Classic and Bayes Shrinkage Estimation in Rayleigh Distribution Using a Point Guess Based on Censored Data

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Kiapor Azadeh

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Journal: MATHEMATICAL RESEARCHES Year:2018 | Volume:4 | Issue:1 Page(s): 63-74

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Information Journal Paper

Title

Classic and Bayes Shrinkage Estimation in Rayleigh Distribution Using a Point Guess Based on Censored Data

Author(s)

Kiapor Azadeh | Issue Writer Certificate

Keywords

Shrinkage estimatorQ1

Scale invariant squared error loss functionQ1

Rayleigh distributionQ1

Abstract

Introduction In classical methods of statistics, the parameter of interest is estimated based on a random sample using natural estimators such as maximum likelihood or unbiased estimators (sample information). In practice, the researcher has a prior information about the parameter in the form of a point guess value. Information in the guess value is called as nonsample information. Thompson (1968) proposed a Shrinkage estimator by combining sample and nonsample information which is a linear combination of a natural estimator and the guess value. ...

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APA: Copy

Kiapor, Azadeh. (2018). Classic and Bayes Shrinkage Estimation in Rayleigh Distribution Using a Point Guess Based on Censored Data. MATHEMATICAL RESEARCHES, 4(1 ), 63-74. SID. https://sid.ir/paper/260800/en

Vancouver: Copy

Kiapor Azadeh. Classic and Bayes Shrinkage Estimation in Rayleigh Distribution Using a Point Guess Based on Censored Data. MATHEMATICAL RESEARCHES[Internet]. 2018;4(1 ):63-74. Available from: https://sid.ir/paper/260800/en

IEEE: Copy

Azadeh Kiapor, “Classic and Bayes Shrinkage Estimation in Rayleigh Distribution Using a Point Guess Based on Censored Data,” MATHEMATICAL RESEARCHES, vol. 4, no. 1 , pp. 63–74, 2018, [Online]. Available: https://sid.ir/paper/260800/en

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