عنوان

Applied Multivariate Statistics with R /

(Number (ISBN

9783319140933

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Applied Multivariate Statistics with R /

First Statement of Responsibility

by Daniel Zelterman.

Edition Statement

1st ed. 2015.

Place of Publication, Distribution, etc.

Cham :

Name of Publisher, Distributor, etc.

Imprint: Springer,

Date of Publication, Distribution, etc.

2015.

Specific Material Designation and Extent of Item

1 online resource (XVI, 393 pages 121 illustrations, 108 illustrations in color.)

Series Title

Statistics for Biology and Health,

ISSN of Series

1431-8776

Text of Note

Introduction -- Elements of R -- Graphical Displays -- Basic Linear Algebra -- The Univariate Normal Distribution -- Bivariate Normal Distribution -- Multivariate Normal Distribution -- Factor Methods -- Multivariate Linear Regression -- Discrimination and Classification -- Clustering -- Time Series Models -- Other Useful Methods -- References -- Appendix -- Selected Solutions -- Index.

0

Text of Note

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.

Entry Element

Bioinformatics.

Entry Element

Biostatistics.

Entry Element

Epidemiology.

Entry Element

Statistics .

Entry Element

Systems biology.

Entry Element

Statistics for Life Sciences, Medicine, Health Sciences.

Number

Edition

Entry Element

Zelterman, Daniel

Date of Transaction

20201125132640.0

Cataloguing Rules (Descriptive Conventions))

rda

BL

270410

Y