کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4945198 | 1438414 | 2017 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
On the testability of coarsening assumptions: A hypothesis test for subgroup independence
ترجمه فارسی عنوان
بر پایه فرضیه های سخت افزاری: آزمون فرضیه ای برای استقلال زیرگروه
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Since coarse(ned) data naturally induce set-valued estimators, analysts often assume coarsening at random (CAR) to force them to be single-valued. Focusing on a coarse categorical response variable and a precisely observed categorical covariate, we first re-illustrate the impossibility to test CAR and then contrast it to another type of coarsening called subgroup independence (SI). It turns out that - depending on the number of subgroups and categories of the response variable - SI can be point-identifying as CAR, but testable unlike CAR. A main goal of this paper is the construction of the likelihood-ratio test for SI. All issues are similarly investigated for the here proposed generalized versions, gCAR and gSI, thus allowing a more flexible application of this hypothesis test. The results are illustrated by the data of the German Panel Study “Labour Market and Social Security” (PASS).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Approximate Reasoning - Volume 90, November 2017, Pages 292-306
Journal: International Journal of Approximate Reasoning - Volume 90, November 2017, Pages 292-306
نویسندگان
J. Plass, M. Cattaneo, G. Schollmeyer, T. Augustin,