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Can I read Expository Moments for Pseudo Distributions (Behaviormetrics: Quantitative Approaches to Human Behavior, 2) on EtoBox?

Expository Moments for Pseudo Distributions (Behaviormetrics: Quantitative Approaches to Human Behavior, 2) by Haruhiko Ogasawara is a nonfiction available to read on EtoBox.

What is Expository Moments for Pseudo Distributions (Behaviormetrics: Quantitative Approaches to Human Behavior, 2) about?

This book provides expository derivations for moments of a family of pseudo distributions, which is an extended family of distributions including the pseudo normal (PN) distributions recently proposed by the author. The PN includes the skew normal (SN) derived by A. Azzalini and the closed skew normal (CSN) obtained by A. Domínguez-Molina, G. González-Farías, and A. K. Gupta as special cases. It is known that the CSN includes the SN and other various distributions as special cases, which shows that the PN has a wider variety of distributions. The SN and CSN have symmetric and skewed asymmetric distributions. However, symmetric distributions are restricted to normal ones. On the other hand, symmetric distributions in the PN can be non-normal as well as normal. In this book, for the non-normal symmetric distributions, the term “kurtic normal (KN)” is used, where the coined word “kurtic” indicates “mesokurtic, leptokurtic, or platykurtic” used in statistics. The variety of the PN was made possible using stripe (tigerish) and sectional truncation in univariate and multivariate distributions, respectively. The proofs of the moments and associated results are not omitted and are often gi

Who reads Expository Moments for Pseudo Distributions (Behaviormetrics: Quantitative Approaches to Human Behavior, 2)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Haruhiko Ogasawara
Publisher
Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd
Published
2023
Language
EN
ISBN
9789811935251
Category
nonfiction
Subjects
Mathematics, Stem

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