کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1146178 | 957498 | 2010 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
On connectivity of fibers with positive marginals in multiple logistic regression
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موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
آنالیز عددی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: On connectivity of fibers with positive marginals in multiple logistic regression On connectivity of fibers with positive marginals in multiple logistic regression](/preview/png/1146178.png)
چکیده انگلیسی
In this paper we consider exact tests of a multiple logistic regression with categorical covariates via Markov bases. In many applications of multiple logistic regression, the sample size is positive for each combination of levels of the covariates. In this case we do not need a whole Markov basis, which guarantees connectivity of all fibers. We first give an explicit Markov basis for multiple Poisson regression. By the Lawrence lifting of this basis, in the case of bivariate logistic regression, we show a simple subset of the Markov basis which connects all fibers with a positive sample size for each combination of levels of covariates.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Multivariate Analysis - Volume 101, Issue 4, April 2010, Pages 909–925
Journal: Journal of Multivariate Analysis - Volume 101, Issue 4, April 2010, Pages 909–925
نویسندگان
Hisayuki Hara, Akimichi Takemura, Ruriko Yoshida,