Optimum quantiles for the linear estimation of the parameters of the extreme value distribution in complete and censored samples
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Publication:5580787
DOI10.1002/nav.3800160309zbMath0186.52102OpenAlexW1580744869MaRDI QIDQ5580787
A. B. M. Lutful Kabir, Lai-Kow Chan
Publication date: 1969
Published in: Naval Research Logistics Quarterly (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/nav.3800160309
Related Items (4)
Optimum spacing for the asymptotically best linear estimate of the location parameter of the logistic distribution when samples are complete or censored ⋮ Order statistics from extreme value distribution, ii: best linear unbiased estimates and some other uses ⋮ An optimum t‐test for the scale parameter of an extreme‐value distribution ⋮ Optimal spacing of the selected sample quantiles for the joint estimation of the location and scale parameters of a symmetric distribution
Cites Work
- Unnamed Item
- Estimation of the Shape and Scale Parameters of the Weibull Distribution
- The Estimation of the Parameters of the Iterated Exponential Distribution from Singly Censored Samples
- Estimation of One or Two Parameters of the Exponential Distribution on the Basis of Suitably Chosen Order Statistics
- Decision results for the parameters of the extreme value (Gumbel) distribution based on the mean and the standard deviation
- An Exact Asymptotically Efficient Confidence Bound for Reliability in the Case of the Weibull Distribution
- Linear Estimates of Parameters in the Extreme Value Distribution
- A Note on Estimation from a Type I Extreme-Value Distribution
- Point and Interval Estimation Procedures for the Two-Parameter Weibull and Extreme-Value Distributions
- Analysis of Extreme-Value Data by Sample Quantiles for Very Large Samples
- An Approximation to the Sampling Variance of an Estimated Maximum Value of Given Frequency Based on Fit of Doubly Exponential Distribution of Maximum Values
- Two early papers on the relation between extreme values and tensile strength
- On Some Useful "Inefficient" Statistics
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