The problem of optimum stratification on an auxiliary variable when the units from different strata are selected with probability proportional to the value of auxiliary variable (PPSWR) was considered by Singh (1975) for univariate case. In this paper we have extended the same problem, for proportional allocation, when two variates are under study. A cum. 3 R3(x) rule for obtaining approximately optimum strata boundaries has been provided. It has been shown theoretically as well as empirically that the use of stratification has inverse effect on the relative efficiency of PPSWR as compared to unstratified PPSWR method when proportional method of allocation is envisaged. Further comparison showed that with increase in number of strata the st...
International audienceIn this paper, we propose a stratified sampling algorithm in which the random ...
The optimally re"ned proportional sampling strategy has been recommended as a better alternativ...
most commonly used in all fields of scientific investigation is that of probabilistic sam-pling. Pro...
The problem of optimum stratification on an auxiliary variable when the units from different strata ...
In stratified random sampling, proper choice of strata boundaries is one of the important factors as...
Graduation date: 1980When stratification is employed to reduce the variance of an\ud estimate of the...
The problem of determining optimum strata boundaries (OSB), when the frequency distribution of surve...
AbstractThis work considers the problem of optimum stratification for two study variables Yj(j=1,2) ...
Cum ./LSTA_A_8828879_O_XML_IMAGES/LSTA_A_8828879_O_ILM0001.gif rule [Singh (1975)] has been suggest...
In areas with marked differences in accessibility, the cost efficiency of design-based sampling stra...
AbstractThis work considers the problem of optimum stratification for two study variables Yj(j=1,2) ...
One of the main reasons for stratifying the population is to produce a gain in precision of the esti...
This thesis is a comparative study of optimal design-based univariate stratification as applied to h...
I Sampling can be costly. I Sample size is often chosen so that point estimates achieve a minimum le...
The problem of constructing optimum stratum boundaries (OSB) and the problem of determining sample a...
International audienceIn this paper, we propose a stratified sampling algorithm in which the random ...
The optimally re"ned proportional sampling strategy has been recommended as a better alternativ...
most commonly used in all fields of scientific investigation is that of probabilistic sam-pling. Pro...
The problem of optimum stratification on an auxiliary variable when the units from different strata ...
In stratified random sampling, proper choice of strata boundaries is one of the important factors as...
Graduation date: 1980When stratification is employed to reduce the variance of an\ud estimate of the...
The problem of determining optimum strata boundaries (OSB), when the frequency distribution of surve...
AbstractThis work considers the problem of optimum stratification for two study variables Yj(j=1,2) ...
Cum ./LSTA_A_8828879_O_XML_IMAGES/LSTA_A_8828879_O_ILM0001.gif rule [Singh (1975)] has been suggest...
In areas with marked differences in accessibility, the cost efficiency of design-based sampling stra...
AbstractThis work considers the problem of optimum stratification for two study variables Yj(j=1,2) ...
One of the main reasons for stratifying the population is to produce a gain in precision of the esti...
This thesis is a comparative study of optimal design-based univariate stratification as applied to h...
I Sampling can be costly. I Sample size is often chosen so that point estimates achieve a minimum le...
The problem of constructing optimum stratum boundaries (OSB) and the problem of determining sample a...
International audienceIn this paper, we propose a stratified sampling algorithm in which the random ...
The optimally re"ned proportional sampling strategy has been recommended as a better alternativ...
most commonly used in all fields of scientific investigation is that of probabilistic sam-pling. Pro...