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Original Articles

Computations for Variable Selection in Discriminant Analysis

Pages 103-109 | Published online: 09 Apr 2012

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AlvinC. Rencher & StevenF. Larson. (1980) Bias in Wilks' A in Stepwise Discriminant Analysis. Technometrics 22:3, pages 349-356.
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MichaelC. Costanza & A.A. Afifi. (1979) Comparison of Stopping Rules in Forward Stepwise Discriminant Analysis. Journal of the American Statistical Association 74:368, pages 777-785.
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J. D. F. Habbema & J. Hermans. (1977) Selection of Variables in Discriminant Analysis by F-statistic and Error Rate. Technometrics 19:4, pages 487-493.
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Andrea Cappozzo, Ludovic Duponchel, Francesca Greselin & Thomas Brendan Murphy. (2021) Robust variable selection in the framework of classification with label noise and outliers: Applications to spectroscopic data in agri-food. Analytica Chimica Acta 1153, pages 338245.
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Kaixiang Peng, Zhihao Ren, Jie Dong & Liang Ma. (2019) A New Hierarchical Framework for Detection and Isolation of Multiple Faults in Complex Industrial Processes. IEEE Access 7, pages 12006-12015.
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Kim Nimon, Linda Reichwein Zientek & Amanda Kraha. 2018. Handbook of Research on Innovative Techniques, Trends, and Analysis for Optimized Research Methods. Handbook of Research on Innovative Techniques, Trends, and Analysis for Optimized Research Methods 322 340 .
Bastian Reinwarth, Jordan K. Miller, Christoph Glotzbach, Kate M. Rowntree & Jussi Baade. (2017) Applying regularized logistic regression (RLR) for the discrimination of sediment facies in reservoirs based on composite fingerprints. Journal of Soils and Sediments 17:6, pages 1777-1795.
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Michael J. Brusco. (2014) A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis. Computational Statistics & Data Analysis 77, pages 38-53.
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Joaquín Pacheco, Silvia Casado & Santiago Porras. (2013) Exact methods for variable selection in principal component analysis: Guide functions and pre-selection. Computational Statistics & Data Analysis 57:1, pages 95-111.
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Michael J. Brusco, Renu Singh & Douglas Steinley. (2009) Variable Neighborhood Search Heuristics for Selecting a Subset of Variables in Principal Component Analysis. Psychometrika 74:4, pages 705-726.
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António Pedro Duarte Silva. (2001) Efficient Variable Screening for Multivariate Analysis. Journal of Multivariate Analysis 76:1, pages 35-62.
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Bruce Thompson. (2016) Stepwise Regression and Stepwise Discriminant Analysis Need Not Apply here: A Guidelines Editorial. Educational and Psychological Measurement 55:4, pages 525-534.
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John D. Morris & Alice Meshbane. (2016) Selecting Predictor Variables in Two-Group Classification Problems. Educational and Psychological Measurement 55:3, pages 438-441.
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Ravinder Nath & Thomas W. Jones. (2007) A Variable Selection Criterion in the Linear Programming Approaches to Discriminant Analysis*. Decision Sciences 19:3, pages 554-563.
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Jonathan N. Goodrich. (2018) Book Review: Design, Data & Analysis by Some Friends of Cuthbert Daniel. Journal of Marketing Research 25:2, pages 215-216.
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Helge Erik Solberg, Sverre Skrede & Kjell Rootwelt. (1982) The Use of Discriminant Analysis and Other Multivariate Statistical Methods for the Identification of Efficient Combinations of Laboratory Tests. Clinics in Laboratory Medicine 2:4, pages 735-750.
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J. J. Beauchamp, C. L. Begovich, V. E. Kane & D. A. Wolf. (1980) Application of discriminant analysis and generalized distance measures to uranium exploration. Journal of the International Association for Mathematical Geology 12:6, pages 539-558.
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Willem Schaafsma & Gerrit N. van Vark. (2008) Classification and Discrimination Problems with Applications, Part IIa. Statistica Neerlandica 33:2, pages 91-126.
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T. B. Farver & O. J. Dunn. (2007) Stepwise Variable Selection in Classification Problems. Biometrical Journal 21:2, pages 145-153.
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