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:: Volume 23, Issue 1 (9-2012) ::
مجله‌ی بررسی‌ها 2012, 23(1): 55-81 Back to browse issues page
Studying of the Effect of Various Factors on the Amount of Wheat Harvest Using Multilevel Regression Model
A Gheitouli * , A Hoseininasab
Abstract:   (3549 Views)

Wheat is a major product, grown under irrigation and dry, which has a vital role in human nutrition by contributing to food pattern of 75 percent of world’s population. Before 1383, Iran was known as an importer of wheat but in 1383 became self-sufficient. In this article at first, the two-level models, the estimations of parameters’ using maximum likelihood (full and restricted) and bootstrap (parametric and nonparametric) methods and bootstrap confidence intervals for these models are described briefly. Thus, the effects of various factors on amount of wheat harvest using two-level model are discussed.

Keywords: Wheat, multilevel model, maximum likelihood, bootstrap methods, bootstrap confidence intervals
Full-Text [PDF 919 kb]   (3841 Downloads)    
Type of Study: Research | Subject: General
Received: 2015/12/23 | Accepted: 2015/12/23 | Published: 2015/12/23
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Gheitouli A, Hoseininasab A. Studying of the Effect of Various Factors on the Amount of Wheat Harvest Using Multilevel Regression Model. مجله‌ی بررسی‌ها 2012; 23 (1) :55-81
URL: http://ijoss.srtc.ac.ir/article-1-53-en.html

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 23, Issue 1 (9-2012) Back to browse issues page
مجله‌ی بررسی‌های آمار رسمی ایران Ijoss Iranian Journal of Official Statistics Studies
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