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REGRESYON ANALİZİNDE BAĞIMSIZ DEĞİŞKENLERİN BELİRLENMESİNİ SAĞLAYAN ALGORİTMALAR

Year 1996, Volume: 1 Issue: 5, 49 - 54, 01.06.1996
https://doi.org/10.14783/maruoneri.703374

Abstract

In this paper, we discussed algorithms for selecting independent variables from a larger group of candidates in regression analyses. We described the following four methods for composing predictor sets: i-Backward elimination of variables, ii- All possibie regressions, iii-Forward selection of variables, iv-Stepwise regression selection. These methods can be applied by using Computer.

References

  • [1] Serper, Ö., ve Gürsakal, N., Araştırma Yöntemleri, Filiz Kitapevi, İstanbul, 1989.
  • [2] Bağırkan, Ş., İstatiksel Analiz. Şampiyonlar Baskı ve Yayın Organizasyonu, İstanbul, 1978.
  • [3] Bağırkan. Ş., İstatistiğe Giriş, İ.İ.T.İ.A. Nihad Sayar Yayın ve Yardım Vakfı Yayınları No:337/570. İstanbul, 1980.
  • [4] TSP User's Manual Version 7.0, Quantitative Micro Software, Irvine, California. [5] SPSSX User's Guide. Sec. Ed., SPSS İne., Chicago. [6] Morrison, D.F., Applied Linear Statistical Methods, Prentice-Hall. Inc.. Englewood Cliffs, New Jersey, 1983.
  • [7] Draper N. and Smith H., Applied Regression Analysis, John Wiley &Sons, New York, 1966.
  • [8] Neter, J., Wasserman, W., Kutner, M. H., Applied Linear Statistical Models, Third Ed., Richard D. Irwin, Inc.. Boston, 1990.
  • [9] Serper. Ö., Uygulamalı istatistik-1, Filiz Kitapevi, İstanbul, 1985.
  • [10] Hald. A., Statistical Theoıy with Enğineering Applications, John Wi!ey &Sons, Inc.,New York, 1962.
  • [11] Ostle, B. & Malone, L.C., Statistics İn Research: Basic Concepts and Techniques for Research Workers, Fourth Ed. Iowa State University Press/Ames, Iowa, 1988.
  • [12] McClave, J.T., and Benson P.G., Statistics for Business and Economics, Fifth Ed., Maxwell Macmillian International Editions, Singapore, 1991.
Year 1996, Volume: 1 Issue: 5, 49 - 54, 01.06.1996
https://doi.org/10.14783/maruoneri.703374

Abstract

References

  • [1] Serper, Ö., ve Gürsakal, N., Araştırma Yöntemleri, Filiz Kitapevi, İstanbul, 1989.
  • [2] Bağırkan, Ş., İstatiksel Analiz. Şampiyonlar Baskı ve Yayın Organizasyonu, İstanbul, 1978.
  • [3] Bağırkan. Ş., İstatistiğe Giriş, İ.İ.T.İ.A. Nihad Sayar Yayın ve Yardım Vakfı Yayınları No:337/570. İstanbul, 1980.
  • [4] TSP User's Manual Version 7.0, Quantitative Micro Software, Irvine, California. [5] SPSSX User's Guide. Sec. Ed., SPSS İne., Chicago. [6] Morrison, D.F., Applied Linear Statistical Methods, Prentice-Hall. Inc.. Englewood Cliffs, New Jersey, 1983.
  • [7] Draper N. and Smith H., Applied Regression Analysis, John Wiley &Sons, New York, 1966.
  • [8] Neter, J., Wasserman, W., Kutner, M. H., Applied Linear Statistical Models, Third Ed., Richard D. Irwin, Inc.. Boston, 1990.
  • [9] Serper. Ö., Uygulamalı istatistik-1, Filiz Kitapevi, İstanbul, 1985.
  • [10] Hald. A., Statistical Theoıy with Enğineering Applications, John Wi!ey &Sons, Inc.,New York, 1962.
  • [11] Ostle, B. & Malone, L.C., Statistics İn Research: Basic Concepts and Techniques for Research Workers, Fourth Ed. Iowa State University Press/Ames, Iowa, 1988.
  • [12] McClave, J.T., and Benson P.G., Statistics for Business and Economics, Fifth Ed., Maxwell Macmillian International Editions, Singapore, 1991.
There are 10 citations in total.

Details

Primary Language Turkish
Journal Section Eski Sayılar
Authors

Ümit Oktay Fırat This is me

Publication Date June 1, 1996
Published in Issue Year 1996 Volume: 1 Issue: 5

Cite

APA Oktay Fırat, Ü. (1996). REGRESYON ANALİZİNDE BAĞIMSIZ DEĞİŞKENLERİN BELİRLENMESİNİ SAĞLAYAN ALGORİTMALAR. Öneri Dergisi, 1(5), 49-54. https://doi.org/10.14783/maruoneri.703374

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Öneri

Marmara UniversityInstitute of Social Sciences

Göztepe Kampüsü Enstitüler Binası Kat:5 34722  Kadıköy/İstanbul

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