The Foundations Of Statistics A Simulation Based Approach
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The Foundations Of Statistics A Simulation Based Approach
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Author : Shravan Vasishth
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-11
The Foundations Of Statistics A Simulation Based Approach written by Shravan Vasishth and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-11 with Mathematics categories.
Statistics and hypothesis testing are routinely used in areas (such as linguistics) that are traditionally not mathematically intensive. In such fields, when faced with experimental data, many students and researchers tend to rely on commercial packages to carry out statistical data analysis, often without understanding the logic of the statistical tests they rely on. As a consequence, results are often misinterpreted, and users have difficulty in flexibly applying techniques relevant to their own research — they use whatever they happen to have learned. A simple solution is to teach the fundamental ideas of statistical hypothesis testing without using too much mathematics. This book provides a non-mathematical, simulation-based introduction to basic statistical concepts and encourages readers to try out the simulations themselves using the source code and data provided (the freely available programming language R is used throughout). Since the code presented in the text almost always requires the use of previously introduced programming constructs, diligent students also acquire basic programming abilities in R. The book is intended for advanced undergraduate and graduate students in any discipline, although the focus is on linguistics, psychology, and cognitive science. It is designed for self-instruction, but it can also be used as a textbook for a first course on statistics. Earlier versions of the book have been used in undergraduate and graduate courses in Europe and the US. ”Vasishth and Broe have written an attractive introduction to the foundations of statistics. It is concise, surprisingly comprehensive, self-contained and yet quite accessible. Highly recommended.” Harald Baayen, Professor of Linguistics, University of Alberta, Canada ”By using the text students not only learn to do the specific things outlined in the book, they also gain a skill set that empowers them to explore new areas that lie beyond the book’s coverage.” Colin Phillips, Professor of Linguistics, University of Maryland, USA
Statistics By Simulation
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Author : Carsten F. Dormann
language : en
Publisher: Princeton University Press
Release Date : 2025-06-03
Statistics By Simulation written by Carsten F. Dormann and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-03 with Computers categories.
An accessible guide to understanding statistics using simulations, with examples from a range of scientific disciplines Real-world challenges such as small sample sizes, skewed distributions of data, biased sampling designs, and more predictors than data points are pushing the limits of classical statistical analysis. This textbook provides a new tool for the statistical toolkit: data simulations. It shows that using simulation and data-generating models is an excellent way to validate statistical reasoning and to augment study design and statistical analysis with planning and visualization. Although data simulations are not new to professional statisticians, Statistics by Simulation makes the approach accessible to a broader audience, with examples from many fields. It introduces the reasoning behind data simulation and then shows how to apply it in planning experiments or observational studies, developing analytical workflows, deploying model diagnostics, and developing new indices and statistical methods. • Covers all steps of statistical practice, from planning projects to post-hoc analysis and model checking • Provides examples from disciplines including sociology, psychology, ecology, economics, physics, and medicine • Includes R code for all examples, with data and code freely available online • Offers bullet-point outlines and summaries of each chapter • Minimizes the use of jargon and requires only basic statistical background and skills
Regression Modeling For Linguistic Data
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Author : Morgan Sonderegger
language : en
Publisher: MIT Press
Release Date : 2023-06-06
Regression Modeling For Linguistic Data written by Morgan Sonderegger and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-06 with Science categories.
The first comprehensive textbook on regression modeling for linguistic data offers an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. In the first comprehensive textbook on regression modeling for linguistic data in a frequentist framework, Morgan Sonderegger provides graduate students and researchers with an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. The book features extensive treatment of mixed-effects regression models, the most widely used statistical method for analyzing linguistic data. Sonderegger begins with preliminaries to regression modeling: assumptions, inferential statistics, hypothesis testing, power, and other errors. He then covers regression models for non-clustered data: linear regression, model selection and validation, logistic regression, and applied topics such as contrast coding and nonlinear effects. The last three chapters discuss regression models for clustered data: linear and logistic mixed-effects models as well as model predictions, convergence, and model selection. The book’s focused scope and practical emphasis will equip readers to implement these methods and understand how they are used in current work. The only advanced discussion of modeling for linguists Uses R throughout, in practical examples using real datasets Extensive treatment of mixed-effects regression models Contains detailed, clear guidance on reporting models Equal emphasis on observational data and data from controlled experiments Suitable for graduate students and researchers with computational interests across linguistics and cognitive science
Improving And Extending Quantitative Reasoning In Second Language Research
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Author : John M. Norris
language : en
Publisher: John Wiley & Sons
Release Date : 2015-06-08
Improving And Extending Quantitative Reasoning In Second Language Research written by John M. Norris and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-08 with Education categories.
Currents in Language Learning is a biennial book series published by Wiley and the Language Learning Research Club at the University of Michigan. It provides programmatic state-of-the-art overviews of current issues in the language sciences and their applications in first, second, and bi/multilingual language acquisition in naturalistic and tutored contexts. It brings together disciplinary perspectives from linguistics, psychology, education, anthropology, sociology, cognitive science, and neuroscience.
Statistical Foundations Reasoning And Inference
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Author : Göran Kauermann
language : en
Publisher: Springer Nature
Release Date : 2021-09-30
Statistical Foundations Reasoning And Inference written by Göran Kauermann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-30 with Mathematics categories.
