پديد آورنده :
محمدي، محمد
عنوان :
فاصله اطمينان ناپارامتري در طرح هاي نمونه گيري سازوار
گرايش تحصيلي :
آمار كاربردي
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده علوم رياضي
صفحه شمار :
[سيزده]،196ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد راهنما :
محمد صالحي مرزيجراني
استاد مشاور :
هوشنگ طالبي
توصيفگر ها :
نمونه گيري معكوس , بوت استرپ , درستنمايي تجربي , جامعه كمياب , تقريب نرمال
تاريخ نمايه سازي :
29/8/90
استاد داور :
نادر نعمت اللهي، عليرضا نعمت اللهي، سعيد پولادساز
كد ايرانداك :
ID398 دكتري
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Nonparametric Con dence Interval Under Adaptive Sampling Designs Mohammad Mohammadi m mohammadi@math iut ac ir July 2011 Doctor of Philosophy Thesis Department of Mathematical Sciences Isfahan University of Technology Isfahan 84156 83111 Iran Supervisor Professor Mohammad Salehi M salehi m@cc iut ac ir Advisor Dr Hooshang Talebi h talebi@sci ui ac ir Abstract In many sample surveys the population appears to be rare and or geographically clustered Such populations are frequently found in ecology biology and environ mental sciences In such situations the adaptive sampling designs are usually more e cient than conventional designs However the resulted unbiased estimators have often highly skewed distributions This is the case where the normal approximation based con dence intervals based on small samples may lead to unsatisfactory results with poor coverage properties In this thesis we investigate the nonparametric approaches to construct con dence intervals for the population mean under two famous types of adaptive sampling in verse sampling and adaptive cluster sampling We develop the idea of the bootstrap and empirical likelihood methods to mentioned sampling designs and compare their e ciencies with the normal approximation method Keywords Adaptive Cluster Sampling Bootstrap Con dence Interval Empirical Like lihood Finite Population Inverse Sampling Normal approximation Rare Population 1
استاد راهنما :
محمد صالحي مرزيجراني
استاد مشاور :
هوشنگ طالبي
استاد داور :
نادر نعمت اللهي، عليرضا نعمت اللهي، سعيد پولادساز
