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Models for Discrete Longitudinal Data Springer Series in Statistics Geert Molenberghs Geert Verbeke PDF-Viewer GNR

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  • The linear mixed model has become the main parametric tool for the analysis of continuous longitudinal data, as the authors discussed in their 2000 book.


    Without putting too much emphasis on software, the book shows how the different approaches can be implemented within the SAS software package.


    The authors received the American Statistical Association's Excellence in Continuing Education Award based on short courses on longitudinal and incomplete data at the Joint Statistical Meetings of 2002 and 2004.


    ebook,Geert Molenberghs, Geert Verbeke,Models for Discrete Longitudinal Data (Springer Series in Statistics),Springer,Mathematical Analysis,B,Calculus mathematical analysis,Epidemiology medical statistics,Excel; Fitting; Generalized linear model; Likelihood; SAS; best fit; correlation; statistics,Excel;Fitting;Generalized linear model;Likelihood;SAS;best fit;correlation;statistics,Longitudinaal onderzoek.,Longitudinal method,Longitudinal method.,MATHEMATICS / Mathematical Analysis,MATHEMATICS / Probability Statistics / General,MEDICAL / Biostatistics,Mathematical Analysis,Mathematics,Mathematics science,Mathematics and Statistics,Mathematik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik,Multivariate analysis,Multivariate analysis.,Non-Fiction,Probabilities,Probability Statistics - General,Probability statistics,Probability Theory and Stochastic Processes,Scholarly/Graduate,Science/Math,Science/Mathematics,Statistical Theory and Methods,Statistics,Statistics for Life Sciences, Medicine, Health Sciences,Stochastics,TEXT,United States,gtt,MATHEMATICS / Mathematical Analysis,MATHEMATICS / Probability Statistics / General,MEDICAL / Biostatistics,Probability Statistics - General,gtt,Science/Mathematics,Calculus mathematical analysis,Mathematics science,Probability statistics,Mathematik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

    Models for Discrete Longitudinal Data Springer Series in Statistics Geert Molenberghs Geert Verbeke Reviews :



    The linear mixed model has become the main parametric tool for the analysis of continuous longitudinal data, as the authors discussed in their 2000 book.


    Without putting too much emphasis on software, the book shows how the different approaches can be implemented within the SAS software package.


    The authors received the American Statistical Association's Excellence in Continuing Education Award based on short courses on longitudinal and incomplete data at the Joint Statistical Meetings of 2002 and 2004.

    ebook,Geert Molenberghs, Geert Verbeke,Models for Discrete Longitudinal Data (Springer Series in Statistics),Springer,Mathematical Analysis,B,Calculus mathematical analysis,Epidemiology medical statistics,Excel; Fitting; Generalized linear model; Likelihood; SAS; best fit; correlation; statistics,Excel;Fitting;Generalized linear model;Likelihood;SAS;best fit;correlation;statistics,Longitudinaal onderzoek.,Longitudinal method,Longitudinal method.,MATHEMATICS / Mathematical Analysis,MATHEMATICS / Probability Statistics / General,MEDICAL / Biostatistics,Mathematical Analysis,Mathematics,Mathematics science,Mathematics and Statistics,Mathematik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik,Multivariate analysis,Multivariate analysis.,Non-Fiction,Probabilities,Probability Statistics - General,Probability statistics,Probability Theory and Stochastic Processes,Scholarly/Graduate,Science/Math,Science/Mathematics,Statistical Theory and Methods,Statistics,Statistics for Life Sciences, Medicine, Health Sciences,Stochastics,TEXT,United States,gtt,MATHEMATICS / Mathematical Analysis,MATHEMATICS / Probability Statistics / General,MEDICAL / Biostatistics,Probability Statistics - General,gtt,Science/Mathematics,Calculus mathematical analysis,Mathematics science,Probability statistics,Mathematik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

    Models for Discrete Longitudinal Data (Springer Series in Statistics) - edition by Geert Molenberghs, Geert Verbeke. Download it once and read it on your device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Models for Discrete Longitudinal Data (Springer Series in Statistics).


     

    Product details

    • File Size 12698 KB
    • Print Length 687 pages
    • Publisher Springer (January 28, 2006)
    • Publication Date January 28, 2006
    • Sold by  Services LLC
    • Language English
    • ASIN B00FPZ08NE
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