Using multivariate statistics
Publication details: New Delhi Pearson India Education Services Pvt. Ltd. 2020 Edition: 7thDescription: xiv, 832 pISBN: 9789389342239Subject(s): Multivariate analysis | StatisticsDDC classification: 519.535 Summary: Using Multivariate Statistics, 7th Edition presents complex statistical procedures in a way that is maximally useful and accessible to researchers who may not be statisticians. The authors' practical approach focuses on the benefits and limitations of applying a technique to a data set — when, why, and how to do it. Only a limited knowledge of higher-level mathematics is assumed. Students using this text will learn to conduct numerous types of multivariate statistical analyses find the best technique to use understand limitations to applications and learn how to use SPSS and SAS syntax and output.| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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Indian Institute of Management LRC General Stacks | Operations Management & Quantitative Techniques | 519.535 TAB (Browse shelf(Opens below)) | 1 | Available | 001464 |
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| 519.535 HAR Applied multivariate statistical analysis | 519.535 KLI Principles and practice of structural equation modeling | 519.535 KOP Applied spatial statistics and econometrics: | 519.535 TAB Using multivariate statistics | 519.5354 PAG Multiple factor analysis by example using R | 519.536 ALL Fixed effects regression models | 519.536 BOL Regression analysis in R: a comprehensive view for the social sciences |
Table of Content
"1. Introduction
2. A Guide to Statistical Techniques: Using the Book
3. Review of Univariate and Bivariate Statistics
4. Cleaning Up Your Act: Screening Data Prior to Analysis
5. Multiple Regression
6. Analysis of Covariance
7. Multivariate Analysis of Variance and Covariance
8. Profile Analysis: The Multivariate Approach to Repeated Measures
9. Discriminant Analysis
10. Logistic Regression
11. Survival/Failure Analysis
12. Canonical Correlation
13. Principal Components and Factor Analysis
14. Structural Equation Modeling by Jodie B. Ullman
15. Multilevel Linear Modeling
16. Multiway Frequency Analysis
17. Time-Series Analysis
18. An Overview of the General Linear Model"
Using Multivariate Statistics, 7th Edition presents complex statistical procedures in a way that is maximally useful and accessible to researchers who may not be statisticians. The authors' practical approach focuses on the benefits and limitations of applying a technique to a data set — when, why, and how to do it. Only a limited knowledge of higher-level mathematics is assumed. Students using this text will learn to conduct numerous types of multivariate statistical analyses find the best technique to use understand limitations to applications and learn how to use SPSS and SAS syntax and output.
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