This new book offers a guide to the theory and methods of progressive censoring. In many industrial experiments involving lifetimes of machines or units, experiments have to be terminated early. Progressive Censoring first introduces progressive sampling foundations, and then discusses various properties of progressive samples. The book points out the greater efficiency gained by using this scheme instead of classical right-censoring methods.
Progressive Censoring: Theory, Methods, and Applications
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Inside This Book
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First Sentence:
We mentioned earlier in Chapter 1 that marginal distributions of progressively Type-II right censored order statistics (except for the first one, X1:m:n), unlike usual order statistics, are quite complicated and cumbersome and are not easily obtained (Try it - you won't like it!). Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
right censored order statistics, usual order statistics, doubly truncated exponential distribution, optimal censoring schemes, progressive censoring scheme, right censored sample, progressively censored order statistics, right censoring scheme, conditional prediction intervals, simulational algorithm, progressively censored samples, marginal conditional density function, first observed failure, joint conditional density function, power function distribution, progressively censored data, standard extreme value distribution, generalized order statistics, folded distribution, arbitrary continuous distribution, standard exponential distribution, linear inference, censoring pattern, conditional confidence interval, surviving units Key Phrases - Capitalized Phrases (CAPs): (learn more)
Scheme Coefficients, Linear Prediction, General Continuous Distributions, Generalization of Theorem, Alternative Computational Methods, Discussion of Results Tables, Proof Let, Simple Approach Based New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
We mentioned earlier in Chapter 1 that marginal distributions of progressively Type-II right censored order statistics (except for the first one, X1:m:n), unlike usual order statistics, are quite complicated and cumbersome and are not easily obtained (Try it - you won't like it!). Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
right censored order statistics, usual order statistics, doubly truncated exponential distribution, optimal censoring schemes, progressive censoring scheme, right censored sample, progressively censored order statistics, right censoring scheme, conditional prediction intervals, simulational algorithm, progressively censored samples, marginal conditional density function, first observed failure, joint conditional density function, power function distribution, progressively censored data, standard extreme value distribution, generalized order statistics, folded distribution, arbitrary continuous distribution, standard exponential distribution, linear inference, censoring pattern, conditional confidence interval, surviving units Key Phrases - Capitalized Phrases (CAPs): (learn more)
Scheme Coefficients, Linear Prediction, General Continuous Distributions, Generalization of Theorem, Alternative Computational Methods, Discussion of Results Tables, Proof Let, Simple Approach Based New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 18
books:
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cites this book:
- Exponential Distribution: Theory, Methods and Applications by N. Balakrishnan on 11 pages
- Order Statistics (Wiley Series in Probability and Statistics) by Herbert A. David on 6 pages
- A First Course in Order Statistics (Wiley Series in Probability and Statistics) by Barry C. Arnold in Front Matter, and Back Matter
- Lognormal Distributions (Statistics: A Series of Textbooks and Monographs) by Crow in Back Matter
- Statistical Analysis of Reliability and Life-testing Models (Statistics: A Series of Textbooks and Monographs) by Lee Bain in Back Matter
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