Estimating the quantile function of a location-scale family of distributions based on few selected order statistics
DOI10.1016/0378-3758(83)90063-0zbMath0533.62042OpenAlexW2126042854MaRDI QIDQ789845
Dale Umbach, A. K. Md. Ehsanes Saleh, M. Masoom Ali
Publication date: 1983
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(83)90063-0
order statisticsexponential distributionPareto distributionquantile functionlocation-scale familydouble exponential distributionasymptotically best linear unbiased estimatornonregular distributionoptimal spacing
Asymptotic properties of parametric estimators (62F12) Order statistics; empirical distribution functions (62G30)
Related Items (6)
Cites Work
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- A density-quantile function approach to optimal spacing selection
- Estimation from Life Test Data
- Efficient Unbiased Quantile Estimators for Moderate-Size Complete Samples from Extreme-Value and Weibull Distributions; Confidence Bounds and Tolerance and Prediction Intervals
- Nonparametric Statistical Data Modeling
- Analysis of Extreme-Value Data by Sample Quantiles for Very Large Samples
- Simultaneous Estimation of the Parameters of the Extreme Value Distribution by Sample Quantiles
- Asymptotic Optimum Quantiles for the Estimation of the Parameters of the Negative Exponential Distribution
- Estimators and Exact Confidence Bounds for Weibull Parameters Based on a Few Ordered Observations
- On Some Useful "Inefficient" Statistics
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