Some Classes of Estimators for Sensitive Population Mean on Successive Moves

Autor:	Pidugu Trisandhya, Kumari Priyanka
Rok vydání:	2018
Předmět:	Statistics and Probability Estimation Population mean 05 social sciences Estimator Successive sampling 01 natural sciences 010104 statistics & probability Character (mathematics) 0502 economics and business Statistics Randomized response 050211 marketing 0101 mathematics Mathematics
Zdroj:	Journal of Statistical Theory and Practice. 13
ISSN:	1559-8616 1559-8608
DOI:	10.1007/s42519-018-0008-5
Popis:	The present work endeavors to propose some classes of exponential-type estimators to estimate population mean of a sensitive character using a non-sensitive auxiliary information in two move successive sampling. To deal with sensitive issues, randomized response techniques have been applied. The detail properties of the proposed classes of estimators have been discussed. They are also compared with some recent estimators which have been modified to work for sensitive population mean estimation. Extensive numerical illustrations along with simulation studies have been carried out to substantiate the theoretical results. Optimum replacement policies have also been elaborated. Finally appropriate recommendations have been forwarded for practical applications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::12c59174f5e6eebbeafdd48fdcafd49c https://doi.org/10.1007/s42519-018-0008-5 Zobrazit plný text záznamu Full text from SpringerLink