Numerical Issues in Inference for Finite Mixtures of Weibull Distributions Under Progressive Censoring

Numerical Issues in Inference for Finite Mixtures of Weibull Distributions Under Progressive Censoring
Author :
Publisher :
Total Pages : 374
Release :
ISBN-10 : OCLC:33086667
ISBN-13 :
Rating : 4/5 (67 Downloads)

Book Synopsis Numerical Issues in Inference for Finite Mixtures of Weibull Distributions Under Progressive Censoring by : Jay Mandelbaum

Download or read book Numerical Issues in Inference for Finite Mixtures of Weibull Distributions Under Progressive Censoring written by Jay Mandelbaum and published by . This book was released on 1982 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Numerical Issues in Inference for Finite Mixtures of Weibull Distributions Under Progressive Censoring Related Books

Numerical Issues in Inference for Finite Mixtures of Weibull Distributions Under Progressive Censoring
Language: en
Pages: 374
Progressive Censoring
Language: en
Pages: 268
Authors: N. Balakrishnan
Categories: Mathematics
Type: BOOK - Published: 2000-06-16 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This new book offers a guide to the theory and methods of progressive censoring. In many industrial experiments involving lifetimes of machines or units, experi
The Art of Progressive Censoring
Language: en
Pages: 652
Authors: N. Balakrishnan
Categories: Mathematics
Type: BOOK - Published: 2014-07-24 - Publisher: Springer

DOWNLOAD EBOOK

This book offers a thorough and updated guide to the theory and methods of progressive censoring, an area that has experienced tremendous growth over the last d
A note on mixed exponential approximations for gi/g/1 waiting times
Language: en
Pages: 36
Authors: Carl M. Harris
Categories:
Type: BOOK - Published: 1984 - Publisher:

DOWNLOAD EBOOK

A method is offered for the effective estimation of the stationary waiting-time distribution of the GI/G/1 queue by a (possibly nonconvex) mixed exponential CDF
Likelihood estimation for generalized mixed exponential distributions
Language: en
Pages: 60
Authors: Carl M. Harris
Categories:
Type: BOOK - Published: 1984 - Publisher:

DOWNLOAD EBOOK

The class of probability functions expressed as linear (not necessarily convex) combinations of negative exponential densities is dense in the set of all distri