Exponential-type regression compromised imputation class of estimators
Surveys such as medical, social science, etc conducted by human are often challenged by
problem of non-response or missing observations. Different imputation strategies have been …
problem of non-response or missing observations. Different imputation strategies have been …
New regression-type compromised imputation class of estimators with known parameters of auxiliary variable
In this paper, we have proposed a regression-type compromised imputation methods free of
unknown parameters. The properties (biases and MSEs) of the proposed class of estimators …
unknown parameters. The properties (biases and MSEs) of the proposed class of estimators …
Imputation of missing data through product type exponential methods in sampling theory
Some e cient product type exponential imputation methods are proposed in this article to
tackle the problem of incomplete values in sampling theory. To investigate the effectiveness …
tackle the problem of incomplete values in sampling theory. To investigate the effectiveness …
Some compromised exponential ratio type imputation methods in simple random sampling
S Prasad - Proceedings of the National Academy of Sciences …, 2021 - Springer
In this paper, some compromised exponential ratio type imputation methods have been
suggested and their corresponding point estimators have been proposed in simple random …
suggested and their corresponding point estimators have been proposed in simple random …
A study on new methods of ratio exponential type imputation in sample surveys
S Prasad - Hacettepe Journal of Mathematics and Statistics, 2018 - dergipark.org.tr
In this article, we have suggested new methods of ratio exponential type imputation and
proposed their corresponding point estimators to deal with the problems of non-response in …
proposed their corresponding point estimators to deal with the problems of non-response in …
Some improved and alternative imputation methods for finite population mean in presence of missing information
The crux of this study is to propose some modified and improved compromised imputation
methods and their corresponding point estimators to estimate the population mean using …
methods and their corresponding point estimators to estimate the population mean using …
An impact study of business process models for requirements elicitation in XP
H Ordóñez, AFE Villada, DLV Vanegas… - … Science and Its …, 2015 - Springer
Many communication problems may appear during requirements elicitation causing that
final products do not accomplish client expectations. This paper analyzes the impact of using …
final products do not accomplish client expectations. This paper analyzes the impact of using …
Some imputation methods to deal with the problems of missing data in two-occasion successive sampling
The missing data often create nuisance to the survey practitioners in producing the reliable
estimates of the desired parameters. Keeping this point in view, the present work suggests …
estimates of the desired parameters. Keeping this point in view, the present work suggests …
Ratio exponential type estimators with imputation for missing data in sample surveys
S Prasad - Model Assisted Statistics and Applications, 2017 - content.iospress.com
Twenty exponential type estimators with imputation have been suggested to overcome the
problem of missing data for a study variable in sample surveys. It has been shown that the …
problem of missing data for a study variable in sample surveys. It has been shown that the …
Improved estimators of population variance using robust measures in case of missing data
LK Grover, A Sharma - Journal of Computational and Applied Mathematics, 2024 - Elsevier
In this paper, an attempt has been made in proposing some improved estimators of finite
population variance when random non-response is present in the study variable, on the …
population variance when random non-response is present in the study variable, on the …