Academic Journal

Brazilian Journal of Probability and Statistics (2004), 18, pp. 183–200. c©Associação Brasileira de Estat́ıstica Robust M-procedures in univariate nonlinear regression

التفاصيل البيبلوغرافية
العنوان: Brazilian Journal of Probability and Statistics (2004), 18, pp. 183–200. c©Associação Brasileira de Estat́ıstica Robust M-procedures in univariate nonlinear regression
المؤلفون: Antonio I. Sanhueza, Pranab K. Sen
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://www.redeabe.org.br/bjpspublishedpapers_volume18_2_pp183-200.pdf.
المجموعة: CiteSeerX
الوصف: In univariate nonlinear regression models, estimator and test statistics based on (generalized) least squares and maximum likelihood meth-ods are usually nonrobust; M-procedures are better in this respect. Our proposed M-estimators, and M-tests are formulated along the lines of gener-alized least squares procedures and their (asymptotic) properties are studied. Computational algorithms are also considered along with. Key words: Asymptotic normality, efficiency, M-estimators, M-tests, uniform asymptotic linearity. 1
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.525.1881; http://www.redeabe.org.br/bjpspublishedpapers_volume18_2_pp183-200.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.525.1881
http://www.redeabe.org.br/bjpspublishedpapers_volume18_2_pp183-200.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.2987EA5B
قاعدة البيانات: BASE