This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material for a two-semester course and is intended for master’s students in data science, statistics and computer science with a rudimentary grasp of probability theory. It will also be useful for data science practitioners who want to strengthen their statistics skills.
The Oxford Handbook Of Quantitative Methods Volume 1 Foundations
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Author : Todd D. Little
language : en
Publisher: Oxford University Press
Release Date : 2013-01-15
The Oxford Handbook Of Quantitative Methods Volume 1 Foundations written by Todd D. Little and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-15 with Psychology categories.
Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to deliver the most valid and generalizable answers to todays complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences. Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences.
Probabilistic Approaches For Geotechnical Site Characterization And Slope Stability Analysis
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Author : Zijun Cao
language : en
Publisher: Springer
Release Date : 2016-08-06
Probabilistic Approaches For Geotechnical Site Characterization And Slope Stability Analysis written by Zijun Cao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-06 with Science categories.
This is the first book to revisit geotechnical site characterization from a probabilistic point of view and provide rational tools to probabilistically characterize geotechnical properties and underground stratigraphy using limited information obtained from a specific site. This book not only provides new probabilistic approaches for geotechnical site characterization and slope stability analysis, but also tackles the difficulties in practical implementation of these approaches. In addition, this book also develops efficient Monte Carlo simulation approaches for slope stability analysis and implements these approaches in a commonly available spreadsheet environment. These approaches and the software package are readily available to geotechnical practitioners and alleviate them from reliability computational algorithms. The readers will find useful information for a non-specialist to determine project-specific statistics of geotechnical properties and to perform probabilistic analysis of slope stability.
Doing Research
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Author : Daniel Druckman
language : en
Publisher: SAGE
Release Date : 2005-03-16
Doing Research written by Daniel Druckman and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-03-16 with Political Science categories.
Winner of the 2006 outstanding book award (for books published in 2004-2005) from the International Association for Conflict Management at their annual meeting held in Montreal! An award-winning book, Doing Research is a must read. Designed for students across a variety of social science disciplines, it is the first research methods text devoted to conflict analysis and resolution. It begins with a discussion of the philosophical foundations for doing research, providing guidelines on how to develop research questions and how these questions can be addressed with various methodologies. The book presents a wide-ranging treatment of both quantitative and qualitative approaches to the design and analysis of problems of conflict. The approaches covered include experiments, simulations and models, surveys, single and comparative case studies, ethnographies, content analysis, narrative analysis, evaluation research, action research, and research consulting. These approaches come alive in a variety of applications culled from the published literature. A concluding chapter provides an integration of the various methodologies, including their complementary strengths. Throughout the book, author Daniel Druckman illustrates the value of a multi-method approach to doing research on conflict analysis and more generally across the social sciences. Key Features Guides readers through how to do literature reviews and ask research questions, easing students into the research process Weaves together qualitative and quantitative, as well as deductive and inductive, approaches to analysis, allowing for the widest possible diversity in methodology Includes numerous examples from published articles and dissertations and a discussion of research consulting Doing Research is perfectly suited as a text for research methods courses across the social sciences, especially those dealing with conflict analysis in departments of political science, communication, psychology, sociology, and management. Professional researchers and consultants will also want to add this book to their libraries for guidance on multi-method techniques. "This is an extremely important book for our field because it is the first research methods book that focuses on techniques that are common in this area but transcends disciplines. I am confident that the book will be used widely in our field because it is both practical and engaging." -- William A. Donohoe, Michigan State University "Doing Research is a gem. It provides multiple research methods and models focusing on conflict analysis and resolution that can be used by any student in a variety of social science disciplines or fields of study. I wish this book had been written 20 years ago." —Brian Polkinghorn, Salisbury State University "Doing Research is the most widely acclaimed book on research methods for conflict resolution students to appear in recent years. The book provides a wonderfully rich array of ideas about ways to do research for both the scholar and practitioner--pracademic--enriching the analysis and practice in the conflict resolution field. The author has a diverse intellectual background and his wide-ranging research experience informs the contributions made by this book to conflict analysis and resolution and to related social-science fields." —Sean Byrne, University of Manitoba
The Oxford Handbook Of Quantitative Methods Volume 1
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Author : Todd D. Little
language : en
Publisher: Oxford University Press, USA
Release Date : 2014
The Oxford Handbook Of Quantitative Methods Volume 1 written by Todd D. Little and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Psychology categories.
The Oxford Handbook of Quantitative Methods in Psychology provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for best practices in a quantitative methods across the social, behavioral, and educational sciences.
Encyclopedia Of Quantitative Risk Analysis And Assessment
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Author :
language : en
Publisher: John Wiley & Sons
Release Date : 2008-09-02
Encyclopedia Of Quantitative Risk Analysis And Assessment written by and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-02 with Mathematics categories.
Leading the way in this field, the Encyclopedia of Quantitative Risk Analysis and Assessment is the first publication to offer a modern, comprehensive and in-depth resource to the huge variety of disciplines involved. A truly international work, its coverage ranges across risk issues pertinent to life scientists, engineers, policy makers, healthcare professionals, the finance industry, the military and practising statisticians. Drawing on the expertise of world-renowned authors and editors in this field this title provides up-to-date material on drug safety, investment theory, public policy applications, transportation safety, public perception of risk, epidemiological risk, national defence and security, critical infrastructure, and program management. This major publication is easily accessible for all those involved in the field of risk assessment and analysis. For ease-of-use it is available in print and online.