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Douglas Steinley & Michael J. Brusco. (2021) On Fixed Marginal Distributions and Psychometric Network Models. Multivariate Behavioral Research 56:2, pages 329-335.
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Jordan E. Loeffelman, Douglas Steinley, Cassandra L. Boness, Timothy J. Trull, Phillip K. Wood, Michael J. Brusco & Kenneth J. Sher. (2021) Combinatorial Optimization of Clustering Decisions: An Approach to Refine Psychiatric Diagnoses. Multivariate Behavioral Research 56:1, pages 57-69.
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Michael J. Brusco, J. Dennis Cradit & Susan Brudvig. (2019) An integrated dominance analysis and dynamic programing approach for measuring predictor importance for customer satisfaction. Communications in Statistics - Theory and Methods 48:21, pages 5290-5307.
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Michael J. Brusco, Clay M. Voorhees, Roger J. Calantone, Michael K. Brady & Douglas Steinley. (2019) Integrating linear discriminant analysis, polynomial basis expansion, and genetic search for two-group classification. Communications in Statistics - Simulation and Computation 48:6, pages 1623-1636.
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Daniel Taylor-Rodriguez, Andrew Womack & Nikolay Bliznyuk. (2016) Bayesian Variable Selection on Model Spaces Constrained by Heredity Conditions. Journal of Computational and Graphical Statistics 25:2, pages 515-535.
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Hoon Ryoo. (2011) Model Selection with the Linear Mixed Model for Longitudinal Data. Multivariate Behavioral Research 46:4, pages 598-624.
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Islamudin Ahmad, Adisya Miftah Syakfanaya, Azminah Azminah, Fadlina Chany Saputri & Abdul Mun'im. (2021) Optimization of betaine-sorbitol natural deep eutectic solvent-based ultrasound-assisted extraction and pancreatic lipase inhibitory activity of chlorogenic acid and caffeine content from robusta green coffee beans. Heliyon 7:8, pages e07702.
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Jaegug Bae, Jung-Tae Kim & Jae-Hwan Kim. (2016) Subset selection in multiple linear regression: An improved Tabu search. Journal of the Korean Society of Marine Engineering 40:2, pages 138-145.
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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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H. Hasan Örkcü. (2013) Subset selection in multiple linear regression models: A hybrid of genetic and simulated annealing algorithms. Applied Mathematics and Computation 219:23, pages 11018-11028.
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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 & Douglas Steinley. (2011) Exact and approximate algorithms for variable selection in linear discriminant analysis. Computational Statistics & Data Analysis 55:1, pages 123-131.
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Dong-Yeob Kim, Sang-Ho Lee, Young-Joo Hong, Eun-Jai Lee & Sang-Jun Im. (2010) The Determination of Probability Distributions of Annual, Seasonal and Monthly Precipitation in Korea. Korean Journal of Agricultural and Forest Meteorology 12:2, pages 83-94.
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Michael J. Brusco & Douglas Steinley. (2009) Neighborhood search heuristics for selecting hierarchically well‐formulated subsets in polynomial regression. Naval Research Logistics (NRL) 57:1, pages 33-44.
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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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