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Zustand: New.

Paperback. Zustand: Brand New. 212 pages. 8.66x5.91x0.48 inches. In Stock.

Zustand: New.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Data from many applied fields exhibit both heavy tail and skewness behavior. For this reason, in the last few decades, there has been a growing interest in exploring parametric classes of asymmetric distributions. A popular approach to model departure from normality consists of modifying a symmetric probability density function introducing skewness. This allows to measuring the disparity of a particular probability density function from a normal one using information measures. In this monograph, these tools are studied to the full symmetric class of multivariate elliptical and skew-elliptical distributions, and related families. Specifically, the Shannon entropy and negentropy, Kullback¿Leibler and Jeffrey¿s divergences, and Jensen¿Shannon distance are developed for these distributions. Finally, the results are applied on several real data sets: a seismological catalogue related to the 2010 Maule earthquake, a optimal design of an ozone monitoring station network, and on biological catalogues of anchovy and swordfish from the coast of Chile.…

Zustand: New.

Buch. Zustand: Neu. Neuware - 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on skew-normal and related distributions, covering both singular and nonsingular cases in a unified way, and contains unpublished results on elliptical distributions from the first author's Ph.D. thesis.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, 150 exercises, and 40 open research problems - Uses color-coded highlights to facilitate learning - Promotes both frequentist statistics and Bayesian analysis.…