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Volumn 22, Issue 1, 1980, Pages 49-53

Inflation of r2 in best subset regression

Author keywords

Monte Carlo; Multiple correlation coefficient; Regression; Stepwise regression; Subset selection

Indexed keywords

STATISTICAL METHODS;

EID: 0018983267     PISSN: 00401706     EISSN: 15372723     Source Type: Journal    
DOI: 10.1080/00401706.1980.10486100     Document Type: Article
Times cited : (177)

References (14)
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  • 2
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    • Correlation of gas chromatographic profiles and organoleptic scores of different fats and oils after simulated deep fat frying
    • BLUMENTHAL, M. M., TROUT, J. R., and CHANG, S. S. (1975). Correlation of gas chromatographic profiles and organoleptic scores of different fats and oils after simulated deep fat frying. Journal of the American Oil Chemists’ Society, 53, 496501.
    • (1975) Journal of the American Oil Chemists’ Society , vol.53 , pp. 496501
    • Blumenthal, M.M.1    Trout, J.R.2    Chang, S.S.3
  • 3
    • 0016062127 scopus 로고
    • Approximating the distribution of the sample R2 in best subset regressions
    • DIEHR, G. and HOFLIN, D. R. (1974). Approximating the distribution of the sample R2 in best subset regressions. Technometrics, 16, 317-321.
    • (1974) Technometrics , vol.16 , pp. 317-321
    • Diehr, G.1    Hoflin, D.R.2
  • 5
    • 0001878035 scopus 로고
    • Multiple regression analysis
    • by A. Ralston and, H. S. Wilf, New York: John Wiley & Sons
    • EFROYMSON, M. A. (1960). Multiple regression analysis. Mathematical Methods for Digital Computers, ed. by A. Ralston and H. S. Wilf, pp. 191-203. New York: John Wiley & Sons.
    • (1960) Mathematical Methods for Digital Computers , pp. 191-203
    • Efroymson, M.A.1
  • 6
    • 0345944613 scopus 로고
    • Regressions by leaps and bounds
    • FURNIVAL, G. M. and WILSON, R. W„ JR. (1974). Regressions by leaps and bounds. Technometrics, 8, 27-51.
    • (1974) Technometrics , vol.8 , pp. 27-51
    • Furnival, G.M.1    Wilson, R.2
  • 7
    • 84952153220 scopus 로고
    • Selection of variables for fitting equations to data
    • GORMAN, J. W. and TOMAN, R. J. (1966). Selection of variables for fitting equations to data. Technometrics, 16, 499-511.
    • (1966) Technometrics , vol.16 , pp. 499-511
    • Gorman, J.W.1    Toman, R.J.2
  • 9
    • 84946633097 scopus 로고
    • Selection of the best subset in regression analysis
    • HOCKING, R. R. and LESLIE, R. N. (1967). Selection of the best subset in regression analysis. Technometrics, 9, 531-540.
    • (1967) Technometrics , vol.9 , pp. 531-540
    • Hocking, R.R.1    Leslie, R.N.2
  • 10
    • 0017280570 scopus 로고
    • The analysis and selection of variables in linear regression
    • HOCKING, R. R. (1976). The analysis and selection of variables in linear regression. Biometrics, 32, 1-49.
    • (1976) Biometrics , vol.32 , pp. 1-49
    • Hocking, R.R.1
  • 13
    • 0015342575 scopus 로고
    • The use of an F-statistic in stepwise regression procedures
    • POPE, P. T. and WEBSTER, J. T. (1972). The use of an F-statistic in stepwise regression procedures. Technometrics, 14, 327-340.
    • (1972) Technometrics , vol.14 , pp. 327-340
    • Pope, P.T.1    Webster, J.T.2
  • 14
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    • Letter to the Editor
    • ZIRPHILE, J. (1975). Letter to the Editor. Technometrics, 17, 145.
    • (1975) Technometrics , vol.17 , pp. 145
    • Zirphile, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.