Estimation of Probability Density Function Based on Random Number of Observations with Applications

DOI10.2307/1402789zbMath0275.62032OpenAlexW2316533424MaRDI QIDQ5184303

R. C. Srivastava

Publication date: 1973

Published in: International Statistical Review / Revue Internationale de Statistique (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/1402789

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Nonparametric estimation (62G05)

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Optimal random sample size based on Bayesian prediction of exponential lifetime and application to real data ⋮ Optimization in progressively Type-II censoring with random sample size based on cost constraint ⋮ Nonparametric sequential estimation of the cumulative function by orthogonal series and application in reliability ⋮ On sequential density estimation ⋮ An overview of sequential nonparametric density estimation ⋮ Plug-In Two-Stage Normal Density Estimation Under MISE Loss: Unknown Variance ⋮ Optimal random sample size in progressively Type-II censoring based on cost constraint for the proportional hazards family ⋮ Sequential and recursive estimators of the probability density

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