A class of regression models for parallel and series systems with a random number of components

DOI10.1080/02331888.2016.1268613zbMath1370.62008arXiv1405.7746OpenAlexW2232436694WikidataQ57496441 ScholiaQ57496441MaRDI QIDQ5280363

Silvia L. P. Ferrari, Alice Lemos Morais

Publication date: 20 July 2017

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1405.7746

zbMATH Keywords

Weibull distributionregression modelquantile inferencesystems with random number of components

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Characterization and structure theory of statistical distributions (62E10) Reliability and life testing (62N05)

Cites Work

• Stochastic comparisons of series and parallel systems with randomized independent components
• A compound class of Weibull and power series distributions
• A new lifetime distribution
• The compound class of extended Weibull power series distributions
• From Finite Sample to Asymptotic Methods in Statistics
• A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families
• Flexible Cure Rate Modeling Under Latent Activation Schemes
• On the limit distribution of the maximum of a random number of independent random variables
• A Class of Random Variables with Discrete Distributions

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