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Most popular at the top

  • Practical Guide to Logistic Regressionby Joseph M. Hilbe

    CRC Press 2015; US$ 49.95

    Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research, business analytics and data science, ecology, fisheries,... more...

  • Negative Binomial Regressionby Joseph M. Hilbe

    Cambridge University Press 2011; US$ 80.00

    A substantial enhancement of the only text devoted entirely to the negative binomial model and its many variations. more...

  • Logistic Regression Modelsby Joseph M. Hilbe

    CRC Press 2009; US$ 94.95

    This book really does cover everything you ever wanted to know about logistic regression ? with updates available on the author?s website. Hilbe, a former national athletics champion, philosopher, and expert in astronomy, is a master at explaining statistical concepts and methods. Readers familiar with his other expository work will know what to expect?great... more...

  • Modeling Count Databy Joseph M. Hilbe

    Cambridge University Press 2014; US$ 30.00

    Provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. more...

  • R for Stata Usersby Robert A. Muenchen; Joseph M. Hilbe

    Springer New York 2010; US$ 169.00

    Stata and R are two very flexible data analysis packages. This book details how to extend the power of Stata through the use of R. It steps through more than thirty packages written in both languages, comparing and contrasting their different approaches. more...

  • Quasi-Least Squares Regressionby Justine Shults; Joseph M. Hilbe

    CRC Press 2014; US$ 89.95

    Drawing on the authors? substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression?a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present... more...

  • Methods of Statistical Model Estimationby Joseph M. Hilbe; Andrew P. Robinson

    CRC Press 2013; US$ 94.95

    Programming and R Introduction R Specifics Programming Making R Packages Further Reading Statistics and Likelihood-Based Estimation Introduction Statistical Models Maximum Likelihood Estimation Interval Estimates Simulation for Fun and Profit Ordinary Regression Introduction Least-Squares Regression Maximum-Likelihood Regression... more...

  • Generalized Estimating Equations, Second Editionby James W. Hardin; Joseph M. Hilbe

    CRC Press 2012; US$ 97.95

    Introduction Notational Conventions and Acronyms A Short Review of Generalized Linear Models Software Exercises Model Construction and Estimating Equations Independent Data Estimating the Variance of the Estimates Panel Data Estimation Summary Exercises R code for Selected Output Generalized Estimating Equations Population-Averaged... more...

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