stratified sampling
Optimal Allocation of Stratified Sampling Design Using Gradient Projection Method
... One of the areas of statistics that is most commonly used in all fields of scientific investigation is that of stratified sampling. In order to achieve greater precision of the estimate it is desirable to ...
7
The Advantage and Disadvantage of Implicitly Stratified Sampling
... use stratified sampling ...interviews. Stratified sampling is therefore highly ...(proportionate stratified sampling) or whether some should be over-sampled, perhaps in order to ...
14
Estimation of Population Ratio in Post Stratified Sampling Using Variable Transformation
... random sampling scheme, is given as R ˆ = y x , which is the ratio of the sample means of the two variables ([2] and ...post- stratified sampling scheme, the works on ratio estimation carried out by ...
10
NONPARAMETRIC MIXED RATIO ESTIMATOR FOR A FINITE POPULATION TOTAL IN STRATIFIED SAMPLING
... has in general led a relatively smaller error compared to the usual separate ratio estimator. We can therefore conclude that nonparametric regression approach in stratified sampling using the modified ...
15
Optimized Sampling Strategy For Big Data Mining Through Stratified Sampling
... Stratified sampling manages two techniques for big data analysis such as stratification and sample allocation [12][18][19][24]. Stratification dividing heterogeneous data object in homogenous data object ...
7
Improve Intrusion Detection for Decision Tree with Stratified Sampling
... Abstract: The present paper aims to improve accuracy of intrusion detection for decision tree algorithm. A number of techniques available for intrusion detection. In this paper we have supervised learning with ...
5
SOLUTION OF A MULTIVARIATE STRATIFIED SAMPLING PROBLEM THROUGH CHEBYSHEV GOAL PROGRAMMING
... In sample surveys, estimation of more than one population characteristics may be required. When stratified sampling is to be used, then an allocation criterion among various strata that is uniformly optimum ...
8
Chance constrained compromise mixed allocation in multivariate stratified sampling
... In stratified sampling, the use of any particular type of allocation depends on the nature of the population, objectives of survey, the available budget, ...a stratified population do not allow the ...
12
An Optimum Multivariate-Multiobjective Stratified Sampling Design: Fuzzy Programming Approach
... In stratified sampling design when the cost of measuring the units is not significant in each stratum, the estimation of population mean or total constructed from a selected sample according to Neyman ...
27
Semi Supervised Learning for Semantic Relation Classification using Stratified Sampling Strategy
... on stratified sampling strategy in the bootstrapping procedure for semi-supervised semantic relation ...the stratified sampling is that every relation type should be as much as possible ...
9
A FAMILY OF ESTIMATORS FOR ESTIMATING POPULATION MEAN IN STRATIFIED SAMPLING UNDER NON-RESPONSE
... We have proposed a family of estimators in stratified sampling using an auxiliary variable in the presence of non-response on study variable. We have also derived the expressions for optimum sample sizes in ...
8
Three phase stratified sampling with ratio method of estimation
... Sometimes a survey sampler selects a large sample of units to collect information on certain variables and then select a relatively smaller sample to collect information on main character under study. This is the problem ...
17
Sampling Error Estimation in Stratified Surveys
... Stratified sampling is an appropriate method when several homogeneous and mutually exclusive strata or subpopulations are identified in the ...exhaustive sampling is recommended, ...
13
Adaptive survey designs for sampling rare and clustered populations
... probability sampling designs are appealing when populations are rare and clustered because survey effort can be targeted to subareas of high ...probability sampling offer flexibility for designing a long ...
10
Vol 7, No 5 (2016)
... in sampling theory since the development of the sampling theory and its application to the applied areas of the ...in stratified sampling, measures of sizes in PPS (Probability Proportional to ...
5
Dual to Ratio-Cum-Product Estimator in Simple and Stratified Random Sampling
... New estimators for estimating the finite population mean using two auxiliary variables under simple and stratified sampling design is proposed. Their properties (e.g., mean square error) are studied to the ...
15
Transformed Variables in Survey Sampling
... For all designs, we considered 10 predictors of T. These were the expansion estimator (EE), the ratio estimator (RE), the naïve back-transform predictor (TA), the Karlberg lognormal model-based predictor (TK), the RAST ...
41
Adaptive and unequal probability survey designs for environmental management
... probability sampling can be applied to any sampling ...random sampling, two-stage and stratified ...cluster sampling where the neighborhood is ...
7
A Family of Estimators of a Sensitive Variable Using Auxiliary Information in Stratified Random Sampling
... in stratified random sampling based on randomized response ...usual stratified random sample mean estimator, Sousa et al (2014) ratio and regression estimator of the sensitive variable in ...
15
Adaptive Strategy for Stratified Monte Carlo Sampling
... We consider the problem of stratified sampling for Monte Carlo integration of a random variable. We model this problem in a K-armed bandit, where the arms represent the K strata. The goal is to estimate the ...
41