
단행본
Multivariate statistical methods : a primer
- 서명/저자사항
- Multivariate statistical methods : a primer
- 판사항
- 4th ed
- 개인저자
- Manly, Bryan F. J | Navarro Alberto, Jorge A. 1963-
- 발행사항
- Boca Raton : CRC Press, Taylor & Francis Group, 2017
- 형태사항
- xv, 253 p. : ill. ; 23 cm.
- ISBN
- 9781138469426 9781498728966
- 주기사항
- "A Chapman & Hall book." Includes bibliographical references and index
소장정보
위치 | 등록번호 | 청구기호 / 출력 | 상태 | 반납예정일 |
---|---|---|---|---|
이용 가능 (1) | ||||
자료실 | WM020946 | 대출가능 | - |
이용 가능 (1)
- 등록번호
- WM020946
- 상태/반납예정일
- 대출가능
- -
- 위치/청구기호(출력)
- 자료실
책 소개
Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used.
The original idea with this book still applies. This was to make it as short as possible and enable readers to begin using multivariate methods in an intelligent manner. With updated information on multivariate analyses, new references, and R code included, this book continues to provide a timely introduction to useful tools for multivariate statistical analysis.
Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details
Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details
목차
The Material of Multivariate Analysis. Matrix Algebra. Displaying Multivariate Data. Tests of Significance with Multivariate Data. Measuring and Testing Multivariate Distances. Principal Components Analysis. Factor Analysis. Discriminant Function Analysis. Cluster Analysis. Canonical Correlation Analysis. Multidimensional Scaling. Ordination. Epilogue.