کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1141005 956757 2009 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Bootstrapping divergence statistics for testing homogeneity in multinomial populations
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
Bootstrapping divergence statistics for testing homogeneity in multinomial populations
چکیده انگلیسی

We consider the problem of testing the equality of νν (ν≥2ν≥2) multinomial populations, taking as test statistic a sample version of an f-dissimilarity between the populations, obtained by the replacement of the unknown parameters in the expression of the f-dissimilarity among the theoretical populations, by their maximum likelihood estimators. The null distribution of this test statistic is usually approximated by its limit, the asymptotic null distribution. Here we study another way to approximate it, the bootstrap. We show that the bootstrap yields a consistent distribution estimator. We also study by simulation the finite sample performance of the bootstrap distribution and compare it with the asymptotic approximation. From the simulations it can be concluded that it is worth calculating the bootstrap estimator, because it is more accurate than the approximation yielded by the asymptotic null distribution which, in addition, cannot always be exactly computed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mathematics and Computers in Simulation - Volume 79, Issue 12, August 2009, Pages 3375–3384
نویسندگان
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