کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
415624 681218 2007 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Recent asymptotic results in testing for mixtures
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
Recent asymptotic results in testing for mixtures
چکیده انگلیسی

Inferences concerning the number of components in a mixture distribution are often required. These can be performed under the framework of the generalized likelihood ratio test. The classical result giving a chi-squared asymptotic distribution in general does not apply, indeed the limiting distribution of the corresponding test statistic has long remained a mystery. The characterization of the asymptotic distribution in a general setting has been previously derived under a separation condition. The relaxation of the separation condition, the calculation of the percentile points and asymptotic power, both in the case of a bounded and an unbounded parameter set can be obtained. An overview of the very recent asymptotic results in the problem of testing homogeneity against a two-component mixture is provided. Illustrations of new and known results are presented.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 51, Issue 11, 15 July 2007, Pages 5295–5304
نویسندگان
,