as ferromagnetism, superfluidity, superconductivity, or the Higgs mechanism. The book brings an up-to-date overview of spontaneous symmetry breaking and of modern effective field theory description thereof. The topics covered include the classification of Nambu–Goldstone bosons, nonlinear realization of internal and spacetime symmetries and the construction of the corresponding effective actions, and selected applications. With in-depth exposition of conceptual foundations and numerous illustrative examples, the book is accessible to anybody having taken a basic course on quantum field theory. It serves as a self-contained text for graduate students and junior researchers in diverse areas of physics, but also as a useful reference for experts.

Effective Kan Fibrations in Simplicial Sets (Lecture Notes in Mathematics #2321)

by Benno van den Berg Eric Faber

This book introduces the notion of an effective Kan fibration, a new mathematical structure which can be used to study simplicial homotopy theory. The main motivation is to make simplicial homotopy theory suitable for homotopy type theory. Effective Kan fibrations are maps of simplicial sets equipped with a structured collection of chosen lifts that satisfy certain non-trivial properties. Here it is revealed that fundamental properties of ordinary Kan fibrations can be extended to explicit constructions on effective Kan fibrations. In particular, a constructive (explicit) proof is given that effective Kan fibrations are stable under push forward, or fibred exponentials. Further, it is shown that effective Kan fibrations are local, or completely determined by their fibres above representables, and the maps which can be equipped with the structure of an effective Kan fibration are precisely the ordinary Kan fibrations. Hence implicitly, both notions still describe the same homotopy theory. These new results solve an open problem in homotopy type theory and provide the first step toward giving a constructive account of Voevodsky’s model of univalent type theory in simplicial sets.

Effective Math Interventions: A Guide To Improving Whole-number Knowledge

by Robert J. Volpe Robin S. Codding Brian C. Poncy

Building foundational whole-number knowledge can help put K-5 students on the path to academic success and career readiness. Filling a gap for school practitioners, this book presents step-by-step guidelines for designing and implementing classwide, small-group, and individual interventions for mathematics difficulties. Effective procedures for screening, assessment, intervention selection, and progress monitoring are described and illustrated with detailed case vignettes. In a convenient large-size format, the book includes 20 reproducible handouts and forms. Purchasers get access to a Web page where they can download and print the reproducible materials. This book is in The Guilford Practical Intervention in the Schools Series, edited by Sandra M. Chafouleas.

Effective Mathematics of the Uncountable

by Noam Greenberg Joel David Hamkins Denis Hirschfeldt Russell Miller

Classical computable model theory is most naturally concerned with countable domains. There are, however, several methods - some old, some new - that have extended its basic concepts to uncountable structures. Unlike in the classical case, however, no single dominant approach has emerged, and different methods reveal different aspects of the computable content of uncountable mathematics. This book contains introductions to eight major approaches to computable uncountable mathematics: descriptive set theory; infinite time Turing machines; Blum-Shub-Smale computability; Sigma-definability; computability theory on admissible ordinals; E-recursion theory; local computability; and uncountable reverse mathematics. This book provides an authoritative and multifaceted introduction to this exciting new area of research that is still in its early stages. It is ideal as both an introductory text for graduate and advanced undergraduate students, and a source of interesting new approaches for researchers in computability theory and related areas.

Effective Methods for Integrated Process Planning and Scheduling (Engineering Applications of Computational Methods #2)

by Liang Gao Xinyu Li

This book summarizes a series of research work on integrated process planning and scheduling (IPPS) done by the authors, focusing on discussing the properties, novel solution methods and applications of process planning, scheduling and IPPS problems under different machining environments. It is a valuable reference resource for teachers, students and researchers working in the fields of engineering, management science and other related disciplines.

