FLEXIBLE DISCRIMINANT ANALYSIS VIA NONPARAMETRIC REGRESSION

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MOHAMMADZADEH M.; HOOMAN A.

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Paper Information

Journal: RESEARCH JOURNAL OF UNIVERSITY OF ISFAHAN "SCIENCE" Year:2008 | Volume:33 | Issue:4 Page(s): 15-26

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Information Journal Paper

Title

FLEXIBLE DISCRIMINANT ANALYSIS VIA NONPARAMETRIC REGRESSION

Author(s)

MOHAMMADZADEH M. | HOOMAN A. | Issue Writer Certificate

Keywords

DISCRIMINATE ANALYSISQ3

FLEXIBLE DISCRIMINATE ANALYSISQ3

NONPARAMETRIC REGRESSIONQ3

Abstract

Discriminant analysis is a way for classification of one object or a group to one or more separate groups that are known or unknown. in scientific researches we often use linear or quadratic functions for classification. But in this paper, we suggest a nonlinear discrimination method that uses two nonparametric.regression methods, namely multivariate adaptive regression splines and adaptive additive model in a simulation study, we investigate the application way of proposed methods and comparing them with the ordinary nonlinear discrimination methods via their means of error rates.

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APA: Copy

MOHAMMADZADEH, M., & HOOMAN, A.. (2008). FLEXIBLE DISCRIMINANT ANALYSIS VIA NONPARAMETRIC REGRESSION. RESEARCH JOURNAL OF UNIVERSITY OF ISFAHAN "SCIENCE", 33(4), 15-26. SID. https://sid.ir/paper/56022/en

Vancouver: Copy

MOHAMMADZADEH M., HOOMAN A.. FLEXIBLE DISCRIMINANT ANALYSIS VIA NONPARAMETRIC REGRESSION. RESEARCH JOURNAL OF UNIVERSITY OF ISFAHAN "SCIENCE"[Internet]. 2008;33(4):15-26. Available from: https://sid.ir/paper/56022/en

IEEE: Copy

M. MOHAMMADZADEH, and A. HOOMAN, “FLEXIBLE DISCRIMINANT ANALYSIS VIA NONPARAMETRIC REGRESSION,” RESEARCH JOURNAL OF UNIVERSITY OF ISFAHAN "SCIENCE", vol. 33, no. 4, pp. 15–26, 2008, [Online]. Available: https://sid.ir/paper/56022/en

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