Download or read book Categorical Data Analysis and Multilevel Modeling Using R written by Xing Liu and published by SAGE Publications. This book was released on 2022-02-24 with total page 745 pages. Available in PDF, EPUB and Kindle. Book excerpt: Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains datasets and R commands used in the book for students, and solutions for the end-of-chapter exercises on the instructor site.
Download or read book Categorical Modelling in Law written by and published by . This book was released on 1991 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Categorical Modelling in Law written by Jørgen Karpf and published by . This book was released on 1991 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extension functors, especially legal maintenance functors, are structure preserving."
Download or read book Regression Models for Categorical and Limited Dependent Variables written by J. Scott Long and published by SAGE. This book was released on 1997-01-09 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evaluates the most useful models for categorical and limited dependent variables (CLDVs), emphasizing the links among models and applying common methods of derivation, interpretation, and testing. The author also explains how models relate to linear regression models whenever possible. Annotation c.
Download or read book Introduction to the Statistical Analysis of Categorical Data written by Erling B. Andersen and published by Springer Science & Business Media. This book was released on 1997-03-20 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: to the Statistical Analysis of Categorical Data With 16 Figures and 121 Tables , Springer Prof. Erling B. Andersen University of Copenhagen Department of Statistics 6 Studiestrrede DK-14SS Copenhagen Denmark ISBN 978-3-540-62399-1 CataJoging-in-Publication Data applied ror Oie Oeutsche Bibliothek - CIP-Einheitsaufnahme Andersen, Erling B. : Introduction to the statistical analysis of categorical data analysis: with 121 tables I Erling B. Andersen. -Berlin; Heidelberg; New York; Bucelona; Buda pest; Hong Kong; London; Milan; Paris; Santa Clara; Singapore; Tokyo: Springer, 1997 ISBN 978-3-540~2399-1 ISBN 978-3~2-59123-5 (eBook) DOI10. 1007/978-3~2-59123-5 This work is subject to copyright. AII rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any o!her way, and storage in data banks. Ouplication of this publication or parts thereof IS permitted only under the provisions of !he German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer-Verlag. Violations are liable for prosecution under !he German Copyright Law. O Springer-Verlag Berlin Heidelberg 1997 Originally published by Springer-Verlag Berlin Heidelberg New York in 1997 The use of general descriptive names, registered names, trademarks, etc. in this publi cation does not imply, even in !he absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and !herefore free for general use.
Download or read book Accessible Categories The Foundations of Categorical Model Theory written by Mihály Makkai and published by American Mathematical Soc.. This book was released on 1989 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended for category theorists and logicians familiar with basic category theory, this book focuses on categorical model theory, which is concerned with the categories of models of infinitary first order theories, called accessible categories. The starting point is a characterization of accessible categories in terms of concepts familiar from Gabriel-Ulmer's theory of locally presentable categories. Most of the work centers on various constructions (such as weighted bilimits and lax colimits), which, when performed on accessible categories, yield new accessible categories. These constructions are necessarily 2-categorical in nature; the authors cover some aspects of 2-category theory, in addition to some basic model theory, and some set theory. One of the main tools used in this study is the theory of mixed sketches, which the authors specialize to give concrete results about model theory. Many examples illustrate the extent of applicability of these concepts. In particular, some applications to topos theory are given. Perhaps the book's most significant contribution is the way it sets model theory in categorical terms, opening the door for further work along these lines. Requiring a basic background in category theory, this book will provide readers with an understanding of model theory in categorical terms, familiarity with 2-categorical methods, and a useful tool for studying toposes and other categories.
Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Download or read book Categorical Modelling in Law written by J. Karpf and published by . This book was released on 1991 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Regression Models for Categorical Count and Related Variables written by John P. Hoffmann and published by Univ of California Press. This book was released on 2016-08-16 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social science and behavioral science students and researchers are often confronted with data that are categorical, count a phenomenon, or have been collected over time. Sociologists examining the likelihood of interracial marriage, political scientists studying voting behavior, criminologists counting the number of offenses people commit, health scientists studying the number of suicides across neighborhoods, and psychologists modeling mental health treatment success are all interested in outcomes that are not continuous. Instead, they must measure and analyze these events and phenomena in a discrete manner. This book provides an introduction and overview of several statistical models designed for these types of outcomes—all presented with the assumption that the reader has only a good working knowledge of elementary algebra and has taken introductory statistics and linear regression analysis. Numerous examples from the social sciences demonstrate the practical applications of these models. The chapters address logistic and probit models, including those designed for ordinal and nominal variables, regular and zero-inflated Poisson and negative binomial models, event history models, models for longitudinal data, multilevel models, and data reduction techniques such as principal components and factor analysis. Each chapter discusses how to utilize the models and test their assumptions with the statistical software Stata, and also includes exercise sets so readers can practice using these techniques. Appendices show how to estimate the models in SAS, SPSS, and R; provide a review of regression assumptions using simulations; and discuss missing data. A companion website includes downloadable versions of all the data sets used in the book.
Download or read book From Practical Reason to Legal Computer Science written by Alberto Artosi and published by . This book was released on 1998 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Marginal Models written by Wicher Bergsma and published by Springer Science & Business Media. This book was released on 2009-04-03 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show. In the social, behavioral, educational, economic, and biomedical sciences, data are often collected in ways that introduce dependencies in the observations to be compared. For example, the same respondents are interviewed at several occasions, several members of networks or groups are interviewed within the same survey, or, within families, both children and parents are investigated. Statistical methods that take the dependencies in the data into account must then be used, e.g., when observations at time one and time two are compared in longitudinal studies. At present, researchers almost automatically turn to multi-level models or to GEE estimation to deal with these dependencies. Despite the enormous potential and applicability of these recent developments, they require restrictive assumptions on the nature of the dependencies in the data. The marginal models of this book provide another way of dealing with these dependencies, without the need for such assumptions, and can be used to answer research questions directly at the intended marginal level. The maximum likelihood method, with its attractive statistical properties, is used for fitting the models. This book has mainly been written with applied researchers in mind. It includes many real world examples, explains the types of research questions for which marginal modeling is useful, and provides a detailed description of how to apply marginal models for a great diversity of research questions. All these examples are presented on the book's website (www.cmm.st), along with user friendly programs.
