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Regression Analysis and Multivariate Statistics
Showing 1-10 of 70 results (7 pages in total)
Confidence Intervals for Proportions and Related Measures of Effect Size
- By Robert G. Newcombe.
Published August 2012
Addressed primarily at researchers who have not been trained as statisticians, this book describes how to use appropriate methods to calculate confidence intervals to present research findings. It covers background issues, such as the link between hypothesis tests and confidence intervals and why…
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A Statistical Guide for the Ethically Perplexed
- By Lawrence Hubert, and Howard Wainer.
Published July 2012
Written for researchers and graduate students in statistics and the social and behavioral sciences, this reference provides the formal scaffolding needed to reason ethically about what statisticians see in the course of their careers. It provides readers with a solid basis in statistical and…
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Applied Categorical and Count Data Analysis
- By Wan Tang, Hua He and Xin Tu.
Published June 2012
Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas underlying each concept, model, and approach…
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Maximum Likelihood Estimation for Sample Surveys
- By Raymond L. Chambers, David G. Steel, Suojin Wang and Alan Welsh.
Published May 2012
Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely-used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and…
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Simulating Nature
A Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice, Second Edition
- By Arthur C. Petersen.
Published April 2012
Computer simulation has become an important means for obtaining knowledge about nature. The practice of scientific simulation and the frequent use of uncertain simulation results in public policy raise a wide range of philosophical questions. Most prominently highlighted is the field of…
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Interpreting and Visualizing Regression Models Using Stata
- By Michael N. Mitchell.
Published April 2012
Michael Mitchell's Interpreting and Visualizing Regression Models Using Stata is a clear treatment of how to carefully present results from model-fitting in a wide variety of settings. It is a boon to anyone who has to present the tangible meaning of a complex model in a clear fashion, regardless…
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Event History Analysis with R
- By Göran Broström.
Published April 2012
With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data,…
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Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition
- By Sophia Rabe-Hesketh, and Anders Skrondal.
Published April 2012
This book examines Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" because they allow fixed and random effects, and they are "generalized" because they are appropriate for continuous Gaussian responses as well as binary…
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Multilevel and Longitudinal Modeling Using Stata, Volume I
Continuous Responses, Third Edition
- By Sophia Rabe-Hesketh, and Anders Skrondal.
Published April 2012
Volume I is devoted to continuous Gaussian linear mixed models and has nine chapters. The chapters are organized in four parts. The first part provides a review of the methods of linear regression. The second part provides an in-depth coverage of the two-level models, the simplest extensions of a…
more about Multilevel and Longitudinal Modeling Using Stata, Volume I…
Multilevel and Longitudinal Modeling Using Stata, Volume II
Categorical Responses, Counts, and Survival, Third Edition
- By Sophia Rabe-Hesketh, and Anders Skrondal.
Published April 2012
Volume II is devoted to generalized linear mixed models for binary, categorical, count, and survival outcomes. The second volume has seven chapters also organized in four parts. The first three parts in volume II cover models for categorical responses, including binary, ordinal, and nominal (a new…
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