Staff Members - Benha University
Self – weighting design for a-stratified sampling
• 2018
Publication Information
Authors
Mohamed Zayed
Keywords
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Pages
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publication.type
International
Paper Link
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Supplementary Materials
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Abstract
يقدم هذا البحث تصميم طبقي ذاتي الترجيح ذو المرحلتين والذي يساعد علي تعظيم عدد وحدات المعاينة النهائية عندما يكون عدد وحدات المعاينة الاوليه صغيرا. والطريقة لتخصيص عدد معين من طبقات الوحدات الأولية التي تزيد من حجم العينة للوحدات النهائية سوف تناقش في هذا البحث
Abstract
The aim of this paper is to introduce a stratified two – stage self – weighting design which maximizes the number of selected ultimate sampling units when the number of primary sampling units is small. A method of allocation of a given number of primary sample units strata, which maximizes the sample size of ultimate units is discussed in this paper.
Abstract
The aim of this paper is to introduce a stratified two – stage self – weighting design which maximizes the number of selected ultimate sampling units when the number of primary sampling units is small. A method of allocation of a given number of primary sample units strata, which maximizes the sample size of ultimate units is discussed in this paper.