Statistical inference for type I multiply left-censored samples from Weibull distribution

DOI10.1007/s10559-019-00168-xzbMath1433.62290OpenAlexW2965010116MaRDI QIDQ2281355

Yanyan Li

Publication date: 19 December 2019

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10559-019-00168-x

zbMATH Keywords

maximum likelihood estimatorFisher information matrixWeibull distributiontype I censoringmultiply left-censored sample

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Statistical aspects of information-theoretic topics (62B10) Reliability and life testing (62N05)

Uses Software

• fminsearch

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Inferences on Weibull parameters with conventional type-I censoring
• A compromise method in constrained optimization problems
• Analysis of empirical estimates obtained for Gibbs distribution parameters by the maximum likelihood method
• Fisher's information in terms of the hazard rate
• Generalized exponential distribution: Existing results and some recent developments
• On hybrid censored Weibull distribution
• On the comparison of Fisher information of the Weibull and GE distributions
• Parameter estimation of the hybrid censored log-normal distribution
• Analysis of left censored data from the generalized exponential distribution
• Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
• Generalized exponential distributions
• Parameter Estimation for Bivariate Shock Models with Singular Distribution for Censored Data with Concomitant Order Statistics
• On the Fisher Information Matrix in Type II Censored Data from the Exponentiated Exponential Family
• Statistical analysis of type I multiply left-censored samples from exponential distribution
• Multivariate statistical modelling based on generalized linear models.

This page was built for publication: Statistical inference for type I multiply left-censored samples from Weibull distribution