ON A LESS CUMBERSOME METHOD OF ESTIMATION OF PARAMETERS OF LINDLEY DISTRIBUTION BY ORDER STATISTICS | Zendy

M. R. Irshad | Zendy; R. Maya | Zendy

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ON A LESS CUMBERSOME METHOD OF ESTIMATION OF PARAMETERS OF LINDLEY DISTRIBUTION BY ORDER STATISTICS

Author(s) -

M. R. Irshad,

R. Maya

Publication year - 2018

Publication title -

statistics in transition new series

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.155

H-Index - 7

eISSN - 2450-0291

pISSN - 1234-7655

DOI - 10.21307/stattrans-2018-032

Subject(s) - statistics , mathematics , order statistic , estimator , distribution (mathematics) , sample size determination , scale parameter , sample (material) , scale (ratio) , integer (computer science) , computer science , mathematical analysis , chemistry , physics , chromatography , quantum mechanics , programming language

In this article, we have derived suitable U-statistics from a sample of any size exceeding a specified integer to estimate the location and scale parameters of Lindley distribution without the evaluation of means, variances and co-variances of order statistics of an equivalent sample size arising from the corresponding standard form of distribution. The exact variances of the estimators have been also obtained.

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