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Regression Analysis and Multivariate Statistics Books

You are currently browsing 31–40 of 108 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. Handbook of SAS® DATA Step Programming

    By Arthur Li

    To write an accomplished program in the DATA step of SAS®, programmers must understand programming logic and know how to implement and even create their own programming algorithm. Handbook of SAS® DATA Step Programming shows readers how best to manage and manipulate data by using the DATA step....

    Published April 9th 2013 by Chapman and Hall/CRC

  2. Discovering Structural Equation Modeling Using Stata

    By Alan C. Acock

    Discovering Structural Equation Modeling Using Stata is devoted to Stata’s sem command and all it can do. You’ll learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. The book...

    Published March 31st 2013 by Stata Press

  3. Age-Period-Cohort Analysis

    New Models, Methods, and Empirical Applications

    By Yang Yang, Kenneth C. Land

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three...

    Published February 24th 2013 by Chapman and Hall/CRC

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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