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2021 | OriginalPaper | Chapter

Estimation from Censored Sample: Size-Biased Lomax Distribution

Authors : A. Naga Durgamamba, Kanti Sahu

Published in: Microelectronics, Electromagnetics and Telecommunications

Publisher: Springer Singapore

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Abstract

In this work, the scale parameter is derived with famous shape parameter from the censored sample victimization of the maximum likelihood technique for the size-biased Lomax distribution (SBLD). The predicting equations are changed to urge less-complicated and economical predictors. Two ways of modification are steered. The results are given.

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Metadata
Title
Estimation from Censored Sample: Size-Biased Lomax Distribution
Authors
A. Naga Durgamamba
Kanti Sahu
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-3828-5_15