Optimum Allocation of Multi-Items in Stratified Random Sampling Using Principal Component Analysis
نویسندگان
چکیده
منابع مشابه
Multivariate Multi-Objective Allocation in Stratified Random Sampling: A Game Theoretic Approach
We consider the problem of multivariate multi-objective allocation where no or limited information is available within the stratum variance. Results show that a game theoretic approach (based on weighted goal programming) can be applied to sample size allocation problems. We use simulation technique to determine payoff matrix and to solve a minimax game.
متن کاملStratified Median Ranked Set Sampling: Optimum and Proportional Allocations
In this paper, for the Stratified Median Ranked Set Sampling (SMRSS), proposed by Ibrahim et al. (2010), we examine the proportional and optimum sample allocations that are two well-known methods for sample allocation in stratified sampling. We show that the variances of the mean estimators of a symmetric population in SMRSS using optimum and proportional allocations to strata are smaller than ...
متن کاملMembership-set Estimation Using Random Scanning and Principal Component Analysis
A set-theoretic approach to parameter estimation based on the bounded-error concept is an appropriate choice when incomplete knowledge of observation error statistics and unavoidable structural model error invalidate the presuppositions of stochastic methods. Within this class the estimation of non-linear-in-theparameters models is examined. This situation frequently occurs in modelling natural...
متن کاملAn Integer Programming Formulation Applied to Optimum Allocation in Multivariate Stratified Sampling
The problem of optimal allocation of samples in surveys using a stratified sampling plan was first discussed by Neyman in 1934. Since then, many researchers have studied the problem of the sample allocation in multivariate surveys and several methods have been proposed. Basically, these methods are divided into two class: The first involves forming a weighted average of the stratum variances an...
متن کاملAdaptive optimal allocation in stratified sampling methods
In this paper, we propose a stratified sampling algorithm in which the random drawings made in the strata to compute the expectation of interest are also used to adaptively modify the proportion of further drawings in each stratum. These proportions converge to the optimal allocation in terms of variance reduction. And our stratified estimator is asymptotically normal with asymptotic variance e...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: American Journal of Theoretical and Applied Statistics
سال: 2013
ISSN: 2326-8999
DOI: 10.11648/j.ajtas.20130205.14