Kuldeep Kumar
Kuldeep Kumar
Professor of Statistics
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Cited by
Cited by
Some recent developments in non-linear time series modelling, testing, and forecasting
JG De Gooijer, K Kumar
International Journal of Forecasting 8 (2), 135-156, 1992
Business failure prediction using decision trees
A Gepp, K Kumar, S Bhattacharya
Journal of forecasting 29 (6), 536-555, 2010
Artificial neural network vs linear discriminant analysis in credit ratings forecast: A comparative study of prediction performances
K Kumar, S Bhattacharya
Review of Accounting and Finance 5 (3), 216-227, 2006
Predicting financial distress: A comparison of survival analysis and decision tree techniques
A Gepp, K Kumar
Procedia Computer Science 54, 396-404, 2015
The role of survival analysis in financial distress prediction
A Gepp, K Kumar
International research journal of finance and economics 16 (16), 13-34, 2008
Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection
P Zhang, B Verma, K Kumar
Pattern Recognition Letters 26 (7), 909-919, 2005
A review of money laundering literature: the state of research in key areas
M Tiwari, A Gepp, K Kumar
Pacific Accounting Review 32 (2), 271-303, 2020
Detection of financial distress via multivariate statistical analysis
S Gamesalingam, K Kumar
Managerial Finance 27 (4), 45-55, 2001
An ANN-based auditor decision support system using Benford's law
S Bhattacharya, D Xu, K Kumar
Decision support systems 50 (3), 576-584, 2011
Financial distress prediction of Islamic banks using tree-based stochastic techniques
K Halteh, K Kumar, A Gepp
Managerial Finance 44 (6), 759-773, 2018
The future of raising finance-a new opportunity to commit fraud: a review of initial coin offering (ICOs) scams
M Tiwari, A Gepp, K Kumar
Crime, Law and Social Change 73, 417-441, 2020
Forecasting credit ratings Using ANN and statistical techniques
K Kumar, JD Haynes
International journal of business studies 11 (1), 91-108, 2003
Employee perceptions of organization culture with respect to fraud–where to look and what to look for
K Kumar, S Bhattacharya, R Hicks
Pacific Accounting Review 30 (2), 187-198, 2018
A comparative analysis of decision trees vis-a-vis other computational data mining techniques in automotive insurance fraud detection
A Gepp, JH Wilson, K Kumar, S Bhattacharya
Journal of data science 10 (3), 537-561, 2012
Dengue: epidemiology, prevention and pressing need for vaccine development
K Kumar, PK Singh, J Tomar, S Baijal
Asian Pacific Journal of Tropical Medicine 3 (12), 997-1000, 2010
A neural-genetic algorithm for feature selection and breast abnormality classification in digital mammography
P Zhang, B Verma, K Kumar
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. Noá…, 2004
Changing the landscape of higher education: From standardized learning to customized learning
SK Sharma, SCJ Palvia, K Kumar
Journal of Information Technology Case and Application Research 19 (2), 75-80, 2017
Business failure prediction using statistical techniques: A review
A Gepp, K Kumar
Some recent developments in statistical theory and applications 1, 1-25, 2012
Autologous transfusion of drain contents in elective primary knee arthroplasty: its value and relevance
VK Singh, PK Singh, S Javed, K Kumar, J Tomar
Blood Transfusion 9 (3), 281, 2011
On the identification of some bilinear time series models
K Kumar
Journal of time sÚries analysis 7 (2), 117-122, 1986
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