Home : Book details

Semiparametric Regression with R free ebook download

Category:
Mathematics

Views: 167
Likes: 233

Catalogue

Author(s):	Jaroslaw Harezlak, David Ruppert, Matt P. Wand

Date:	2018-12-13	Format:	pdf	Language:	English	ISBN/ASIN:	1493988514
Pages:	331	OCR:		Quality:		ISBN13:
Uploader:	maveriks	Upload Date:	6/4/2019 5:03:39 PM

To download click on link in the Links Table below

Description: Click to see full description

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.

Links Table

	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2511519	Book	http://nitroflare.com/view/674F7B26C959C...		50.66	maveriks

Tags: Regression Semiparametric

Title	Link	Password	Size	Reason

Those who downloaded this book also downloaded the following books:
Comments

New comment:

Semiparametric Regression with R free ebook download

Category: Mathematics

Description: Click to see full description

Category:
Mathematics