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Journal of Statistical Computation and Simulation Volume 17, 1983 - Issue 3
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Original Articles

Selection of variables in linear regression: a pragmatic approach

Subhash C. Narula Rensselaer Polytechnic Institute Troy, New York
&
John F. Wellington The Behrend College, Pennsylvania State University, Erie, Pennsylvania
Pages 159-172 | Published online: 20 Mar 2007

Citations (5)

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Read on this site (1)

Subhash C. Narula. (1987) The Minimum Sum of Absolute Errors Regression. Journal of Quality Technology 19:1, pages 37-45.
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Articles from other publishers (4)

Carmen D. S. André, Subhash C. Narula, Silvia N. Elian & Rodrigo A. Tavares. (2003) An overview of the variables selection methods for the minimum sum of absolute errors regression. Statistics in Medicine 22:13, pages 2101-2111.
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Subhash C. Narula, Paulo H. N. Saldiva, Carmen D. S. Andre, Silvia N. Elian, Aurea Favero Ferreira & Vera Capelozzi. (1999) The minimum sum of absolute errors regression: a robust alternative to the least squares regression. Statistics in Medicine 18:11, pages 1401-1417.
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Benjamin J. Pernick. (1989) Simultaneous nonlinear regression analysis for n- and k-dispersion data. Applied Optics 28:3, pages 607.
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Subhash C. Narula & John F. Wellington. (1985) A Branch and Bound Procedure for Selection of Variables in Minimax Regression. SIAM Journal on Scientific and Statistical Computing 6:3, pages 573-581.
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