AKTAŞ, R.I KARACAER, S.I KARACABEY, A.A. (2001), "Mali Oranlar Arasındaki ilişkilerin Faktör Analizi ile incelenmesi," .Muhasebe Bilim Dünyası Dergisi, CHt 3, Sayı 1: 9-28.
ALTMAN, E.I.INELSON, A.D. (1968), ~'Financial Ratios, Diseriminant Analysis and the Predietion of Corporate Bankruptey," Journal of Finance, 23: 589-609.
ASPAROUKHOV, O.K/STAM, A. (1997), "Mathematieal Programming Formulations for Two-group Classifieation with Binary Variables," Annals of Operations Research, 74:89.112.
BARNES, P. (1987), "The Analysis and Use of Finanejal Ratios: A Review Article," Journal of Business FinanceEtAccounting: 449-461.
CANBAŞ, s./ÇABUK, A.,/KILlÇ, S.B. (2004), "Predietion of Commercial Bank Failure via Multivariate Statistieal Analysis of Finaneial Struetures: The Turkish Case," European Journal of Operational Resarch (Article in Press).
FREED, N.lGLOVER, F. (1981a), "A Linear Programming Approaeh to the Diseriminant Problem," Decision Sciences, 12: 68-74.
FREED, N.lGLOVER, F. (1981b), "Simple but Powerful Goal Programming Formulations for the Discriminant Problem," European Journal of Operational Resarch, 7: 44-60.
GLOVER, F. (1990), "Improved Linear Programming Models for Diseriminant Analysis," Decision Sciences, 21: 771-785.
GUPTA, Y./R. RAO, BAGCHI, P. (1990), "Linear Goal Programming as an Alternative to Multivariate Diseriminant Analysis," Journol of Business Finance and Accounting, 17: 593-598.
HORRIGAN, J.O. (1965), "Some Emprieal Bases of Finaneial Ratio Analysis," Accounting Review, 558-568.
JOHNSON, W.B. (1978), "The Cross Sectional of Finaneial Patterns," Journal of Business financeEtAccounting, 207-214.
KARACABEY, A.A. (2003), "Matematiksel Programlama ile Sınıflandırma," Savunma Bi/imleri Dergisi, VoL.2, No:1.
KLINE, P. (1994), An Easy Guide to Factor Analysis (London: Routledge).
KONNO, H.lKOBAYASHI, H. (2000), "FaHure Diserimination and Rating of Enterprises by Semidefinite Programming," Asia-Pacific Financial Markets, 7: 261-273.
LOUCOPOULOS, C./PAVUR, R. (1997), "Experimental Evaluation of the Classificatory Performance of Mathematical Programming Approaches to the Three-group Discriminant Problem: the Case of Small Samples," Annals of Operations Research, 191-209.
LAURENT, C.R. (1979), "Improving the Effieieney and Effeetiveness of Finaneial Ratio Analysis," Journal of Business FinanceEtAccounting, 401-413.
MEAR, R./M.FIRTH, M. (1986), " A Note on the Finanejal Variable and Ratio Strueture of New Zealand Listed Companies," Accounting and Finance, 47-56.
PINCHES, G.E.I MINGO, K.A. (1973), "A Multivariate Analysis of Industrial Bond Ratings," Journal of Finance, 1-1.
RAGSDALE, C./STAM, A. (1991), "Mathematieal Programming Formulations for the Discriminant Problem: an Old Dog does New Trieks," Decision Sciences, 22: 296-306.
SUEYOSHI, T. (1999), "DEA-Diseriminant Analysis in the View of Goal Programming," European Journal of Operational Research, 115: 564-582.
SUEYOSHI, T. (2001), "Extended DEA- Diseriminant Analysis," European Journal of Operattonal Research, 131: 324-352.
SUEYOSHI, T. (2004), "Mixed Integer Programming Approaeh of Extended DEA-Discriminant Analysis," European Journal of Operattona/ Research, 152: 45.55.
WALLlN, J.lSUNDGREN,S. (1995), "Using Linear Programming to Predict BusinessFailure: An Empirical Study," NAN Research Papers, http://accounting. rutgers.edul NAN/Papersl .
ZAVGREN,C.V. (1983), "The Prediction of Corporate Failure: the State of the Art," Journalaf Accounting Literature, 1-18 .
AKTAŞ, R.I KARACAER, S.I KARACABEY, A.A. (2001), "Mali Oranlar Arasındaki ilişkilerin Faktör Analizi ile incelenmesi," .Muhasebe Bilim Dünyası Dergisi, CHt 3, Sayı 1: 9-28.
ALTMAN, E.I.INELSON, A.D. (1968), ~'Financial Ratios, Diseriminant Analysis and the Predietion of Corporate Bankruptey," Journal of Finance, 23: 589-609.
ASPAROUKHOV, O.K/STAM, A. (1997), "Mathematieal Programming Formulations for Two-group Classifieation with Binary Variables," Annals of Operations Research, 74:89.112.
BARNES, P. (1987), "The Analysis and Use of Finanejal Ratios: A Review Article," Journal of Business FinanceEtAccounting: 449-461.
