Semiparametric Regression with R is popular PDF and ePub book, written by Jaroslaw Harezlak in 2018-12-12, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Semiparametric Regression with R can be Read Online from any device for your convenience.
Semiparametric Regression with R Book PDF Summary
This easy-to-follow applied book on semiparametric regression methods using R is intended to close the gap between the available methodology and its use in practice. Semiparametric regression has a large literature but much of it is geared towards data analysts who have advanced knowledge of statistical methods. While R now has a great deal of semiparametric regression functionality, many of these developments have not trickled down to rank-and-file statistical analysts. The authors assemble a broad range of semiparametric regression R analyses and put them in a form that is useful for applied researchers. There are chapters devoted to penalized spines, generalized additive models, grouped data, bivariate extensions of penalized spines, and spatial semi-parametric regression models. Where feasible, the R code is provided in the text, however the book is also accompanied by an external website complete with datasets and R code. Because of its flexibility, semiparametric regression has proven to be of great value with many applications in fields as diverse as astronomy, biology, medicine, economics, and finance. This book is intended for applied statistical analysts who have some familiarity with R.
Detail Book of Semiparametric Regression with R PDF
- Author : Jaroslaw Harezlak
- Release : 12 December 2018
- Publisher : Springer
- ISBN : 9781493988532
- Genre : Mathematics
- Total Page : 331 pages
- Language : English
- PDF File Size : 15,9 Mb
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