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Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple;
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Multiple Comparisons and Multiple Tests Using SAS, provides the supplement you need.Use this workbook and you will find problems and solutions that;
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. Multiple group comparisons with ANOVA are covered together with linear contrasts, again using R for computations.;
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Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniq;...
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Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniq;...
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, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes;
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Quantitative Methods in Archaeology Using R is the first hands-on guide to using the R statistical computing system written specifically;
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This book focuses on multiple comparisons of proportions in multi-sample models with Bernoulli respo;...
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data illustrations using R. The authors' fresh approach, methodical presentation, wealth of examples, use of R, and introduction to topics;
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quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings;
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Teach your students to conduct political research using R, the open source programming language and software environment for statistical;
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Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and;
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Quantitative Methods in Archaeology Using R is the first hands-on guide to using the R statistical computing system written specifically;
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analysis for deeper explanation while an updated suite of R functions makes using R even easier. Students will gain valuable skills learning to;
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Aims to provide in-depth descriptions of the latest developments in multiple comparison methods and ;...
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Aims to provide in-depth descriptions of the latest developments in multiple comparison methods and ;...
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the implementation of the methods using the statistical software packages SAS, SPSS, and R. New to the Second Edition Data;
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wanting to use R in their introductory econometrics courses."" (Jeffrey M. Wooldridge) ""Using R for Introductory Econometrics"" is a fabulous;
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are generally made using two criteria; the expected return and portfolio variance. According to most of the portfolio models derived from the;
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. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation;
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. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical;
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A unique textbook introducing and demonstrating the use of R in psychology. Statistics for Psychology Using R comprehensively covers;
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First published in 1988. Routledge is an imprint of Taylor & Francis, an informa company.;...
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reviews important issues such as defining the statistical population and the sampling plan when using non-random methods for sample selection;
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reviews important issues such as defining the statistical population and the sampling plan when using non-random methods for sample selection;
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Multiple Valued Logic: Concepts and Representations begins with a survey of the use ofmultiple-value;...
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evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/ Simulink (R;
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