CANBAŞ, s./ÇABUK, A.,/KILlÇ, S.B. (2004), "Predietion of Commercial Bank Failure via Multivariate Statistieal Analysis of Finaneial Struetures: The Turkish Case," European Journal of Operational Resarch (Article in Press).
FREED, N.lGLOVER, F. (1981a), "A Linear Programming Approaeh to the Diseriminant Problem," Decision Sciences, 12: 68-74.
FREED, N.lGLOVER, F. (1981b), "Simple but Powerful Goal Programming Formulations for the Discriminant Problem," European Journal of Operational Resarch, 7: 44-60.
GLOVER, F. (1990), "Improved Linear Programming Models for Diseriminant Analysis," Decision Sciences, 21: 771-785.
GUPTA, Y./R. RAO, BAGCHI, P. (1990), "Linear Goal Programming as an Alternative to Multivariate Diseriminant Analysis," Journol of Business Finance and Accounting, 17: 593-598.
HORRIGAN, J.O. (1965), "Some Emprieal Bases of Finaneial Ratio Analysis," Accounting Review, 558-568.
JOHNSON, W.B. (1978), "The Cross Sectional of Finaneial Patterns," Journal of Business financeEtAccounting, 207-214.
KARACABEY, A.A. (2003), "Matematiksel Programlama ile Sınıflandırma," Savunma Bi/imleri Dergisi, VoL.2, No:1.
KLINE, P. (1994), An Easy Guide to Factor Analysis (London: Routledge).
KONNO, H.lKOBAYASHI, H. (2000), "FaHure Diserimination and Rating of Enterprises by Semidefinite Programming," Asia-Pacific Financial Markets, 7: 261-273.
LOUCOPOULOS, C./PAVUR, R. (1997), "Experimental Evaluation of the Classificatory Performance of Mathematical Programming Approaches to the Three-group Discriminant Problem: the Case of Small Samples," Annals of Operations Research, 191-209.
LAURENT, C.R. (1979), "Improving the Effieieney and Effeetiveness of Finaneial Ratio Analysis," Journal of Business FinanceEtAccounting, 401-413.
MEAR, R./M.FIRTH, M. (1986), " A Note on the Finanejal Variable and Ratio Strueture of New Zealand Listed Companies," Accounting and Finance, 47-56.
PINCHES, G.E.I MINGO, K.A. (1973), "A Multivariate Analysis of Industrial Bond Ratings," Journal of Finance, 1-1.
RAGSDALE, C./STAM, A. (1991), "Mathematieal Programming Formulations for the Discriminant Problem: an Old Dog does New Trieks," Decision Sciences, 22: 296-306.
SUEYOSHI, T. (1999), "DEA-Diseriminant Analysis in the View of Goal Programming," European Journal of Operational Research, 115: 564-582.
SUEYOSHI, T. (2001), "Extended DEA- Diseriminant Analysis," European Journal of Operattonal Research, 131: 324-352.
SUEYOSHI, T. (2004), "Mixed Integer Programming Approaeh of Extended DEA-Discriminant Analysis," European Journal of Operattona/ Research, 152: 45.55.
WALLlN, J.lSUNDGREN,S. (1995), "Using Linear Programming to Predict BusinessFailure: An Empirical Study," NAN Research Papers, http://accounting. rutgers.edul NAN/Papersl .
ZAVGREN,C.V. (1983), "The Prediction of Corporate Failure: the State of the Art," Journalaf Accounting Literature, 1-18 .
Karacabey, A. A. (2006). BANKA BAŞARISIZLIKLARININ DÜZELTİLMİŞ MİNİMUM SAPMA MODELİ İLE TAHMİN EDİLMESİ. Ankara Üniversitesi SBF Dergisi, 61(02), 89-109. https://doi.org/10.1501/SBFder_0000001338
Karacabey, A. Argun. “BANKA BAŞARISIZLIKLARININ DÜZELTİLMİŞ MİNİMUM SAPMA MODELİ İLE TAHMİN EDİLMESİ”. Ankara Üniversitesi SBF Dergisi 61, sy. 02 (Şubat 2006): 89-109. https://doi.org/10.1501/SBFder_0000001338.
EndNote
Karacabey AA (01 Şubat 2006) BANKA BAŞARISIZLIKLARININ DÜZELTİLMİŞ MİNİMUM SAPMA MODELİ İLE TAHMİN EDİLMESİ. Ankara Üniversitesi SBF Dergisi 61 02 89–109.
IEEE
A. A. Karacabey, “BANKA BAŞARISIZLIKLARININ DÜZELTİLMİŞ MİNİMUM SAPMA MODELİ İLE TAHMİN EDİLMESİ”, SBF Dergisi, c. 61, sy. 02, ss. 89–109, 2006, doi: 10.1501/SBFder_0000001338.
ISNAD
Karacabey, A. Argun. “BANKA BAŞARISIZLIKLARININ DÜZELTİLMİŞ MİNİMUM SAPMA MODELİ İLE TAHMİN EDİLMESİ”. Ankara Üniversitesi SBF Dergisi 61/02 (Şubat 2006), 89-109. https://doi.org/10.1501/SBFder_0000001338.