Fr. 71.00

Robust Estimation in Stratified Sampling under Super-population Model

English, German · Paperback / Softback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

Read more

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).

About the author










Rajendra Kaushal (top one): Assistant Professor at MSKJUAT, Banda, U.P.; Bhim Singh (left one): Assistant Professor at College of Horticulture and Forestry (MPUAT), Jhalawar and B.V.S. Sisodia (right one): Professor & Head at NDUAT, Faizabad. All authors are Ph.D. and engaged in teaching and research in the area of Agricultural Statistics.

Product details

Authors Rajendr Kaushal, Rajendra Kaushal, Bhi Singh, Bhim Singh, B V S Sisodia, B. V. S. Sisodia
Publisher LAP Lambert Academic Publishing
 
Languages English, German
Product format Paperback / Softback
Released 01.01.2013
 
EAN 9783659176227
ISBN 978-3-659-17622-7
No. of pages 120
Subject Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.