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Regression Analysis and Multivariate Statistics Books

You are currently browsing 31–40 of 104 new and published books in the subject of Regression Analysis and Multivariate Statistics — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 4

  1. Latent Markov Models for Longitudinal Data

    By Francesco Bartolucci, Alessio Farcomeni, Fulvia Pennoni

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    Drawing on the authors’ extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data focuses on the formulation of latent Markov models and the practical use of these models. Numerous examples illustrate how latent Markov models are used in...

    Published October 28th 2012 by Chapman and Hall/CRC

  2. A Statistical Guide for the Ethically Perplexed

    By Lawrence Hubert, Howard Wainer

    For disciplines concerned with human well-being, such as medicine, psychology, and law, statistics must be used in accordance with standards for ethical practice. A Statistical Guide for the Ethically Perplexed illustrates the proper use of probabilistic and statistical reasoning in the behavioral,...

    Published September 24th 2012 by Chapman and Hall/CRC

  3. Confidence Intervals for Proportions and Related Measures of Effect Size

    By Robert G. Newcombe

    Series: Chapman & Hall/CRC Biostatistics Series

    Confidence Intervals for Proportions and Related Measures of Effect Size illustrates the use of effect size measures and corresponding confidence intervals as more informative alternatives to the most basic and widely used significance tests. The book provides you with a deep understanding of what...

    Published August 24th 2012 by CRC Press

  4. The A-Z of Error-Free Research

    By Phillip I. Good

    A Practical Guide with Step-by-Step Explanations, Numerous Worked Examples, and R CodeThe A–Z of Error-Free Research describes the design, analysis, modeling, and reporting of experiments, clinical trials, and surveys. The book shows you when to use statistics, the best ways to cope with variation,...

    Published July 31st 2012 by Chapman and Hall/CRC

  5. Applied Categorical and Count Data Analysis

    By Wan Tang, Hua He, Xin M. Tu

    Series: Chapman & Hall/CRC Texts in Statistical Science

    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...

    Published June 3rd 2012 by Chapman and Hall/CRC

  6. Maximum Likelihood Estimation for Sample Surveys

    By Raymond L. Chambers, David G. Steel, Suojin Wang, Alan Welsh

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    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...

    Published May 1st 2012 by Chapman and Hall/CRC

  7. Simulating Nature

    A Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice, Second Edition

    By Arthur C. Petersen

    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...

    Published April 23rd 2012 by Chapman and Hall/CRC

  8. Interpreting and Visualizing Regression Models Using Stata

    By Michael N. Mitchell

    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...

    Published April 18th 2012 by Stata Press

  9. Event History Analysis with R

    By Göran Broström

    Series: Chapman & Hall/CRC The R Series

    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,...

    Published April 2nd 2012 by CRC Press

  10. Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition

    By Sophia Rabe-Hesketh, Anders Skrondal

    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...

    Published April 1st 2012 by Stata Press