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	The wavelet identification for jump points of derivative in regression model
	Luan, YH ; Xie, ZJ
	2001
关键词	wavelets scale function derivative stationary jump NONPARAMETRIC REGRESSION ESTIMATORS
英文摘要	A method is proposed to detect the number, locations and heights of jump points of the derivative in the regressive model n(i) = f(xi (i)) + epsilon (i), by checking if the empirical indirect wavelet coefficients of data have significantly large absolute values across fine scale levels. The consistency of the estimators is established and practical implementation is discussed. Some simulation examples are given to test our method. (C) 2001 Elsevier Science B.V. All rights reserved.; Statistics & Probability; SCI(E); 5; ARTICLE; 2; 167-180; 53
语种	英语
出处	SCI
出版者	statistics probability letters
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/247307]
专题	数学科学学院
推荐引用方式 GB/T 7714	Luan, YH,Xie, ZJ. The wavelet identification for jump points of derivative in regression model. 2001-01-01.

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