Nonparametric function estimation from inversely sampled record‐breaking data

DOI10.2307/3315380zbMath0858.62030OpenAlexW2004321409MaRDI QIDQ4891287

Sneh Gulati, W. J. Padgett

Publication date: 23 March 1997

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315380

zbMATH Keywords

asymptotic normalityrecord valuesbandwidthkernel estimatorssuccessive minimastrong consistencybiasesmean squared errorsnumber of recordsinversely sampled record-breaking data

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (15)

Confidence intervals for quantiles in terms of record range ⋮ Fisher information in record values and their concomitants about dependence and correlation parameters ⋮ Comparison of record data and random observations based on statistical evidence ⋮ Entropy properties of record statistics ⋮ Nonparametric confidence intervals for quantiles and quantile intervals from inversely sampled record breaking data in a multi-sample plan ⋮ 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 ⋮ Exact nonparametric conditional inference based on \(k\)-records, given inter-\(k\)-record times ⋮ Comparing the Fisher information in record data and random observations ⋮ Inequalities for Expected Current Record Statistics ⋮ Generalized exponential records: existence of maximum likelihood estimates and its comparison with transforming based estimates ⋮ Optimal sample size for record data and associated cost analysis for exponential distribution ⋮ Evidential inference based on record data and inter-record times ⋮ Comparing the fisher information in record values and iid observations ⋮ On the Construction of Preliminary Test Estimator Based on Record Values for the Burr XII Model

Cites Work

• Unnamed Item
• Unnamed Item
• Cox's regression model for counting processes: A large sample study
• Smooth nonparametric estimation of the hazard and hazard rate functions from record-breaking data
• Limit laws for record values
• Record values and maxima
• On estimating population characteristics from record-breaking observations. i. parametric results
• On estimating population characteristics from record-breaking observations II. Nonparametric results
• Estimating a Distribution Function Based on Nomination Sampling
• Breaking Records and Breaking Boards
• Extremal processes and record value times
• Smooth nonparametric estimation of thedistribution and density functions from record-breaking data
• NONPARAMETRIC QUANTILE ESTIMATION FROM RECORD‐BREAKING DATA
• Extremal Processes

This page was built for publication: Nonparametric function estimation from inversely sampled record‐breaking data