کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4642349 | 1341339 | 2008 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Analysis of variance and linear contrasts in experimental design with generalized secant hyperbolic distribution
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Analysis of variance and linear contrasts in experimental design with generalized secant hyperbolic distribution Analysis of variance and linear contrasts in experimental design with generalized secant hyperbolic distribution](/preview/png/4642349.png)
چکیده انگلیسی
We consider one-way classification model in experimental design when the errors have generalized secant hyperbolic distribution. We obtain efficient and robust estimators for block effects by using the modified maximum likelihood estimation (MML) methodology. A test statistic analogous to the normal-theory F statistic is defined to test block effects. We also define a test statistic for testing linear contrasts. It is shown that test statistics based on MML estimators are efficient and robust. The methodology readily extends to unbalanced designs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational and Applied Mathematics - Volume 216, Issue 2, 1 July 2008, Pages 545–553
Journal: Journal of Computational and Applied Mathematics - Volume 216, Issue 2, 1 July 2008, Pages 545–553
نویسندگان
Yildiz E. Yilmaz, Aysen D. Akkaya,