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• W4200453583 abstract "In this paper, we first develop exact likelihood inference for Laplace distribution based on a generalized Type-I hybrid censored sample (Type-I HCS). We derive explicit expressions for the maximum likelihood estimators (MLEs) of the location and scale parameters. We then derive the joint moment generating function (MGF) of the MLEs, and use it to obtain the exact distributions and moments of the MLEs. Using an analogous approach, we extend the results to a generalized Type-II hybrid censored sample (Type-II HCS) next. Finally, we present a numerical example to illustrate all the results established here." @default.
• W4200453583 created "2021-12-31" @default.
• W4200453583 creator A5039956503 @default.
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• W4200453583 date "2021-12-22" @default.
• W4200453583 modified "2023-10-16" @default.
• W4200453583 title "Exact likelihood inference for Laplace distribution based on generalized hybrid censored samples" @default.
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• W4200453583 doi "https://doi.org/10.1080/03610918.2021.2018458" @default.
• W4200453583 hasPublicationYear "2021" @default.
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