Effective Methods for Software Engineering

by Boyd L. Summers

Software is important because it is used by a great many people in companies and institutions. This book presents engineering methods for designing and building software. Based on the author’s experience in software engineering as a programmer in the defense and aerospace industries, this book explains how to ensure a software that is programmed operates according to its requirements. It also shows how to develop, operate, and maintain software engineering capabilities by instilling an engineering discipline to support programming, design, builds, and delivery to customers. This book helps software engineers to: Understand the basic concepts, standards, and requirements of software engineering. Select the appropriate programming and design techniques. Effectively use software engineering tools and applications. Create specifications to comply with the software standards and requirements. Utilize various methods and techniques to identify defects. Manage changes to standards and requirements. Besides providing a technical view, this book discusses the moral and ethical responsibility of software engineers to ensure that the software they design and program does not cause serious problems. Software engineers tend to be concerned with the technical elegance of their software products and tools, whereas customers tend to be concerned only with whether a software product meets their needs and is easy and ready to use. This book looks at these two sides of software development and the challenges they present for software engineering. A critical understanding of software engineering empowers developers to choose the right methods for achieving effective results. Effective Methods for Software Engineering guides software programmers and developers to develop this critical understanding that is so crucial in today’s software-dependent society.

Effective Non-Hermiticity and Topology in Markovian Quadratic Bosonic Dynamics (Springer Theses)

by Vincent Paul Flynn

This thesis provides an in-depth investigation of effective non-Hermiticity and topology in many-mode, non-interacting, bosonic systems. It also establishes the extent to which one must move beyond the Hamiltonian, closed-system setting, in order to uncover signatures of genuine symmetry-protected topological (SPT) physics in "free" (mean-field) bosons. While SPT phases of free fermionic matter and their associated zero-energy boundary-localized modes have been thoroughly explored, similar physics in free bosonic systems still remains elusive. No fermionic counterpart exists for the distinctive dynamical behavior that arises from the effective non-Hermiticity, intrinsic even at equilibrium, to bosonic Hamiltonians. Therefore, a much needed paradigm shift is required to address major conceptual roadblocks in the search for SPT bosonic phases.The analysis within develops, in particular, the notion of topological metastability in quadratic bosonic systems subject to Markovian dissipation. The resulting dynamical paradigm was found to be characterized by both a sharp separation between transient and asymptotic dynamics and non-trivial topological invariants. It also features long-lived boundary-localized "Majorana boson" and "Dirac boson" modes, which realize tight bosonic analogues to the edge modes characteristic of fermionic SPT phases. This comprehensive look into non-interacting bosonic systems breaks important new ground for re-imagining quantum phenomena beyond equilibrium, with novel applications in quantum science.

Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions (Springer Actuarial)

by Michel Denuit Donatien Hainaut Julien Trufin

This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). In order to deal with tail events, analytical tools from Extreme Value Theory are presented. Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS). Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities. The exposition alternates between methodological aspects and case studies, providing numerical illustrations using the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. This is the first of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P&C, life and health insurance. Although closely related to the other two volumes, this volume can be read independently.

Effective Statistical Learning Methods for Actuaries II: Tree-Based Methods and Extensions (Springer Actuarial)

by Michel Denuit Donatien Hainaut Julien Trufin

This book summarizes the state of the art in tree-based methods for insurance: regression trees, random forests and boosting methods. It also exhibits the tools which make it possible to assess the predictive performance of tree-based models. Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities. The exposition alternates between methodological aspects and numerical illustrations or case studies. All numerical illustrations are performed with the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. In particular, master's students in actuarial sciences and actuaries wishing to update their skills in machine learning will find the book useful. This is the second of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P&C, life and health insurance.

Effective Statistical Learning Methods for Actuaries III: Neural Networks and Extensions (Springer Actuarial)

by Michel Denuit Donatien Hainaut Julien Trufin

This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance. It simultaneously introduces the relevant tools for developing and analyzing neural networks, in a style that is mathematically rigorous yet accessible. Artificial intelligence and neural networks offer a powerful alternative to statistical methods for analyzing data. Various topics are covered from feed-forward networks to deep learning, such as Bayesian learning, boosting methods and Long Short Term Memory models. All methods are applied to claims, mortality or time-series forecasting. Requiring only a basic knowledge of statistics, this book is written for masters students in the actuarial sciences and for actuaries wishing to update their skills in machine learning. This is the third of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P&C, life and health insurance. Although closely related to the other two volumes, this volume can be read independently.

