
Sách Applied Multivariate Statistics with R (Sách keo gáy, bìa mềm)
Thể loại:Biology and other natural sciences - Biostatistics
Năm:2015
In lần thứ:1
Ngôn ngữ:english
Trang:401
This book brings the power of multivariate
statistics to graduate-level practitioners, making these analytical
methods accessible without lengthy mathematical derivations. Using the
open source, shareware program R, Professor Zelterman demonstrates the
process and outcomes for a wide array of multivariate statistical
applications.
Chapters cover graphical displays, linear algebra,
univariate, bivariate and multivariate normal distributions, factor
methods, linear regression, discrimination and classification,
clustering, time series models, and additional methods. Zelterman uses
practical examples from diverse disciplines to welcome readers from a
variety of academic specialties. Those with backgrounds in statistics
will learn new methods while they review more familiar topics. Chapters
include exercises, real data sets, and R implementations.
The data
are interesting, real-world topics, particularly from health and
biology-related contexts. As an example of the approach, the text
examines a sample from the Behavior Risk Factor Surveillance System,
discussing both the shortcomings of the data as well as useful analyses.
The text avoids theoretical derivations beyond those needed to fully
appreciate the methods. Prior experience with R is not necessary.