Using multivariate statistics / Barbara G. Tabachnick, Linda S. Fidel.
Material type:
TextPublication details: New Delhi Pearson 2018Edition: 6th edDescription: 1058 ill. ; 24 cmISBN: - 9789352861750
- 519.5/35 B2324 U 102520
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Ubhayabharati Management | Non-fiction | 519.5/35 B2324 U 102520 (Browse shelf(Opens below)) | Available | 102520 |
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| 420.9 Ot88 G 102435 Growth and Structure of the English Language | 428.24 D353 C 102547 Common Mistakes at Advanced-- and how to avoid them / | 519.2 103523 K642 P 103523 Probability and Statistics with Reliability, Queuing, and Computer Science Applications | 519.5/35 B2324 U 102520 Using multivariate statistics / | 519.5 B2798 Q 102412 Quantitative Analysis for Management / | 519.5 D2805 B 102529 Business Statistics : | 519.5 M5891 Q 102516 Quantitative Methods for Decision Makers / |
Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. This text’s practical approach focuses on the benefits and limitations of applications of a technique to a data set – when, why and how to do it. Up on completing this book, readers should be able to:
Learn to conduct numerous types of multivariate statistical analyses
Find the best technique to use
Understand Limitations to applications
Learn how to use SPSS and SAS syntax and output
Features
Provides hands on guidelines for conducting numerous types of multivariate statistical analyses
Maintains a practical approach, still focusing on the benefits and limitations of applications of a technique to a data set — when, why and how to do it
Presents a comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.
Chapter 1 Introduction
Chapter 2 A Guide to Statistical Techniques: Using the Book
Chapter 3 Review of Univariate and Bivariate Statistics
Chapter 4 Cleaning Up Your Act - Screening Data Prior to Analysis
Chapter 5 Multiple Regression
Chapter 6 Analysis of Covariance
Chapter 7 Multivariate Analysis of Variance and Covariance
Chapter 8 Profile Analysis: The Multivariate Approach to Repeated Measures
Chapter 9 Discriminant Analysis
Chapter 10 Logistic Regression
Chapter 11 Survival/Failure Analysis
Chapter 12 Canonical Correlation
Chapter 13 Principal Components and Factor Analysis
Chapter 14 Structural Equation Modelling
Chapter 15 Multilevel Linear Modelling
Chapter 16 Multiway Frequency Analysis
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