Effective Teaching Strategies for Dyscalculia and Learning Difficulties in Mathematics: Perspectives from Cognitive Neuroscience

by Marie-Pascale Noël Giannis Karagiannakis

Effective Teaching Strategies for Dyscalculia and Learning Difficulties in Mathematics provides an essential bridge between scientific research and practical interventions with children. It unpacks what we know about the possible cognitive causation of mathematical difficulties in order to improve teaching and therefore learning. Each chapter considers a specific domain of children’s numerical development: counting and the understanding of numbers, understanding of the base-10 system, arithmetic, word problem solving, and understanding rational numbers. The accessible guidance includes a literature review on each topic, surveying how each process develops in children, the difficulties encountered at that level by some pupils, and the intervention studies that have been published. It guides the reader step-by-step through practical guidelines of how to assess these processes and how to build an intervention to help children master them. Illustrated throughout with examples of materials used in the effective interventions described, this essential guide offers deep understanding and effective strategies for developmental and educational psychologists, special educational needs and/or disabilities coordinators, and teachers working with children experiencing mathematical difficulties.

Effective Theories in Physics

by James D. Wells

There is significant interest in the Philosophy of Science community to understand the role that "effective theories" have in the work of forefront science. The ideas of effective theories have been implicit in science for a long time, but have only been articulated well in the last few decades. Since Wilson's renormalization group revolution in the early 1970's, the science community has come to more fully understand its power, and by the mid-1990's it had gained its apotheosis. It is still one of the most powerful concepts in science, which has direct impact in how one thinks about and formulates theories of nature. It is this power that this Brief sets out to emphasize through historical analysis and current examples.

Effective Theories in Physics: From Planetary Orbits to Elementary Particle Masses (SpringerBriefs in Physics)

by James D. Wells

This open access book…There is significant interest in the Philosophy of Science community to understand the role that "effective theories" have in the work of forefront science. The ideas of effective theories have been implicit in science for a long time, but have only been articulated well in the last few decades. Since Wilson's renormalization group revolution in the early 1970's, the science community has come to more fully understand its power, and by the mid-1990's it had gained its apotheosis. It is still one of the most powerful concepts in science, which has direct impact in how one thinks about and formulates theories of nature. It is this power that this Brief sets out to emphasize through historical analysis and current examples.This is an open access book.

Effective Writing in Psychology

by Bernard C. Beins

The second edition of Effective Writing in Psychology helps users produce crisp scientific communication, form concise unambiguous arguments, and render technical information clear and comprehensible. The new edition incorporates the latest guidelines contained within the 6th edition of the APA Publication Manual. Clear guidelines on effective writing illustrate how to generate strong and compelling prose, even when the writing is not aimed at a research audience Incorporates changes to the guidelines contained in the 6th edition of the APA publication manual Includes material on how to adapt APA style for poster presentations using PowerPoint, and for oral presentations Contains a new section on using the Internet to present research papers and a new chapter on conducting a literature search, to guide students through databases, keywords, sources, and connections between articles Highlights methods for selecting a research topic and organizing papers Features a sample manuscript showing common deviations from correct APA style and a version demonstrating appropriate use of APA style

Effective Writing in Psychology: Papers, Posters, and Presentations (Wiley Desktop Editions Ser.)

by Bernard C. Beins Agatha M. Beins

This book helps students, writers and speakers at all levels refine their communication skills by guiding them at every stage of the process. Focuses on principles of good writing and writing in APA style Offers tips on internet publishing, poster presentations, and making presentations to Institutional Review Boards (IRBs) Highlights methods for selecting a research topic, organizing papers and communicating statistics in an accessible way

Effective Writing in Psychology: Papers, Posters, and Presentations (Wiley Desktop Editions Ser.)

