✦ LIBER ✦

Some properties and characterizations for generalized multivariate Pareto distributions

✍ Scribed by Hsiaw-Chan Yeh

Publisher: Elsevier Science
Year: 2004
Tongue: English
Weight: 194 KB
Volume: 88
Category: Article
ISSN: 0047-259X
DOI: 10.1016/s0047-259x(03)00061-7

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Some Properties of the Homogeneous Multi

Some Properties of the Homogeneous Multivariate Pareto (IV) Distribution

✍ H.C. Yeh 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 215 KB

Some properties and generalizations of m

Some properties and generalizations of multivariate Eyraud-Gumbel-Morgenstern distributions

✍ Stamatis Cambanis 📂 Article 📅 1977 🏛 Elsevier Science 🌐 English ⚖ 367 KB

Multivariate power series distributions

Multivariate power series distributions and Neyman's properties for multinomials

✍ J.K. Ghosh; Bikas Kumar Sinha; Bimal Kumar Sinha 📂 Article 📅 1977 🏛 Elsevier Science 🌐 English ⚖ 571 KB

A characterization of the multivariate n

A characterization of the multivariate normal distribution and some remarks on linear estimators

✍ Arthur Cohen; Andrew Rukhin; William E. Strawderman 📂 Article 📅 1987 🏛 Elsevier Science 🌐 English ⚖ 315 KB

A generalized geometric distribution and

A generalized geometric distribution and some of its properties

✍ Andreas N Philippou; Costas Georghiou; George N Philippou 📂 Article 📅 1983 🏛 Elsevier Science 🌐 English ⚖ 220 KB

Properties of Prior and Posterior Distri

Properties of Prior and Posterior Distributions for Multivariate Categorical Response Data Models

✍ Ming-Hui Chen; Qi-Man Shao 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 162 KB

In this article, we model multivariate categorical (binary and ordinal) response data using a very rich class of scale mixture of multivariate normal (SMMVN) link functions to accommodate heavy tailed distributions. We consider both noninformative as well as informative prior distributions for SMMVN