Multivariate Statistics Beyond Normality

Name: Multivariate Statistics Beyond Normality
Price: 141.75 AUD
Availability: PreOrder

By: Marc G. Genton, Reinaldo B. Arellano-Valle

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Hardcover | 11 September 2026 | Edition Number 1

At a Glance

Format
Hardcover

Dimensions(cm)
25.4 x 17.8

Hardcover

RRP $158.00

$141.75

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Available: 11th September 2026

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Multivariate Statistics Beyond Normality is a unique book that provides a modern and original introduction to multivariate statistics and then extends it beyond the multivariate normal distribution. Specifically, the extensions include spherical and elliptical distributions, the skew-normal distributions and related distributions, a detailed treatment of unified skew-elliptical distributions and their sub-models, a study of weighted and selection multivariate distributions, and over 100 illustrative examples. Written by two leading specialists on multivariate statistics, this book includes the most recent and some novel results on skew-normal and related distributions, covering both singular and nonsingular cases in a unified way, and contains unpublished results on elliptical distributions from the first author's Ph.D. thesis. It presents illustrative data applications beyond normality that are relevant to both classical frequentist inference and Bayesian analysis. Designed for a broad readership by starting from basic fundamental concepts and leading to more advanced topics, the book includes 150 exercises, many original, to practice the concepts presented across the chapters, as well as 40 open problems that still need to be further researched.

Key Features

Provides a modern and original introduction to multivariate statistics
Extends classical results beyond normality
Includes over 100 illustrative examples, 100 exercises, and 40 open research problems
Uses color-coded highlights to facilitate learning
Promotes both frequentist statistics and Bayesian analysis

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