Handbook of Beta Distribution and Its Applications

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advanced mathematical statistics
applied econometrics
Bayesian statistical modeling
Bernoulli Sampling
Beta Binomial Distribution
Beta Conditionals
Beta Distribution
beta distribution applications in biomedicine
Beta Normal Distribution
Category=PBT
Confluent Hypergeometric Function
Cumulative Distribution Functions
Data Sets
Dirichlet Functions
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Exponential Generalized Beta Distributions
Gauss Hypergeometric Function
General Beta Distribution
Hotelling's T2 Test
Hotelling’s T2 Test
Incomplete Beta Function
Incomplete Beta Function Ratio
Laplace Stieltjes Transform
Matrix Variate Distributions
multivariate analysis
Ordinary Renewal Process
Posterior Distribution
Predictive Distribution
probability theory
Renewal Epochs
ST EP
Standard Beta Distribution
stochastic processes
Van Dorp
Vice Versa

Product details

  • ISBN 9780367578329
  • Weight: 453g
  • Dimensions: 152 x 229mm
  • Publication Date: 30 Jun 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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 practice, and demonstrates the applicability of beta distributions in fields such as economics, quality control, soil science, and biomedicine. The book discusses the centrality of beta distributions in Bayesian inference, the beta-binomial model and applications of the beta-binomial distribution, and applications of Dirichlet integrals.
Arjun K. Gupta, Saralees Nadarajah