Temat: scrambled response - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Ratio estimation of two population means in two-phase stratified random sampling under a scrambled response situation
Autorzy:: Das, Pitambar
Singh, Garib Nath
Bandyopadhyay, Arnab
Powiązania:: https://bibliotekanauki.pl/articles/31342165.pdf
Data publikacji:: 2023-12-07
Wydawca:: Główny Urząd Statystyczny
Tematy:: stratified random sampling
scrambled response
auxiliary variable
mean square error
simulation study
Opis:: In this paper, we have described the development of an effective two-phase stratified random sampling estimation procedure in a scrambled response situation. Two different exponential, regression-type estimators were formed separately for different structures of two-phase stratified sampling schemes. We have studied the properties of the suggested strategy. The performance of the proposed strategy has been demonstrated through numerical evidence based on a data set of a natural population and a population generated through simulation studies. Taking into consideration the encouraging findings, suitable recommendations for survey statisticians are prepared for the application of the proposed strategy in real-life conditions.
Źródło:: Statistics in Transition new series; 2023, 24, 5; 45-61
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Modelling sensitive issues on successive waves
Autorzy:: Priyanka, Kumari
Trisandhya, Pidugu
Powiązania:: https://bibliotekanauki.pl/articles/1359283.pdf
Data publikacji:: 2019-04-25
Wydawca:: Główny Urząd Statystyczny
Tematy:: Sensitive variable
Successive waves
Scrambled Response model
Class of estimators
Population mean
Bias
Mean squared error
Optimum matching fraction
Opis:: 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.
Źródło:: Statistics in Transition new series; 2019, 20, 1; 41-65
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

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