Failure prediction of Chinese A-share listed companies : comparisons using logistic regression model and neural network analysis : a thesis presented in partial fulfilment of the requirements for the degree of Master of Business Studies in Finance at Massey University, Palmerston North, New Zealand [PDF]
, 2004 This study compares the relative prediction accuracy of corporate failure between two prediction methods –logistic regression model and neural network analysis– based on a sample of 3598 observations and companies data obtained from the Chinese A- Share ...
Lan, Hua Yong
core
Standardization and Control for Confounding in Observational Studies: A Historical Perspective
, 2014 Control for confounders in observational studies was generally handled through stratification and standardization until the 1960s. Standardization typically reweights the stratum-specific rates so that exposure categories become comparable.
Clayton, David, Keiding, Niels
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APPLICATION OF RECURSIVE PARTITIONING TO AGRICULTURAL CREDIT SCORING [PDF]
Recursive Partitioning Algorithm (RPA) is introduced as a technique for credit scoring analysis, which allows direct incorporation of misclassification costs.
LaDue, Eddy L., Novak, Michael P.
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, 2004 One important issue commonly encountered in the analysis of microarray data is to decide which and how many genes should be selected for further studies.
Baldi +5 more
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THE ACCURACY OF FINANCIAL DISTRESS PREDICTION MODELS IN TURKEY: A COMPARATIVE INVESTIGATION WITH SIMPLE MODEL PROPOSALS [PDF]
This study aims to test eight well-known and widely used financial distress prediction models and to compare their performance in Turkey for the first year prior to failure.
Erol Muzir, Nazan Caglar
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Predictive Analysis of Voice Pathology Using Logistic Regression: Insights and Challenges
Engineering ProceedingsVoice pathology diagnosis is essential for the timely detection and management of voice disorders, which can significantly impact an individual’s quality of life.
Divya Mathews Olakkengil +1 more
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Generalized Extreme Value Regression for Binary Rare Events Data: an Application to Credit Defaults [PDF]
The most used regression model with binary dependent variable is the logistic regression model. When the dependent variable represents a rare event, the logistic regression model shows relevant drawbacks.
Raffaella Calabrese +1 more
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The logistic regression analysis of psychiatric data
Journal of Psychiatric Research, 1986 Logistic regression is presented as the statistical method of choice for analyzing the effects of independent variables on a binary dependent variable in terms of the probability of being in one of its two categories vs the other. The method, which must be applied by computer, is illustrated on data from the DSM-III field trials. The dependent variable
J L, Fleiss, J B, Williams, A F, Dubro
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Trends and Determinants of Rural Poverty: A Logistic Regression Analysis of Selected Districts of Punjab [PDF]
Poverty is widespread in the rural areas, where the people are in a state of human deprivation with regard to incomes, clothing, housing, health care, education, sanitary facilities and human rights. Nearly 61 percent of the country’s populations live in
Amara Amjad Hashmi +2 more
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Tree Induction vs. Logistic Regression: A Learning-Curve Analysis [PDF]
, 2001 Tree induction and logistic regression are two standard, off-the-shelf methods for building models for classification. We present a large-scale experimental comparison of logistic regression and tree induction, assessing classification accuracy and the ...
Perlich, Claudia +2 more
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