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Can I read Elements of Distribution Theory (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 17) on EtoBox?

Elements of Distribution Theory (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 17) by Severini T.A., et al. (eds.) is a nonfiction available to read on EtoBox.

What is Elements of Distribution Theory (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 17) about?

PrefaceDistribution theory lies at the interface of probability and statistics. It is closely relatedto probability theory; however, it differs in its focus on the calculation and approximationof probability distributions and associated quantities such as moments and cumulants.Although distribution theory plays a central role in the development of statistical methodology,distribution theory itself does not deal with issues of statistical inference.Many standard texts on mathematical statistics and statistical inference contain either afew chapters or an appendix on basic distribution theory. I have found that such treatmentsare generally too brief, often ignoring such important concepts as characteristic functionsor cumulants. On the other hand, the discussion in books on probability theory is often tooabstract for readers whose primary interest is in statistical methodology.The purpose of this book is to provide a detailed introduction to the central results ofdistribution theory, in particular, those results needed to understand statistical methodology,without requiring an extensive background in mathematics. Chapters 1 to 4 cover basic topicssuch as random variables, distributio

Who reads Elements of Distribution Theory (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 17)?

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

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

Author
Severini T.A., et al. (eds.)
Publisher
CAMBRIDGE UNIV PRESS; Cambridge University Press
Published
2005
Language
EN
ISBN
9780521844727
Category
nonfiction
Subjects
Mathematics, Stem
Updated
2026-03-24

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