One of the main applications of statistical smoothing techniques is nonparametric regression. For the last 15 years there has been a strong theoretical interest in the development of such techniques. Related algorithmic concepts have been a main concern in computational statistics. Smoothing techniques in regression as well as other statistical methods are increasingly applied in biosciences and economics. But they are also relevant for medical and psychological research. Introduced are new developments in scatterplot smoothing and applications in statistical modelling. The treatment of the topics is on an intermediate level avoiding too much technicalities. Computational and applied aspects are considered throughout. Of particular interest to readers is the discussion of recent local fitting techniques.
Wolfgang Hardle & Michael Schimek
Statistical Theory and Computational Aspects of Smoothing [PDF ebook]
Proceedings of the COMPSTAT ’94 Satellite Meeting held in Semmering, Austria, 27-28 August 1994
Statistical Theory and Computational Aspects of Smoothing [PDF ebook]
Proceedings of the COMPSTAT ’94 Satellite Meeting held in Semmering, Austria, 27-28 August 1994
قم بشراء هذا الكتاب الإلكتروني واحصل على كتاب آخر مجانًا!
لغة الإنجليزية ● شكل PDF ● ISBN 9783642484254 ● محرر Wolfgang Hardle & Michael Schimek ● الناشر Physica-Verlag HD ● نشرت 2013 ● للتحميل 3 مرات ● دقة EUR ● هوية شخصية 6379029 ● حماية النسخ Adobe DRM
يتطلب قارئ الكتاب الاليكتروني قادرة DRM