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Information Journal Paper

Title

ANALYSIS OF HYBRID CENSORED DATA FROM THE LOGNORMAL DISTRIBUTION

Pages

  46-37

Abstract

 The mixture of Type I and Type II censoring schemes, called the HYBRID CENSORING. This article presents the statistical inferences on lognormal parameters when the data are hybrid censored. We obtain the maximum likelihood estimators (MLEs) and the approximate maximum likelihood estimators (AMLEs) of the unknown parameters. ASYMPTOTIC DISTRIBUTIONs of the maximum likelihood estimators are used to construct approximate confidence intervals. MONTE CARLO SIMULATIONs are performed to compare the performances of the different methods and one data set is analyzed for illustrative purposes.

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    APA: Copy

    HABIBI RAD, A., & YOUSEFZADEH, F.. (2010). ANALYSIS OF HYBRID CENSORED DATA FROM THE LOGNORMAL DISTRIBUTION. JOURNAL OF STATISTICAL RESEARCH OF IRAN (JSRI), 7(1), 46-37. SID. https://sid.ir/paper/576339/en

    Vancouver: Copy

    HABIBI RAD A., YOUSEFZADEH F.. ANALYSIS OF HYBRID CENSORED DATA FROM THE LOGNORMAL DISTRIBUTION. JOURNAL OF STATISTICAL RESEARCH OF IRAN (JSRI)[Internet]. 2010;7(1):46-37. Available from: https://sid.ir/paper/576339/en

    IEEE: Copy

    A. HABIBI RAD, and F. YOUSEFZADEH, “ANALYSIS OF HYBRID CENSORED DATA FROM THE LOGNORMAL DISTRIBUTION,” JOURNAL OF STATISTICAL RESEARCH OF IRAN (JSRI), vol. 7, no. 1, pp. 46–37, 2010, [Online]. Available: https://sid.ir/paper/576339/en

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