Add to ORKGIn this paper, we have proposed a class of exponential dual to ratio type compromised imputation technique and corresponding point estimator. Its mean square error expression is compared with the sample mean, ratio and compromised methods of imputation in the case of missing data. Further, numerical illustrations are provided with the help of some natural population data sets to compare their efficiencies for different non-response rate
In the present investigation, a hybrid of calibration and imputation has been considered in the pres...
This paper compares methods to remedy missing value problems in survey data. The commonly used meth...
A well-known problem in the field of survey sampling is the problem of missing data due to a number ...
In the present paper, a new and improved method of ratio type imputation and corresponding point est...
To deal with the problems of non - response, one parameter classes of imputation techniques have bee...
This paper aims to deal with the problem of non-response, by suggesting an exponential chain type cl...
The present work suggests some imputation methods to deal with the problems of non-response in sampl...
This article introduces some efficient generalized class of factor-type exponential imputation techn...
Non-response is an unavoidable feature in sample surveys and it needs to be carefully handled to avo...
Some imputation techniques are suggested for estimating the population mean when the data values are...
The treatment of incomplete data is an important step in statistical data analysis of most survey da...
Missing values in sample survey can lead to biased estimation if not treated. Imputation was posted ...
This paper proposes some exponential ratio type estimators of population mean under the situations w...
In practical survey sampling, missing data are unavoidable due to nonresponse, rejected observations...
In this paper we have proposed an imputation method based on a family of factor-type estimator to de...
In the present investigation, a hybrid of calibration and imputation has been considered in the pres...
This paper compares methods to remedy missing value problems in survey data. The commonly used meth...
A well-known problem in the field of survey sampling is the problem of missing data due to a number ...
In the present paper, a new and improved method of ratio type imputation and corresponding point est...
To deal with the problems of non - response, one parameter classes of imputation techniques have bee...
This paper aims to deal with the problem of non-response, by suggesting an exponential chain type cl...
The present work suggests some imputation methods to deal with the problems of non-response in sampl...
This article introduces some efficient generalized class of factor-type exponential imputation techn...
Non-response is an unavoidable feature in sample surveys and it needs to be carefully handled to avo...
Some imputation techniques are suggested for estimating the population mean when the data values are...
The treatment of incomplete data is an important step in statistical data analysis of most survey da...
Missing values in sample survey can lead to biased estimation if not treated. Imputation was posted ...
This paper proposes some exponential ratio type estimators of population mean under the situations w...
In practical survey sampling, missing data are unavoidable due to nonresponse, rejected observations...
In this paper we have proposed an imputation method based on a family of factor-type estimator to de...
In the present investigation, a hybrid of calibration and imputation has been considered in the pres...
This paper compares methods to remedy missing value problems in survey data. The commonly used meth...
A well-known problem in the field of survey sampling is the problem of missing data due to a number ...