ABSTRACT

A milestone in the published literature on the subject, this first-ever Handbook of Beta Distribution and Its Applications clearly enumerates the properties of beta distributions and related mathematical notions. It summarizes modern applications in a variety of fields, reviews up-and-coming progress from the front lines of statistical research and

chapter |6 pages

A. Integral Representations

part |1 pages

B. Series Representations

chapter |35 pages

D. Special Cases

chapter IX|57 pages

Relationships

chapter III|24 pages

Type I Noncentral Beta Distribution

chapter XIX|4 pages

Binomial Mixtures

part XXI|2 pages

Complementary Beta Distribution

chapter XXIV|13 pages

Tukey Lambda Distributions

chapter |16 pages

B. Alternating Renewal Processes

chapter |18 pages

E. Continuous Time Random Walks

chapter III|35 pages

Applications

part |2 pages

D. Neerchal and Morel (1998)

chapter VII|26 pages

I. Generalized Beta Conditionals

chapter |20 pages

Illustration 1.9.

part |2 pages

Ill ustration III.5.

chapter |11 pages

Illustration III.7,

chapter |5 pages

References

chapter II|8 pages

The Bayesian Paradigm

chapter |12 pages

D. The Reference Prior

chapter |22 pages

B. The Beta-Geometric Distribution

chapter |56 pages

References

chapter |11 pages

References

chapter IV|8 pages

95% Confidence Interval