In this article, we consider the estimation of population mean when some observations on the study characteristic are missing in the bivariate sample data. In all, five estimators are presented and their efficiency properties are discussed. One estimator arises from the the amputation of incomplete observations while the remaining four estimators are formulated using inputed values obtained by the ratio method of estimation
Incomplete data is a common problem of survey research. Recent work on multiple imputation technique...
This paper compares methods to remedy missing value problems in survey data. The commonly used meth...
A statistician\u27s job is to produce statistical models. When these models are precise and unbiased...
In this article, we consider the estimation of population mean when some observations on the study ...
This paper considers the problem of estimating the population mean using the ratio and product metho...
When some observations in the sample data are missing, the application of the regression method is c...
AbstractIn this study we consider the problem where two variables can have missing values not necess...
Some imputation techniques are suggested for estimating the population mean when the data values are...
The problem of incomplete data and its implications for drawing valid conclusions from statistical a...
Imputed values in surveys are often generated under the assumption that the sampling mechanism is no...
Missing values are a serious problem in surveys. The literature suggests to replace these with reali...
Missing data is one of the challenges we are facing today in modeling valid statistical models. It r...
The properties of the usual estimator of the population mean or total calculated using a sample that...
Missing data continues to be an issue not only the field of statistics but in any field, that deals ...
The present article deals with the problem of estimation of parameters in a linear regression model ...
Incomplete data is a common problem of survey research. Recent work on multiple imputation technique...
This paper compares methods to remedy missing value problems in survey data. The commonly used meth...
A statistician\u27s job is to produce statistical models. When these models are precise and unbiased...
In this article, we consider the estimation of population mean when some observations on the study ...
This paper considers the problem of estimating the population mean using the ratio and product metho...
When some observations in the sample data are missing, the application of the regression method is c...
AbstractIn this study we consider the problem where two variables can have missing values not necess...
Some imputation techniques are suggested for estimating the population mean when the data values are...
The problem of incomplete data and its implications for drawing valid conclusions from statistical a...
Imputed values in surveys are often generated under the assumption that the sampling mechanism is no...
Missing values are a serious problem in surveys. The literature suggests to replace these with reali...
Missing data is one of the challenges we are facing today in modeling valid statistical models. It r...
The properties of the usual estimator of the population mean or total calculated using a sample that...
Missing data continues to be an issue not only the field of statistics but in any field, that deals ...
The present article deals with the problem of estimation of parameters in a linear regression model ...
Incomplete data is a common problem of survey research. Recent work on multiple imputation technique...
This paper compares methods to remedy missing value problems in survey data. The commonly used meth...
A statistician\u27s job is to produce statistical models. When these models are precise and unbiased...