اداء السهم بالانحدار اللوجستى.pdf

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Journal of Al Azhar University-Gaza (Natural Sciences), 2014, 16 (67)

Dutta, A., Bandopadhyay, G. and Sengupta, S. (2012). "Prediction of Stock Performance in the Indian Stock Market Using Logistic Regression", Vol. 7, No. 1, June.

Edwards, T.C (2003). "Assessing Association: Logistic Regression and Logit Analysis", Biometry, FRWS 6500, Fall.

Gebotys, R.J (2000). "Examples: Binary Logistic Regression", January. Genay, H. (1998). "Assessing the Condition of Japanese Banks: How

informative are accounting Earnings", Economic Perspectives (Federal Reserve Bank of Chicago), 12-34.

Horrigan, J.O (1965). "Some empirical bases of financial ratio analysis", The Accounting Review, July, 284-294.

Hosmer, W. & Lemeshow, S. (2000). "Applied Logistic Regression", 2nd edition, New York: johnson wiley & sons, Inc.

Kerlinger, F.N (1973). "Foundations of Behavioral Research", 2nd edition, New York: Holt, Rinehart and Winston, Inc.

Kerlinger, F. & Pedhazur, E. (1973). "Multiple Regression Behavioral Research", New York: Holt, Rinehart and Winston, Inc.

King, J.E. (2002). " Logistic Regression : Going beyond point-and-click", Paper presented at the annual Meeting of the American educational

Research Association, New Orleans, LA, April.

King, J.E (2003). "Running A Best-Subsets Logistic Regression: An Alternative to Stepwise Methods", Educational and Psychological Measurement, Vol. 63, No. 3, June, 392-403.

Lea, S. (1997). " Multivariate Analysis II: Manifest variables analysis. Topic 4: Logistic Regression and Discriminant Analysis ", University of EXETER, Department of Psychology. Available at:

www.exeter.ac.uk/~SEGLea/multivar2/diclogi.html.

Lee, S. (2004). "Application of likelihood ratio and logistic regression models to landslide susceptibility mapping using GIS", Environmental Management, Vol. 34, No. 2, 223-232.

Li, H., Sun, J. and Wu, J. (2010). "Predicting business failure using classification and regression tree: An empirical comparison with

popular classical statistical methods and top classification mining

methods", Expert Systems with Applications, Vol. 37, No. 8, August, 5895- 5904.

Menard, S.W (2002). "Applied logistic regression analysis", 2nd edition, Sage Publication Series: Quantitative Application in the Social

Sciences, No. 106, Thousand Oaks, CA: Sage.

Metnyk, Z. & Mathur, I. (1972). "Business risk homogeneity: A multivariate application and evaluation", Proceedings of the 1972 Midwest AIDS Conference, April.

(68) Journal of Al Azhar University-Gaza (Natural Sciences), 2014, 16

Min, J. & Chulwoo, J. (2009). "A binary classification method for bankruptcy prediction", Expert Systems with Applications, Vol. 36, No. 3, April, 5256- 5263.

Mostafa, M.M (2010). "Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait", Expert Systems with Application, Vol. 37, No. 9, 6302- 6309.

t, H., Mete Doganay, M. and Aktas, R. (2009). "Detecting stock-price manipulation in an emerging market: The case of Turkey", Expert Systems with Applications, Vol. 36, No. 9, 11944- 11949.

Ohlson, J.A (1980). "Financial ratios and the probabilistic prediction of bankruptcy", Journal of Accounting Research, Vol. 18, No. 1, 109-131.

Pample, F. (2000). "Logistic Regression A Primer". Sage Publication Series: Quantitative Application in the Social Sciences, No.07-132, Thousand

Oaks, CA: Sage.

Peng, C., lee, K. and Ingersoll, G. (2002). " An introduction to logistic Regression Analysis and Reporting ", The Journal of Educational Research, Vol. 96, No. 1, 3-14.

Poston, D.L (2004). "Sociological Research: Quantitative Methods (Lecture notes, Lecture 7)", Spring.

So, T. & Peng, C. (2003). "Comparison of K-means clustering with linear probability Model, linear discriminant function, and logistic regression

for predicting two-group membership". Paper Presented at the Annual Meeting of the American educational Research Association, Chicago,

IL, April.

Walker, M.D (1998). "Discriminant Function Analysis", Lesson8. Zavgren, C.V (1985). "Assessing the vulnerability to failure of American

industrial firms: A logistic analysis", Journal of Business, Finance and Accounting, Vol. 12, No. 1, 1945.

Zmijewski, M.E (1984). "Methodological issues related to the estimation of financial distress prediction models", Journal of Accounting Research, Vol. 24, 59-82.

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اداء السهم بالانحدار اللوجستى.pdf