Prediction of finite population parameters using parametric model under some loss functions

DOI10.1080/03610926.2020.1801736OpenAlexW3047607661MaRDI QIDQ5079828

Razieh Jafaraghaie

Publication date: 30 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2020.1801736

zbMATH Keywords

loss functionfinite populationBayesian approachposterior regret gamma-minimaxconditional gamma-minimaxfrequentist approachrobust Bayesian predictorsthe most stable

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Sampling theory, sample surveys (62D05) Statistics (62-XX)

Cites Work

• Bayesian nonparametric weighted sampling inference
• Robust Bayesian prediction and estimation under a squared log error loss function
• Quadratic prediction problems in finite populations
• Bayesian linear prediction in finite populations
• Conditional ¡-minimax actions under convex losses
• On robust Bayesian estimation under some asymmetric and bounded loss function
• Posterior Regret Γ-Minimax Estimation and Prediction with Applications onk-Records Data Under Entropy Loss Function
• Posterior regret Γ-minimax estimation in a normal model with asymmetric loss function
• Robust Bayesian prediction under a general linear-exponential posterior risk function and its application in finite population
• Admissibility and Bayes Estimation in Sampling Finite Populations. I
• Posterior Distribution of Percentiles: Bayes' Theorem for Sampling from a Population
• To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling
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