Smooth nonparametric estimation of thedistribution and density functions from record-breaking data
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Publication:4843798
DOI10.1080/03610929408831319zbMath0825.62160OpenAlexW2024358479MaRDI QIDQ4843798
Publication date: 17 August 1995
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610929408831319
Related Items (22)
Statistical inference based on generalized Lindley record values ⋮ Nonparametric confidence and tolerance intervals from record values data ⋮ Smooth nonparametric estimation of the hazard and hazard rate functions from record-breaking data ⋮ Bayesian estimation and prediction for some life distributions based on record values ⋮ Statistical analysis for Kumaraswamy's distribution based on record data ⋮ Bayesian estimation and prediction based on lognormal record values ⋮ Nonparametric function estimation from inversely sampled record‐breaking data ⋮ Record-breaking data: a parametric comparison of the inverse-sampling and the random-sampling schemes ⋮ On the distribution-free confidence intervals and universal bounds for quantiles based on joint records ⋮ Estimation and Prediction in a Two-Parameter Exponential Distribution Based on k-Record Values under LINEX Loss Function ⋮ Generalized exponential records: existence of maximum likelihood estimates and its comparison with transforming based estimates ⋮ Nonparametric meta-analysis of independent samples of records ⋮ Comparison of estimates using record statistics from Weibull model: Bayesian and non-Bayesian approaches ⋮ Classical and Bayesian estimation of \(P(X<Y)\) using upper record values from Kumaraswamy's distribution ⋮ BAYESIAN ANALYSIS FOR THE BURR TYPE XII DISTRIBUTION BASED ON RECORD VALUES ⋮ Estimation with the generalized exponential distribution based on record values and inter-record times ⋮ Comparing the fisher information in record values and iid observations ⋮ Estimation and prediction of the Burr type XII distribution based on record values and inter-record times ⋮ A study of the effect of loss functions on the Bayes estimates of dynamic cumulative residual entropy for Pareto distribution under upper record values ⋮ Estimation and prediction of the Kumaraswamy distribution based on record values and inter-record times ⋮ Unnamed Item ⋮ Pooled parametric inference for minimal repair systems
Cites Work
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- The future occurrence of records
- Linear prediction of record values for the two parameter exponential distribution
- Strong approximations of the quantile process
- A Smooth Nonparametric Estimator of a Quantile Function
- On estimating population characteristics from record-breaking observations. i. parametric results
- On estimating population characteristics from record-breaking observations II. Nonparametric results
- Breaking Records and Breaking Boards
- On Non-Parametric Estimates of Density Functions and Regression Curves
- A Note on Quantiles in Large Samples
- Extremal Processes
- On Estimation of a Probability Density Function and Mode
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