Some exponential estimators in sample survey using robust regression method in the presence of outliers

DOI10.1134/S199508022460153XMaRDI QIDQ6634975

Shakti Prasad, Vinay Kumar Yadav

Publication date: 8 November 2024

Published in: Lobachevskii Journal of Mathematics (Search for Journal in Brave)

zbMATH Keywords

outliersmean squared errorauxiliary informationrelative efficiencyordinary least squareexponential estimatorsM estimationrobust-regression method

Mathematics Subject Classification ID

Statistics (62-XX) Parametric inference (62Fxx) Statistical sampling theory and related topics (62Dxx)

Cites Work

• Improved estimation of population mean in simple random sampling using information on auxiliary attribute
• Improved class of ratio and product estimators
• Improvement in estimating the population mean in simple random sampling
• Tutorial on maximum likelihood estimation
• Ratio estimators in simple random sampling
• Robust regression: Asymptotics, conjectures and Monte Carlo
• An alternative family of combined estimators for estimating population mean in finite populations
• Proposing novel modified ratio estimators by adding an exponential parameter
• New class of estimators of the population mean using the known population median of the study variable
• Contribution to the theory of sampling human populations.
• Ratio and Product Type Exponential Estimators
• Some estimator types for population mean using linear transformation with the help of the minimum and maximum values of the auxiliary variable
• A Generalized Class of Ratio Type Exponential Estimators of Population Mean Under Linear Transformation of Auxiliary Variable
• On the Theory of Sampling from Finite Populations
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