by Bernard C. Beins Agatha M. Beins

Master the art of APA-style writing with this newly updated and accessible resource The newly and thoroughly revised Third Edition of Effective Writing in Psychology: Papers, Posters, and Presentations offers compelling and comprehensive guidance to readers who want to create powerful and persuasive prose in a rigorous, scientific, and APA-compliant framework. Distinguished academics and authors Bernard and Agatha Beins walk readers through the foundational and advanced topics they must grasp to generate convincing and credible APA-stye writing. The book combines an accessible and approachable guide to effective writing with the most current best practices from the 7th edition of the American Psychological Association's publication manual. New writers and experienced authors alike will benefit from Effective Writing in Psychology's descriptions of the most frequently used and important aspects of APA-style writing. The authors minimize their use of technical jargon and include explanations of how to create effective posters, deliver high-quality oral presentations, and publish electronically. The book also includes: An up-to-date presentation of ethical, inclusive writing and proper use of modern pronouns Step-by-step guidance on the use of APA formatting in scholarly papers Explanations of how to create effective posters for poster sessions Descriptions of how to organize convincing and credible oral presentations that leave listeners and conference attendees impressed and edified The basics of creating and formatting electronic documents for publication on the web Effective Writing in Psychology: Papers, Posters, and Presentations is an invaluable resource for psychology and social, and behavioral science students at any level. It also belongs on the bookshelves of practicing psychology professionals, researchers, and academics who would like to brush up on their technical writing abilities.

Effective and Equitable Teacher Practice in Mathematics and Science Education: A Nordic Perspective Across Time and Groups of Students (IEA Research for Education #14)

by Trude Nilsen Kajsa Yang Hansen Nani Teig

This open access book presents original research on effective and equitable teacher practice in mathematics and science education across Nordic countries. It focuses on three key aspects of teacher practice: what teachers teach, how teachers teach, and how teachers assess their students.To provide a comprehensive understanding of teacher practice, data from the IEA’s Trends in Mathematics and Science Study (TIMSS) from 2011 to 2019 was analyzed. TIMSS provides large-scale and representative data, allowing an in-depth investigation of the relations between teachers, their practices, and student outcomes. The findings highlight the changes in teacher practice over time and the extent to which such changes explain the differences in student outcomes. This research also contributes to understanding how the relationships between teacher practice and student outcomes vary across different student groups (i.e., gender, socioeconomic status, and language background). The empirical evidence presented not only adds a significant layer to the academic discourse but also offers practical implications. These insights are crucial in facilitating educational policymaking and classroom practices aimed at improving student outcomes and closing gaps in educational inequality.

Effects of Non-locality in Gravity and Quantum Theory (Springer Theses)

by Jens Boos

This thesis is devoted to the systematic study of non-local theories that respect Lorentz invariance and are devoid of new, unphysical degrees of freedom. Such theories are attractive for phenomenological applications since they are mostly unconstrained by current experiments. Non-locality has played an increasingly important role in the physics of the last decades, appearing in effective actions in quantum field theory, and arising naturally in string theory and non-commutative geometry. It may even be a necessary ingredient for quantum theories of gravity. It is a feature of quantum entanglement, and may even solve the long-standing black hole information loss problem. “Non-locality” is a broad concept with many promising and fruitful applications in theoretical and mathematical physics. After a historical and pedagogical introduction into the concept of non-locality the author develops the notion of non-local Green functions to study various non-local weak-field problems in quantum mechanics, quantum field theory, gravity, and quantum field theory in curved spacetime. This thesis fills a gap in the literature by providing a self-contained exploration of weak-field effects in non-local theories, thereby establishing a “non-local intuition” which may serve as a stepping stone for studies of the full, non-linear problem of non-locality.

Efficacy Analysis in Clinical Trials an Update: Efficacy Analysis in an Era of Machine Learning

by Aeilko H. Zwinderman Ton J. Cleophas

Machine learning and big data is hot. It is, however, virtually unused in clinical trials. This is so, because randomization is applied to even out multiple variables Modern medical computer files often involve hundreds of variables like genes and other laboratory values, and computationally intensive methods are required This is the first publication of clinical trials that have been systematically analyzed with machine learning. In addition, all of the machine learning analyses were tested against traditional analyses. Step by step statistics for self-assessments are included The authors conclude, that machine learning is often more informative, and provides better sensitivities of testing than traditional analytic methods do

Efficiency Measures in the Agricultural Sector: With Applications

by Emiliana L. D. G. Soares da Silva Jorge M Azevedo Santos Armando Mendes

The editors draw on a 3-year project that analyzed a Portuguese area in detail, comparing this study with papers from other regions. Applications include the estimation of technical efficiency in agricultural grazing systems (dairy, beef and mixed) and specifically for dairy farms. The conclusions indicate that it is now necessary to help small dairy farms in order to make them more efficient. These results can be compared with the technical efficiency of a sample of Spanish dairy processing firms presented by Magdalena Kapelko and co-authors.

