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Statistical Models in S 9780412830402 J M ~ 50 out of 5 stars Statistical Models in S February 1 2009 Format Hardcover I am in the process of learning R the open source implementation of the S language This book is one of the classics describing the original S language While some small parts of this book are now out of date it remains a great source of information about the
Statistical Models in S Taylor Francis Group ~ Statistical Models in S extends the S language to fit and analyze a variety of statistical models including analysis of variance generalized linear models additive models local regression and treebased models
Statistical Models in S CRC Press Book ~ Statistical Models in S extends the S language to fit and analyze a variety of statistical models including analysis of variance generalized linear models additive models local regression and treebased models
Statistical Models in S ~ Statistical Models in S extends the S language to fit and analyze a variety of statistical models including analysis of variance generalized linear models additive models local regression and treebased models
Statistical Models in S SpringerLink ~ The interactive data analysis and graphics language S Becker Chambers and Wilks 1988 has become a popular environment for both data analysts and research statisticians A common complaint however has concerned the lack of statistical modeling tools such as those provided by GLIM© or GENSTAT©
Statistical Models Cambridge Series in ~ Models and likelihood are the backbone of modern statistics and data analysis The coverage is unrivaled with sections on survival analysis missing data Markov chains Markov random fields point processes graphical models simulation and Markov chain Monte Carlo estimating functions asymptotic approximations local likelihood and spline regressions as well as on more standard topics
Generalized Additive Models Statistical Models in S ~ The algorithm for fitting a gam is exactly analogous to the algorithm for glms The chapter presents the S functions for fitting and understanding generalized additive models In some cases especially for generalized linear or additive models adding residuals to a plot is unhelpful because they can distort the scale dramatically
Statistical Models IBM ~ Statistical Models Statistical models use mathematical equations to encode information extracted from the data In some cases statistical modeling techniques can provide adequate models very quickly
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