MODELLING SENSITIVE ISSUES ON SUCCESSIVE WAVES
| Autor: | Pidugu Trisandhya, Kumari Priyanka |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Statistics and Probability
ddc:519 Mean squared error Population mean Mathematical analysis Successive waves Transportation Scrambled Response model Auxiliary variables Class of estimators Character (mathematics) Bias Statistics Probability and Uncertainty Current wave Sensitive variable lcsh:Statistics lcsh:HA1-4737 Mathematics |
| Zdroj: | Statistics in Transition, Vol 20, Iss 1 (2019) |
| ISSN: | 2450-0291 |
| DOI: | 10.21307/stattrans-2019-003 |
| Popis: | This paper addresses the problem of estimation of population mean of sensitive character using non-sensitive auxiliary variable at current wave in two wave successive sampling. A general class of estimator is proposed and studied under randomized and scrambled response model. Many existing estimators have been modified to work for sensitive population mean estimation. The modified estimators became the members of proposed general class of estimators. The detail properties of all the estimators have been discussed. Their behaviour under randomized and scrambled response techniques have been elaborated. Numerical illustrations including simulation have been accompanied to judge the performance of different estimators. Finally suitable recommendations are forwarded. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|