Characterization by truncated moments and its application to Pearson-type distributions

DOI10.1007/BF00531527zbMath0523.62016OpenAlexW1572309194WikidataQ60240836 ScholiaQ60240836MaRDI QIDQ3673847

No author found.

Publication date: 1984

Published in: Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00531527

zbMATH Keywords

characterizationPearson systemtruncated momentsgeneralized hypergeometric distributionsIrwin system

Mathematics Subject Classification ID

Characterization and structure theory of statistical distributions (62E10)

Related Items (16)

Characterizations of folded Student's \(t\) distribution ⋮ Some new approaches to multivariate probability distributions ⋮ Characterization of discrete distributions using expected values ⋮ The Gamma–Kumaraswamy distribution: An alternative to Gamma distribution ⋮ Some consequences of a characterization theorem based on truncated moments ⋮ Some inferences on the distribution of the Demmel condition number of complex Wishart matrices ⋮ On Characterization of Continuous Distributions with Adjacent Order Statistics ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Characterizations of the distribution of the Demmel condition number of real Wishart matrices ⋮ Characterization of Generalized Distribution by Doubly Truncated Moment ⋮ A characterization of continuous multivariate distributions by conditional expectations ⋮ Identifying the Pareto and Yule distributions by properties of their reliability measures ⋮ A note on the characterizations of the distributions of the condition numbers of real Gaussian matrices ⋮ On Generalized Gamma Convolution Distributions ⋮ Characterizations of Distributions of Ratios of Certain Independent Random Variables

Cites Work

• Characterizations of probability distributions. A unified approach with an emphasis on exponential and related models
• On the Weak form of Zipf's law
• Some new approaches to probability distributions
• Unnamed Item

This page was built for publication: Characterization by truncated moments and its application to Pearson-type distributions