The Resource Applied Multivariate Statistics with R, by Daniel Zelterman, (electronic resource)

Applied Multivariate Statistics with R, by Daniel Zelterman, (electronic resource)

Label
Applied Multivariate Statistics with R
Title
Applied Multivariate Statistics with R
Statement of responsibility
by Daniel Zelterman
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
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.
Member of
http://library.link/vocab/creatorName
Zelterman, Daniel
Image bit depth
0
LC call number
QA276-280
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
SpringerLink
Series statement
Statistics for Biology and Health,
http://library.link/vocab/subjectName
  • Statistics
  • Epidemiology
  • Bioinformatics
  • Biological models
  • Statistical methods
  • Statistics
  • Statistics for Life Sciences, Medicine, Health Sciences
  • Biostatistics
  • Epidemiology
  • Bioinformatics
  • Systems Biology
Label
Applied Multivariate Statistics with R, by Daniel Zelterman, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
XVI, 393 p. 121 illus., 108 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783319140933
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-14093-3
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-14093-3
Label
Applied Multivariate Statistics with R, by Daniel Zelterman, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
XVI, 393 p. 121 illus., 108 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783319140933
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-14093-3
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-14093-3

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