| 000 | 01022cam a2200277 a 4500 | ||
|---|---|---|---|
| 999 |
_c35855 _d35855 |
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| 020 | _a9789352861750 | ||
| 082 | 0 | 0 |
_a519.5/35 B2324 U _b102520 |
| 100 | 1 | _aBarbara G Tabachnick | |
| 245 | 1 | 0 |
_aUsing multivariate statistics / _cBarbara G. Tabachnick, Linda S. Fidel. |
| 250 | _a6th ed. | ||
| 260 |
_aNew Delhi _bPearson _c2018 |
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| 300 |
_a1058 _bill. ; _c24 cm. |
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| 500 | _aUsing 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 | ||
| 500 | _aFeatures 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. | ||
| 505 | _aChapter 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 | ||
| 650 | 0 | _aMultivariate analysis. | |
| 700 | 1 | _aFidell, Linda S. | |
| 942 | _cBK | ||