Showing posts with label non-response. Show all posts
Showing posts with label non-response. Show all posts

Sunday, 7 August 2022

Estimators for the Product of Two Population Means Using Auxiliary Attribute in the Presence of Non-response| Chapter 8 | Novel Research Aspects in Mathematical and Computer Science Vol. 6

 

 Non-response is an issue that typically arises from lack of interest, being away from home, refusing, etc. For population mean estimate in the situation of nonresponse, many authors produced estimators. When there is a non-response, estimate of the product of two population means is also necessary. Some estimators for the product of two population means employing an auxiliary characteristic in the presence of non-response have been proposed while keeping this feature in mind. Study is also done on the recommended estimators' characteristics. The proposed estimators are compared to the pertinent estimators in a research. A numerical analysis is also provided to compare the effectiveness of the suggested estimators to the pertinent estimators using an actual data set. From an analysis of numbers, it has

Author(s) Details:

Kamlesh Kumar,
Department of Statistics, Central University of South Bihar, Gaya, Bihar, India.

Sunit Kumar,
Department of Statistics, Central University of South Bihar, Gaya, Bihar, India.

Please see the link here: https://stm.bookpi.org/NRAMCS-V6/article/view/7767

Thursday, 25 November 2021

Study on Generalized Exponential Type Estimators for Ratio of Two Population Means Using Auxiliary Attribute in the Presence of Non-response | Chapter 4 | Recent Advances in Mathematical Research and Computer Science Vol. 4

 In this research, we offer generalised exponential type estimators for the ratio of two population means in the case of non-response utilising an auxiliary feature. Up to the first order of approximation, formulas for the mean square error of the suggested estimators are produced. There are also some specific examples of the proposed estimators. The conditions under which the suggested estimators outperform the relevant estimators are discovered. To evaluate the performance of the suggested estimators, an empirical research utilising a real data set is also provided. The goal of this study is to find estimators for the ratio of two population means in the presence of non-response that are more efficient than conventional estimators and exponential type estimators.


Author(S) Details

Kamlesh Kumar
Department of Statistics, Central University of South Bihar, Gaya, Bihar, India.

Sunit Kumar
Department of Statistics, Central University of South Bihar, Gaya, Bihar, India.

Anupam Kumar
Department of Statistics, PUC, Mizoram University, Aizawl, Mizoram, India.

View Book:- https://stm.bookpi.org/RAMRCS-V4/article/view/4870