کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
415361 | 681202 | 2008 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A new approach of goodness-of-fit testing for exponentiated laws applied to the generalized Rayleigh distribution
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A new approach of goodness-of-fit testing for exponentiated laws applied to the generalized Rayleigh distribution A new approach of goodness-of-fit testing for exponentiated laws applied to the generalized Rayleigh distribution](/preview/png/415361.png)
چکیده انگلیسی
Goodness-of-fit statistics are considered which are appropriate for generalized families of distributions, resulting from exponentiation. The tests employ a variation of the data determined by the cumulative distribution function of the corresponding non-generalized distribution. The resulting test, which makes use of the Mellin transform of the transformed data, is shown to be consistent. Simulation results for the case of the generalized Rayleigh distribution show that the proposed test compares well with standard methods based on the empirical distribution function.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 52, Issue 5, 20 January 2008, Pages 2496–2503
Journal: Computational Statistics & Data Analysis - Volume 52, Issue 5, 20 January 2008, Pages 2496–2503
نویسندگان
Simos G. Meintanis,