Some classes of estimators for sensitive population mean on successive moves

DOI10.1007/S42519-018-0008-5zbMath1426.62037OpenAlexW2914807464WikidataQ128367878 ScholiaQ128367878MaRDI QIDQ2322014

Pidugu Trisandhya, Kumari Priyanka

Publication date: 27 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s42519-018-0008-5

zbMATH Keywords

mean squared errorbiaspopulation meanrandomized response modelsensitive variableoptimum matching fractionsuccessive moves

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (1)

Investigation of competent estimation procedure for estimating the finite population mean at current occasion addressing non-response in two-occasion successive sampling

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Estimation of sensitive proportion by randomized response data in successive sampling
• Dealing sensitive characters on successive occasions through a general class of estimators using scrambled response techniques
• A note on randomized response models for quantitative data
• Use of several auxiliary variables in estimating the population mean in a two-occasion rotation pattern
• Estimation of Mean of Sensitive Characteristics for Successive Sampling
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• Alternative Estimators for Randomized Response Techniques in Multi-Character Surveys
• A comparison of estimators for randomized response sampling with continuous distributions from a dichotomous population
• Mean Estimation Under Successive Sampling with Calibration Estimators
• A Comparison of Three Randomized Response Models for Quantitative Data
• Sample rotation method with auxiliary variable
• Some estimation procedures of sensitive character using scrambled response techniques in successive sampling
• A class of exponential-type ratio estimators of a general parameter
• New scrambled response models for estimating the mean of a sensitive quantitative character
• Search of Good Rotation Patterns to Improve the Precision of Estimates at Current Occasion
• A Class of Estimators for Population Median in Two Occasion Rotation Sampling

This page was built for publication: Some classes of estimators for sensitive population mean on successive moves