Practical multivariate analysis / Abdelmonem Afifi, Susanne May, Robin A. Donatello, Virginia A. Clark.
By: Afifi, A. A. (Abdelmonem A.) [author.].
Contributor(s): May, Susanne [author.] | Donatello, Robin A. ...[et al.] [author.].
Publisher: New York : Routledge, 2021Edition: Sixth edition.Description: xv, 418p.ISBN: 9781032088471.Subject(s): Multivariate analysis -- Data processing | Multivariate analysisDDC classification: 519.535| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
Books
|
NASSDOC Library | 519.535 AFI-P (Browse shelf) | Available | 52811 |
Browsing NASSDOC Library Shelves Close shelf browser
| No cover image available |
|
|
|
|
No cover image available |
|
||
| 519.5201 MUR-S Sampling theory and methods | 519.5201 YAT-; Sampling methods for censuses and surveys | 519.53 BOC-; Multivariate stastistical methods in behavioral research | 519.535 AFI-P Practical multivariate analysis / | 519.535 PRE-; Applied multivariate analysis | 519.5354 THU-; Multiple-factor analysis: a development and expansion of the vectors of mind | 519.536 BOL-R Regression analysis in R : |
Includes bibliographical references and index.
What is multivariate analysis? -- Characterizing data for analysis -- Preparing for data analysis -- Data Visualization -- Data screening and transformations -- Selecting appropriate analyses -- Simple regression and correlation -- Multiple regression and correlation -- Variable selection in regression -- Special regression topics -- Discriminant analysis -- Logistic regression -- Regression analysis with survival data -- Principal components analysis -- Factor Analysis -- Cluster analysis -- Log-linear analysis -- Correlated outcomes regression.
This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc. The sixth edition has been updated with a new chapter on data visualization, a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians. Key Features: Provides a comprehensive, practical and accessible introduction to multivariate analysis. Keeps mathematical details to a minimum, so particularly geared toward a non-statistical audience. Includes lots of detailed worked examples, guidance on computing, and exercises. Updated with a new chapter on data visualization.
English.
There are no comments for this item.