On the comparison of Fisher information of the Weibull and GE distributions

By Rameshwar D. Gupta, Debasis Kundu. 2006

80 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/173cfe8351ca261c181d9112149248e0ab1875cc

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In Statistics and Probability

Citations in the corpus

Temporal correlations and clustering of landslides (2010, methodology): “We model the interextreme occurrence times (Figure 9, Table III) as having a frequency-size distribution that is Weibull distributed, by applying a maximum likelihood technique (Yee and Wild, 1996; Gupta and Kundu, 2006) to estimate the shape parameter, γ.”
Inferences and Optimal Censoring Schemes for Progressively First-Failure Censored Nadarajah-Haghighi Distribution (2020, background): “Unfortunately, in presence of the shape and scale parameters, the Criterion-I and Criterion-II are not scale invariant, Gupta and Kundu (2006).”
On progressively censored generalized exponential distribution (2009, methodology): “In this paper, following the idea of Gupta and Kundu (2006), we consider the following information measures for a particular censoring scheme: IW { (R1, . . . ,Rm) } = ∫ 1 0 V { (R1, . . . ,Rm) } p W(p)dp, (12) where V {(R1, . . . ,Rm)}p denotes the asymptotic variance of T̂p , the MLE of Tp ,…”
Inference and optimal censoring schemes for progressively censored Birnbaum–Saunders distribution (2013, background): “Unfortunately, in presence of the shape parameter, it can be shown that, see Gupta and Kundu (2006), the trace or determinant are not scale invariant.”
Bayesian Inference and Life Testing Plan for the Weibull Distribution in Presence of Progressive Censoring (2008, methodology): “Our first criterion depends on the pth quantile estimator; the second is based on the overall percentile estimator, similar to the idea proposed by Gupta and Kundu (2006).”