Download or read book Regression for Categorical Data written by Gerhard Tutz and published by Cambridge University Press. This book was released on 2011-11-21 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces basic and advanced concepts of categorical regression with a focus on the structuring constituents of regression, including regularization techniques to structure predictors. In addition to standard methods such as the logit and probit model and extensions to multivariate settings, the author presents more recent developments in flexible and high-dimensional regression, which allow weakening of assumptions on the structuring of the predictor and yield fits that are closer to the data. A generalized linear model is used as a unifying framework whenever possible in particular parametric models that are treated within this framework. Many topics not normally included in books on categorical data analysis are treated here, such as nonparametric regression; selection of predictors by regularized estimation procedures; ternative models like the hurdle model and zero-inflated regression models for count data; and non-standard tree-based ensemble methods, which provide excellent tools for prediction and the handling of both nominal and ordered categorical predictors. The book is accompanied an R package that contains data sets and code for all the examples.
Download or read book The Supreme Court and the Attitudinal Model Revisited written by Jeffrey A. Segal and published by Cambridge University Press. This book was released on 2002-09-16 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, authored by two leading scholars of the Supreme Court and its policy making, systematically presents and validates the use of the attitudinal model to explain and predict Supreme Court decision making. In the process, it critiques the two major alternative models of Supreme Court decision making and their major variants: the legal and rational choice. Using the US Supreme Court Data Base, the justices' private papers, and other sources of information, the book analyzes the appointment process, certiorari, the decision on the merits, opinion assignments, and the formation of opinion coalitions. The book will be the definitive presentation of the attitudinal model as well as an authoritative critique of the legal and rational choice models. The book thoroughly reflects research done since the 1993 publication of its predecessor, as well as decisions and developments in the Supreme Court, including the momentous decision of Bush v. Gore.
Download or read book Statistical modeling a fresh approach written by Daniel Theodore Kaplan and published by . This book was released on 2011 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Statistical Modeling: A Fresh Approach introduces and illuminates the statistical reasoning used in modern research throughout the natural and social sciences, medicine, government, and commerce. It emphasizes the use of models to untangle and quantify variation in observed data. By a deft and concise use of computing coupled with an innovative geometrical presentation of the relationship among variables. A Fresh Approach reveals the logic of statistical inference and empowers the reader to use and understand techniques such as analysis of covariance that appear widely in published research but are hardly ever found in introductory texts."-- book cover
Download or read book Metaphysics and the Philosophy of Science written by Matthew H. Slater and published by Oxford University Press. This book was released on 2017 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of new essays, written by leading philosophers of science, explores a broadly methodological question: what role should metaphysics play in our philosophizing about science? The essays address this question both through ground-level investigations of particular issues in the metaphysics of science and by more general methodological investigations.
Download or read book Aristotle on Emotions in Law and Politics written by Liesbeth Huppes-Cluysenaer and published by Springer. This book was released on 2018-02-13 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, experts from the fields of law and philosophy explore the works of Aristotle to illuminate the much-debated and fascinating relationship between emotions and justice. Emotions matter in connection with democracy and equity – they are relevant to the judicial enforcement of rights, legal argumentation, and decision-making processes in legislative bodies and courts. The decisive role that emotions, feelings and passions play in these processes cannot be ignored – not even by those who believe that emotions have no legitimate place in the public sphere. A growing body of literature on these topics recognizes the seminal insights contributed by Aristotle. This book offers a comprehensive analysis of his thinking in this context, as well as proposals for inspiring dialogues between his works and those written by a selection of modern and contemporary thinkers. As such, the book offers a valuable resource for students of law, philosophy, rhetoric, politics, ethics and history, but also for readers interested in the ongoing debate about legal positivism and the relevance of emotions for legal and political life in today’s world.
Download or read book Constitutional Law in Context written by Michael Kent Curtis and published by . This book was released on 2006 with total page 1112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constitutional Law in Context (two volumes) puts major constitutional developments into historical perspective by helping students see how doctrinal developments were shaped by historical context and how historical developments affecting one doctrine often influenced other doctrines as well. Obvious examples include changes in commerce clause doctrine, substantive due process, and law related to race and gender. The chapter on incorporation shows how the framers of the amendment were influenced by denials of civil liberties that occurred during the crusade against slavery.The books illustrate the development of constitutional law over time so that changes in the law can be related to changes in society. It reminds students that related changes often occur across a range of doctrinal areas; for example, parallel changes occur in both commerce clause and substantive due process doctrine as a result of changes during the New Deal. Decisions relevant to race discrimination involve not only equal protection, but also the reading of the commerce clause as illustrated by the Supreme Court's Heart of Atlanta decision.The two volumes also contain materials on constitutional decision-making outside of the Supreme Court. These include materials on the Clinton impeachment, examples from free speech history, and state cases interpreting state constitutions. Finally, it is designed to assist students in understanding and formulating constitutional arguments. Authors Curtis, Parker, Douglas, and Finkelman identify and discuss forms of constitutional argument, such as arguments based on text, history, or structure and provide charts and diagrams to assist students in identifying the logical structure of constitutional analysis.
