Applied Multivariate Statistics with R

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Sprache: Englisch

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Beschreibung

Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. 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. He uses practical examples from diverse disciplines, to welcome readers from a variety of academic specialties. Each chapter includes exercises, real data sets, and R implementations. The book avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary.
New to this edition are chapters devoted to longitudinal studies and theclustering of large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work.

Über den Autor

Daniel Zelterman is professor in the department of biostatistics at Yale University. His research areas include computational statistics, models for discrete valued data, and the design of clinical trials in cancer studies. In his spare time he plays oboe and bassoon in amateur orchestral groups and has backpacked hundreds of miles of the Appalachian Trail.

Zusammenfassung

Offers an applied approach to multivariate statistics

Introduces R and draws upon R for statistical analyses and computing

Contains exercises, full code to carry out practical examples, and selected solutions in an appendix

Inhaltsverzeichnis

Chapter 1. Introduction.- Chapter 2. Elements of R.- Chapter 3. Graphical Displays.- Chapter 4. Basic Linear Algebra.- Chapter 5. The Univariate Normal Distribution.- Chapter 6. Bivariate Normal Distribution.- Chapter 7. Multivariate Normal Distribution.- Chapter 8. Factor Methods.- Chapter 9. Multivariate Linear Regression.- Chapter 10. Discrimination and Classification.- Chapter 11. Clustering Methods.- Chapter 12. Basic Models for Longitudinal Data.- Chapter 13. Time Series Models.- Chapter 14. Other Useful Methods.

Details

Erscheinungsjahr:	2023
Fachbereich:	Wahrscheinlichkeitstheorie
Genre:	Mathematik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Reihe:	Statistics for Biology and Health
Inhalt:	xix 463 S. 14 s/w Illustr. 158 farbige Illustr. 463 p. 172 illus. 158 illus. in color.
ISBN-13:	9783031130045
ISBN-10:	3031130049
Sprache:	Englisch
Ausstattung / Beilage:	HC runder Rücken kaschiert
Einband:	Gebunden
Autor:	Zelterman, Daniel
Auflage:	2nd ed. 2022
Hersteller:	Springer International Publishing Springer International Publishing AG Statistics for Biology and Health
Maße:	241 x 160 x 32 mm
Von/Mit:	Daniel Zelterman
Erscheinungsdatum:	21.01.2023
Gewicht:	0,887 kg

Artikel-ID: 122062822