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Research article

First published 2018

Approaches to select suitable subset of explanatory variables for establishing fuzzy regression models

Liang-Hsuan Chen, Chia-Jung Chang

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2000-3

Interval Partial Least-Squares Regression ( i PLS): A Comparative Chemometric Study with an Example from Near-Infrared Spectroscopy

L. Nørgaard, A. Saudland, J. Wagner [...]

Applied Spectroscopy

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Research article

First published 2012-7

Internal combustion engine valve clearance fault classification using multivariate analysis of variance and discriminant analysis

Ezzeddine Ftoutou, Mnaouar Chouchane, Noureddine Besbès

Transactions of the Institute of Measurement and Control

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Research article

First published 1962-07

Utilizing the Stepwise Multiple Regression Procedure in Selecting Predictor Variables by Sex Group

John W. Lewis

Educational and Psychological Measurement

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Research article

First published 2024-7

Selecting independent variables in the hedonic analysis of hotel rooms

Pandelis Mitsis

Journal of Vacation Marketing

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Research article

First published 2016-1

Variable selection using support vector regression and random forests: A comparative study

Anis Ben Ishak

Intelligent Data Analysis: An International Journal

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Editorial

First published 1995-08

Stepwise Regression and Stepwise Discriminant Analysis Need Not Apply here: A Guidelines Editorial

Bruce Thompson

Educational and Psychological Measurement

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Research article

First published 2002-10

Simple Multivariate Approach for the Monitoring of Vinylation Reactions Using FT-Raman Spectroscopy

Didier A. A. Hutsebaut, Carl Vercaemst, Chris Hugelier [...]

Applied Spectroscopy

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Research article

First published 1974-04

Variable Selection Technique for Classification Problems

C.I. Henschke, M.M. Chen

Educational and Psychological Measurement

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Research article

First published 1981-12

Log-Linear Modelling of Geographical Contingency Tables

B Fingleton

Environment and Planning A: Economy and Space

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