In this manuscript, we discuss the problem of determining the optimum stratification of a study (or main) variable based on the auxiliary variable that follows a uniform distribution. If the stratification of survey variable is made using the auxiliary variable it may lead to substantial gains in precision of the estimates. This problem is formulated as a Nonlinear Programming Problem (NLPP), which turn out to multistage decision problem and is solved using dynamic programming technique
I Sampling can be costly. I Sample size is often chosen so that point estimates achieve a minimum le...
Summary This R package determines optimal stratification of univariate populations under stratified ...
This thesis is a comparative study of optimal design-based univariate stratification as applied to h...
The problem of determining optimum strata boundaries (OSB), when the frequency distribution of surve...
In the present investigation, some theory has been developed for optimum stratification, when two au...
In most surveys, the target variables (items of interest) commonly resemble right-skewed distributio...
In stratified random sampling when several characteristics are to be estimated simultaneously, an al...
Optimum stratification is the method of choosing the best boundaries that make strata internally hom...
Using convenient stratification criteria such as geographical regions or other natural conditions li...
When more than one characteristics are under study it is not possible for one reason or the other to...
The focus of this paper is to develop a technique of solving a combined problem of determining Optim...
The focus of this paper is to develop a technique of solving a combined problem of determining Optim...
The problem of determining the sample sizes in various strata when several characteristics are under...
Sampling has evolved into a universally accepted approach for gathering information and data mining ...
Graduation date: 1980When stratification is employed to reduce the variance of an\ud estimate of the...
I Sampling can be costly. I Sample size is often chosen so that point estimates achieve a minimum le...
Summary This R package determines optimal stratification of univariate populations under stratified ...
This thesis is a comparative study of optimal design-based univariate stratification as applied to h...
The problem of determining optimum strata boundaries (OSB), when the frequency distribution of surve...
In the present investigation, some theory has been developed for optimum stratification, when two au...
In most surveys, the target variables (items of interest) commonly resemble right-skewed distributio...
In stratified random sampling when several characteristics are to be estimated simultaneously, an al...
Optimum stratification is the method of choosing the best boundaries that make strata internally hom...
Using convenient stratification criteria such as geographical regions or other natural conditions li...
When more than one characteristics are under study it is not possible for one reason or the other to...
The focus of this paper is to develop a technique of solving a combined problem of determining Optim...
The focus of this paper is to develop a technique of solving a combined problem of determining Optim...
The problem of determining the sample sizes in various strata when several characteristics are under...
Sampling has evolved into a universally accepted approach for gathering information and data mining ...
Graduation date: 1980When stratification is employed to reduce the variance of an\ud estimate of the...
I Sampling can be costly. I Sample size is often chosen so that point estimates achieve a minimum le...
Summary This R package determines optimal stratification of univariate populations under stratified ...
This thesis is a comparative study of optimal design-based univariate stratification as applied to h...