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Volumn 30, Issue 4, 1996, Pages 839-849

Genetic subsets regression

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMBINATORIAL MATHEMATICS; REGRESSION ANALYSIS; SET THEORY;

EID: 0030243845     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/0360-8352(95)00182-4     Document Type: Article
Times cited : (11)

References (18)
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  • 3
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    • Comparing subset regression procedures
    • K. N. Berk. Comparing subset regression procedures. Technometrics 20, 1-6 (1978).
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  • 4
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    • Regressions by leaps and bounds
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    • Furnival, G.M.1    Wilson, R.W.2
  • 5
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    • Statistical Sciences Inc., Seattle, WA
    • S-Plus User's Manual. Statistical Sciences Inc., Seattle, WA (1991).
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  • 6
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    • All subsets regression using a genetic search algorithm
    • G. S. Wasserman and A. Sudjianto. All subsets regression using a genetic search algorithm. Computers ind. Engng 27, 489-492 (1994).
    • (1994) Computers Ind. Engng , vol.27 , pp. 489-492
    • Wasserman, G.S.1    Sudjianto, A.2
  • 9
    • 70349119250 scopus 로고
    • Regression and time series model selection in small samples
    • C. M. Hurvich and C. L. Tsai. Regression and time series model selection in small samples. Biometrika 76, 297-307 (1989).
    • (1989) Biometrika , vol.76 , pp. 297-307
    • Hurvich, C.M.1    Tsai, C.L.2
  • 11
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    • Designed experiments
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    • William, K.R.1
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    • (1993) Technometrics , vol.35 , pp. 28-31
    • Lin, D.K.J.1
  • 13
    • 0001650502 scopus 로고
    • Sizing populations for serial and parallel genetic algorithms
    • Edited by B. P. Buckles and F. E. Petry, IEEE Computer Society
    • D. E. Goldberg. Sizing populations for serial and parallel genetic algorithms. Genetic Algorithms (Edited by B. P. Buckles and F. E. Petry), pp. 20-29. IEEE Computer Society (1992).
    • (1992) Genetic Algorithms , pp. 20-29
    • Goldberg, D.E.1
  • 14
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    • Improving search in genetic algorithms
    • Edited by L. Davis, Morgan Kaufman
    • L. Booker. Improving search in genetic algorithms. Genetic Algorithms and Simulated Annealing (Edited by L. Davis), pp. 61-73, Morgan Kaufman (1987).
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  • 15
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    • Asymptotically efficient selection of the order of the model for estimating parameters of a linear process
    • R. Shibata. Asymptotically efficient selection of the order of the model for estimating parameters of a linear process. Annls Statist. 8, 147-164 (1980).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.