نتایج جستجو برای: stage random sampling method finally

تعداد نتایج: 2564036  

Journal: :Transactions of the Society of Instrument and Control Engineers 1973

Journal: :Journal of the Korean Institute of Illuminating and Electrical Installation Engineers 2011

Journal: :Annual review of public health 2001
R R Frerichs M A Shaheen

Rapid, small surveys are routinely done in much of the developing world but are less common in the United States. We present as an example a rapid survey of immunization status and other factors in a predominantly Hispanic region in Los Angeles. The survey united county employees, students, and community volunteers, first to enumerate the eligible population and then to conduct in-person interv...

Journal: :زن در فرهنگ و هنر 0
داریوش رضاپور مربی، عضو هیئت علمی گروه علوم اجتماعی دانشگاه پیام نور، تهران، ایران حسن چنانی نسب دانشجوی دکتری جامعه شناسی دانشگاه مازندران رحمان باقری مربی، عضو هیئت علمی گروه علوم اجتماعی دانشگاه پیام نور، تهران، ایران

abstract: the purpose of this study is to investigate the relationship between socialization and gender identity between female students from the university of dezful payme noor. the methodology of this study was survey and used a questionnaire. population of this study was all female students at dezful payme noor university and 384 persons determined as the sample size with using lin table. th...

2013
Manoj Kr. Sharma M. V. Ismail

The problems of multivariate sampling arising in the areas of stratified random sampling, two stage sampling, double sampling and response errors formulate as multiobjective convex programming problems with convex objective functions and a single linear constraint with some upper and lower bounds.

Journal: :Simulation Modelling Practice and Theory 2012
Jérôme Morio

In this article, we propose a nonparametric adaptive importance sampling (NAIS) algorithm to estimate rare event quantile. Indeed, Importance Sampling (IS) is a well-known adapted random simulation technique. It consists in generating random weighted samples from an auxiliary distribution rather than the distribution of interest. The optimization of this auxiliary distribution is often very dif...

2016
Chuanlai Yuan Lingshuang Kong Weilong Zhou Huiqin Xiao Gang Chen

This paper presents a stochastic operational optimization method for metallurgical blending processes by focusing on the uncertainty of composition of raw materials, where the stochastic optimization model is firstly formulated by explicitly incorporating uncertain parameters into the constraints as random variables. Then an efficient sampling technique is utilized to construct the expectation ...

2011

The most common and conventional way to collect people’s opinions has always been random sampling and asking several survey questions by phone. For instance, if a news media is interested in how popular Obama is among Americans, it would probably call up a thousand people and ask how they would rate Obama. The data collected in this manner is considered a gold standard; there has been only few ...

2004
Jun XIE Ker-Chau LI Minou BINA Jun Xie

Bayesian models have been developed that Ž nd ungapped motifs in multiple protein sequences. In this article, we extend the model to allow for deletions and insertions in motifs. Direct generalization of the ungapped algorithm, based on Gibbs sampling, proved unsuccessful because the conŽ guration space became much larger. To alleviate the convergence difŽ culty, a two-stage procedure is introd...

2011
Lily Lin

This article develops a method of ratio estimate in fuzzy sense. By both the simple random sampling and stratified random sampling, we can obtain the ratio estimate in usual statistical sense. However, the sampling data may be ambiguous in some uncertain circumstance. To solve such kind of problem, we probe into the simple random sampling and stratified random sampling in fuzzy sense, obtain th...

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