Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/wiley/optimum-life-testing-plans-in-presence-of-hybrid-censoring-a-cost-qhUC7dpP71
References (23)
-
Sangun Park, N. Balakrishnan (2009)
On simple calculation of the Fisher information in hybrid censoring schemesStatistics & Probability Letters, 79
-
K. Fairbanks, R. Madsen, R. Dykstra (1982)
A Confidence Interval for an Exponential Parameter from a Hybrid Life TestJournal of the American Statistical Association, 77
-
N. Ebrahimi (1992)
Prediction intervals for future failures in the exponential distribution under hybrid censoringIEEE Transactions on Reliability, 41
-
Shuming Chen, G. Bhattacharyya (1987)
Exact confidence bounds for an exponential parameter under hybrid censoringCommunications in Statistics-theory and Methods, 16
-
D. Kundu (2008)
Bayesian Inference and Life Testing Plan for the Weibull Distribution in Presence of Progressive CensoringTechnometrics, 50
-
N. Draper, I. Guttman (1987)
Bayesian analysis of hybrid life tests with exponential failure timesAnnals of the Institute of Statistical Mathematics, 39
-
B. Epstein (1954)
Truncated Life Tests in the Exponential CaseAnnals of Mathematical Statistics, 25
-
B Epstein (1960)
Sampling Procedures and Tables for Life and Reliability Testing (Based on exponential distribution), Quality Control and Reliability Handbook (Interim) H 108Technometrics
-
A. Childs, B. Chandrasekar, N. Balakrishnan, D. Kundu (2003)
Exact likelihood inference based on Type-I and Type-II hybrid censored samples from the exponential distributionAnnals of the Institute of Statistical Mathematics, 55
-
Rameshwar Gupta, D. Kundu (1998)
Hybrid censoring schemes with exponential failure distributionCommunications in Statistics-theory and Methods, 27
-
Yao Zhang, W. Meeker (2005)
Bayesian life test planning for the Weibull distribution with given shape parameterMetrika, 61
-
L. Yeh (1994)
Bayesian Variable Sampling Plans for the Exponential Distribution with Type I CensoringAnnals of Statistics, 22
-
Sulabh Dube, B. Pradhan, D. Kundu (2011)
Parameter estimation of the hybrid censored log-normal distributionJournal of Statistical Computation and Simulation, 81
-
D. Kundu (2007)
On hybrid censored Weibull distributionJournal of Statistical Planning and Inference, 137
-
Yu-Pin Lin, T. Liang, Wen-Tao Huang (2002)
Bayesian Sampling Plans for Exponential Distribution Based on Type I Censoring DataAnnals of the Institute of Statistical Mathematics, 54
-
N. Ebrahimi (1986)
Estimating the parameters of an exponential distribution from a hybrid life testJournal of Statistical Planning and Inference, 14
-
N. Ebrahimi (1988)
Determining the sample size for a hybrid life test based on the cost functionNaval Research Logistics, 35
-
H. Ng, P. Chan, N. Balakrishnan (2004)
Optimal Progressive Censoring Plans for the Weibull DistributionTechnometrics, 46
-
B. Blight (1972)
On the Most Economical Choice of a Life Testing Procedure for Exponentially Distributed DataTechnometrics, 14
-
J. Riley (1962)
Comparative Cost of Two Life Test ProceduresTechnometrics, 4
-
EP Liski, NK Mandal, KR Shah, BK Sinha (2002)
Topics in Optimal Design (Lecture Notes in Statistics)Statistics & Probability Letters
-
Rameshwar Gupta, D. Kundu (2006)
On the comparison of Fisher information of the Weibull and GE distributionsJournal of Statistical Planning and Inference, 136
-
M. Burkschat, E. Cramer, U. Kamps (2006)
On optimal schemes in progressive censoringStatistics & Probability Letters, 76
- Publisher
- Wiley
- Copyright
- Copyright © 2014 John Wiley & Sons, Ltd.
- ISSN
- 1524-1904
- eISSN
- 1526-4025
- DOI
- 10.1002/asmb.1997
- Publisher site
- See Article on Publisher Site
Abstract
Hybrid censoring scheme is a combination of Type‐I and Type‐II censoring schemes. Determination of optimum hybrid censoring scheme is an important practical issue in designing life testing experiments to enhance the information on reliability of the product. In this work, we consider determination of optimum life testing plans under hybrid censoring scheme by minimizing the total cost associated with the experiment. It is shown that the proposed cost function is scale invariant for some selected distributions. Optimum solution cannot be obtained analytically. We propose a method for obtaining the optimum solution and consider Weibull distribution for illustration. We also studied the sensitivity of the optimal solution to the misspecification of parameter values and cost components through a well‐designed sensitivity analysis. Copyright © 2013 John Wiley & Sons, Ltd.
Journal
Applied Stochastic Models in Business and Industry – Wiley
Published: Jan 1, 2014
Keywords: ; ; ; ;