Efficiency and Productivity Analysis: Using Copulas in Stochastic Frontier Models (ISSN)

by Artem Prokhorov

This book is an easy-to-understand guide to modeling productivity and efficiency using modern statistical tools. It introduces readers to the fundamentals of stochastic frontier analysis (SFA) and gradually takes them to the forefront of academic research in this area, examining the latest concepts and methods related to the use of copulas in SFA.Following a comprehensive review of classic methodology, Professor Artem Prokhorov covers topics in panel data modeling, in endogeneity in SFA, in joint modeling of technical and allocative inefficiency, and in optimal and robust prediction of inefficiency scores. This is done using copulas to capture various kinds of statistical dependence that have been previously ignored when modeling production. The classic and advanced topics are illustrated using practical examples and codes written in modern programming languages. As an important example, the book spells out the case where both the values of output and the ratio of inputs used in production are optimized simultaneously. Such simultaneity, if ignored, leads to biased estimates of productivity and returns-to-scale and may understate inefficiency.The book offers a useful reference for those interested in the newest robust methods of business analytics in the area of productivity and efficiency, with implications for strategy, budgeting, resourcing and benchmarking of firms, industries and production units more generally.

Efficiency and Productivity Growth

by Fotios Pasiouras

An authoritative introduction to efficiency and productivity analysis with applications in both the banking and finance industryIn light of the recent global financial crisis, several studies have examined the efficiency of financial institutions. A number of open questions remain and this book reviews recent issues and state-of-the-art techniques in the assessment of the efficiency and productivity of financial institutions. Written by an international team of experts, the first part of the book links efficiency with a variety of topics like Latin American banking, market discipline and governance, economics of scale, off-balance-sheet activities, productivity of foreign banks, mergers and acquisitions, and mutual fund ratings. The second part of the book compares existing techniques and state-of-the-art techniques in the bank efficiency literature, including among others, network data envelopment analysis and quantile regression.The book is suitable for academics and professionals as well as postgraduate research students working in banking and finance.Efficiency and Productivity Growth: Provides an authoritative introduction to efficiency and productivity analysis with applications in both the banking and mutual funds industry such as efficiency of Asian banks, cooperatives and not-for-profit credit associations.Explores contemporary research issues in the area of efficiency and productivity measurement in the financial sector.Evaluates the most suitable approaches to selecting inputs and outputs as well as selecting the most efficient techniques, such as parametric and non-parametric, to estimate the models.

Efficiency in Complex Systems: Self-Organization Towards Increased Efficiency (Springer Proceedings in Complexity)

by Georgi Yordanov Georgiev Mahmoud Shokrollahi-Far

This book uses new ideas and language for understanding how self-organization and complexity trend toward increased efficiency. Different measures for efficiency from multiple disciplines are used to probe the ones that provide the most insight. One major goal is to seek a common framework to trace the increase of efficiency as a measure of the level of organization and evolutionary stage of a complex system. The chapters come from a satellite meeting hosted at the Conference on Complex Systems, in Cancun, 2017. The contributions will be peer-reviewed and contributors from outside the conference will be invited to submit chapters to ensure full coverage of the topics. This text will appeal to students and researchers working on complex systems and efficiency.

Efficient Auction Games: Theories, Algorithms and Applications in Smart Grids & Electric Vehicle Charging

by Zhongjing Ma Suli Zou

This book focuses on the design of efficient & dynamic methods to allocate divisible resources under various auction mechanisms, discussing their applications in power & microgrid systems and the V2G & EV charging coordination problems in smart grids. It describes the design of dynamic methods for single-sided and double-sided auction games and presents a number of simulation cases verifying the performances of the proposed algorithms in terms of efficiency, convergence and computational complexity. Further, it explores the performances of certain auction mechanisms in a hierarchical structure and with large-scale agents, as well as the auction mechanisms for the efficient allocation of multi-type resources. Lastly, it generalizes the main and demonstrates their application in smart grids. This book is a valuable resource for researchers, engineers, and graduate students in the fields of optimization, game theory, auction mechanisms and smart grids interested in designing dynamic auction mechanisms to implement optimal allocation of divisible resources, especially electricity and other types of energy in smart grids.

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