Обложка Robust Estimation in Stratified Sampling under Super-population Model
Название книги:

Robust Estimation in Stratified Sampling under Super-population Model

LAP LAMBERT Academic Publishing (2013-05-23 )

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ISBN-13:

978-3-659-17622-7

ISBN-10:
3659176222
EAN:
9783659176227
Язык Книги:
Английский
Краткое описание:
In this book, two estimators of population total in stratified sampling under the single super-population model across the strata were developed and its properties and robustness were studied. It has been shown that both estimators remained robust and BLUE even under the model for stratified balanced and overbalanced samples. It has also been found that both estimators were more efficient than that of due to Scott et al. (1978 and Royall & Herson (1973b) under certain condition. The main tool in development of linear predictors in stratified sampling was the results of Pereira and Rodrigues (1983), which have been briefly mentioned in the book. Following the work of Bouza (1990, 1994), two sets of shrunken estimators were also developed under the model M and Mh respectively, in stratified sampling, where slopes of the models were common and uncommon across the strata. The proposed shrunken estimators have been found more efficient and robust as compared to that of Bouza (1990, 1994).
Издательский Дом:
LAP LAMBERT Academic Publishing
Веб-сайт:
https://www.lap-publishing.com/
By (author) :
Rajendra Kaushal, Bhim Singh, B.V.S. Sisodia
Количество страниц:
120
Опубликовано:
2013-05-23
Акции:
В наличии
Категория:
Теория вероятности, стохастичность, математическая статистика
Цена:
54.90 €
Ключевые слова:
Stratified Sampling, Balanced sample, Shrunken predictors, Super-population model, robustness

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