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Applied Multivariate Statistical Analysis in Medicine
Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: San Diego : Elsevier Science & Technology, 2024Description: 1 Online-Ressource (526 p.)ISBN:- 9780443235887
- 0443235880
- 610.727
- 610.2/1 23/eng/202409010
- RA409
Contents:
PPN: PPN: 190795452XPackage identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB
Front Cover -- Applied Multivariate Statistical Analysis in Medicine -- Applied Multivariate Statistical Analysis in Medicine -- Copyright -- Contents -- Preface -- 1 -- Overview of multivariate statistical analysis -- 1.1 Introduction -- 1.2 Application of multivariate statistical analysis -- 1.3 Structure of multivariate data -- 1.4 Descriptive statistics of multivariate data -- 1.4.1 Sample mean vector -- 1.4.2 Sample covariance matrix -- 1.4.3 Sample correlation matrix -- 1.5 Statistical distance -- 1.6 Statistical software -- 1.7 Problems -- Bibliography
2 -- Multivariate normal distribution -- 2.1 Introduction -- 2.2 Distributions of random vectors -- 2.2.1 Review of distributions of univariate variables -- 2.2.2 Joint distributions -- 2.2.3 Marginal distributions -- 2.2.4 Statistical independence -- 2.2.5 Conditional distributions -- 2.3 Numerical characteristics of random vectors -- 2.3.1 Mean vector and covariance matrix -- 2.3.2 Properties of the mean vector and covariance matrix -- 2.4 Multivariate normal distribution -- 2.4.1 Multivariate normal probability density function
3.3.3 Testing the mean vector in paired design -- 3.3.4 Testing the mean vectors of two independent multivariate normal populations -- 3.4 Multivariate analysis of variance -- 3.4.1 Review of univariate analysis of variance -- 3.4.2 Multivariate analysis of variance for independent group design -- 3.4.3 Multivariate analysis of variance in randomized block design -- 3.5 Testing for the homogeneity of covariance matrices -- 3.6 Data transformation -- 3.7 Summary -- 3.8 Problems -- Bibliography -- 4 -- Multivariate linear regression -- 4.1 Introduction
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