Handbook of Regression Analysis With Applications in R
Автор:
[b]H[/b][b]andbook and reference guide for students and practitioners of statistical regression-based analyses in R[/b]
[i]Handbook of Regression Analysis [/i][i]with Applications in R, Second Edition [/i]is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical programming language. The authors’ thorough treatment of “classical” regression analysis in the first edition is complemented here by their discussion of more advanced topics including time-to-event survival data and longitudinal and clustered data.
The book further pays particular attention to methods that have become prominent in the last few decades as increasingly large d…
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