Exponential-type regression compromised imputation class of estimators

A Audu, RVK Singh - Journal of Statistics and Management …, 2021 - Taylor & Francis
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 …

New regression-type compromised imputation class of estimators with known parameters of auxiliary variable

A Audu, R Singh, S Khare - Communications in Statistics …, 2023 - Taylor & Francis
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 …

Imputation of missing data through product type exponential methods in sampling theory

S Prasad, VK Yadav - Revista Colombiana de Estadística, 2023 - revistas.unal.edu.co
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 …

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 …

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 …

Some improved and alternative imputation methods for finite population mean in presence of missing information

GN Singh, AK Pandey, AK Sharma - Communications in Statistics …, 2021 - Taylor & Francis
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 …

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 …

Some imputation methods to deal with the problems of missing data in two-occasion successive sampling

GN Singh, M Khalid, JM Kim - Communications in Statistics …, 2021 - Taylor & Francis
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 …

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 …

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 …