Reduction of the curvature of a class of nonlinear regression models

被引：0

作者：

Wu, Yi

Yi, Dongyun

机构：

来源：

| 2000年 / Gordon & Breach Science Publ Inc, Newark, NJ, USA卷 / 43期

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

It is proved that the curvature of nonlinear model can be reduced to zero by increasing measured data for a class of nonlinear regression models. The result is important to actual problem and has obtained satisfying effect on data fusing.

引用

共 50 条

[41] Robust inference for nonlinear regression models
Ana M. Bianco
Paula M. Spano
TEST, 2019, 28 : 369 - 398
[42] Computing τ-estimate for nonlinear regression models
Yang, Biao
Han, Liang
Wu, Juan
International Journal of Advancements in Computing Technology, 2012, 4 (20) : 675 - 683
[43] Input selection for nonlinear regression models
Sindelár, R
Babuska, R
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2004, 12 (05) : 688 - 696
[44] A consistent estimator for nonlinear regression models
Baran, S
METRIKA, 2005, 62 (01) : 1 - 15
[45] NONLINEAR MIXED REGRESSION-MODELS
BURNETT, RT
ROSS, WH
KREWSKI, D
ENVIRONMETRICS, 1995, 6 (01) : 85 - 99
[46] A consistent estimator for nonlinear regression models
S. Baran
Metrika, 2005, 62 : 1 - 15
[47] Model reduction for prediction in regression models
Helland, IS
SCANDINAVIAN JOURNAL OF STATISTICS, 2000, 27 (01) : 1 - 20
[48] Model reduction for a class of nonlinear systems
Wang Jing
Huang Lin
PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 2, 2007, : 390 - +
[49] Nonlinear surface regression with dimension reduction method
Yoshida, Takuma
ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2017, 101 (01) : 29 - 50
[50] Nonlinear surface regression with dimension reduction method
Takuma Yoshida
AStA Advances in Statistical Analysis, 2017, 101 : 29 - 50

← 1 2 3 4 5 →