نتایج جستجو برای: stage cluster sampling probability
تعداد نتایج: 934589 فیلتر نتایج به سال:
the main objective in sampling is to select a sample from a population in order to estimate some unknown population parameter, usually a total or a mean of some interesting variable. a simple way to take a sample of size n is to let all the possible samples have the same probability of being selected. this is called simple random sampling and then all units have the same probability of being ch...
Abstract In this research work we introduce a new sampling design, namely two-stage cluster sampling, where probability proportional to size with replacement is used in the first stage unit and ranked set second order address issue of marked variability sizes population units concerned sampling. We obtained an unbiased estimator mean total, as well variance estimator. calculated relative effici...
Sometimes in order to estimate population parameters such as mean and total values, we extract a random sample by cluster sampling method, and after completing sampling, we are interested in using the same sample to estimate the desired parameters in a subset of the population, which is said subpopulation. In this paper, we try to estimate subpopulation parameters in different cases when one-st...
In many situations there is interest in parameters (e.g., mean) associated with the response distribution of individual clusters in a finite clustered population. We develop predictors of such parameters using a two-stage sampling probability model with response error. The probability model stems directly from finite population sampling without additional assumptions and thus is design-based. T...
social and cultural family raise more than before. this article examines the role of women in family economic efficiency. to identify the components listed on the theories of resources, power, system theory and empowerment is used. sampling technique used, multi-stage stratified sampling with probability proportional to size cluster sampling is. results show that independent variables, the part...
Cluster sampling is common in survey practice, and the corresponding inference has been predominantly design-based. We develop a Bayesian framework for cluster sampling and account for the design effect in the outcome modeling. We consider a two-stage cluster sampling design where the clusters are first selected with probability proportional to cluster size, and then units are randomly sampled ...
the purpose of this study was the relationship between problem – solvi ability with fdi cognitive style of students.the research method was correlation method. for data analysis pearson test was used. statistical society in this research was all the students of alligoodarz city in 1391-92 year.to sampling of statiscal population was used sampling multi-stage random the size of sample selected 2...
1. What is a Survey? 2. Probability sampling 3. Common probability sampling designs 3.1. Simple Random Sampling 3.2. Stratified Sampling 3.3. Cluster Sampling 3.4. Unequal Probability Sampling 3.5. Systematic Sampling 3.6. Stratified Multistage Sampling 4. Survey estimates and standard errors 5. Nonsampling errors 6. Sampling rare populations 7. Issues in Survey Design Acknowledgments Glossary ...
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