Autor: Priyanka - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Advances in estimation by the item sum technique in two move successive sampling
Autorzy:: Priyanka, Kumari
Trisandhya, Pidugu
Powiązania:: https://bibliotekanauki.pl/articles/19900669.pdf
Data publikacji:: 2023-09-08
Wydawca:: Główny Urząd Statystyczny
Tematy:: Sensitive variable
Successive moves
Population mean
Variance
Mean squared error
Optimum matching fraction
Opis:: The present article proposes an estimator using the Item Sum Technique (IST) for the estimation of dynamic sensitive population mean using non-sensitive auxiliary information in the two-move successive sampling. Properties of the proposed IST estimator have been analysed. Possible allocation designs for allocating long-list and short-list samples pertaining to the IST have been elaborated. The comparison between various allocation designs has been carried out. Theoretical considerations have been integrated with numerical as well as simulation studies to show the working version of the proposed IST estimators in the two-move successive sampling.
Źródło:: Statistics in Transition new series; 2023, 24, 4; 123-138
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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