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Bankruptcy prediction using neural networks

Anandarajan, Murugan; Lee, Picheng; Anandarajan, Asokan - In: Business intelligence techniques : a perspective from …, (pp. 117-132). 2004

Persistent link: https://www.econbiz.de/10002056626

Exploring the causes of accounting restatements by family firms

Sue, Shu-hui; Chin, Chen-lung; Chan, Ling-ching - In: Journal of business finance & accounting : JBFA 40 (2013) 9/10, pp. 1068-1094

Persistent link: https://www.econbiz.de/10010236230

Forecasting state tax revenues : a new approach

Lawrence, Kenneth D. - In: Advances in business and management forecasting 2 (1998), pp. 157-170

Persistent link: https://www.econbiz.de/10001245826

A theoretical model of cognitive factors that affect auditors' performance and perceived independence

Kleinman, Gary; Anandarajan, Asokan; Medinets, Ann; … - In: International journal of behavioural accounting and … 1 (2008/10) 3, pp. 239-267

Persistent link: https://www.econbiz.de/10003953273

Forecast model selection : Genetic Algorithm Neural Network (GANN) approach

Anandarajan, Murugan; Arinze, Bay; Anandarajan, Asokan; … - In: Advances in business and management forecasting 3 (2002), pp. 93-111

Persistent link: https://www.econbiz.de/10003750906

The accounting court : some speculations on why not?

Kleinman, Gary; Strickland, Pamela; Anandarajan, Asokan - In: Group decision and negotiation 25 (2016) 4, pp. 845-871

Persistent link: https://www.econbiz.de/10011502756

Novice and Expert Judgment in the Presence of Going Concern Uncertainty : The Influence of Heuristic Biases and Other Relevant Factors

Anandarajan, Asokan; Kleinman, Gary; Palmon, Dan - 2013

Purpose – Prior literature provides clear evidence that the judgments of experts differ from those of non-experts. For example, Smith and Kida concluded that the extent of common biases that they investigated often are reduced when experts perform job related tasks as compared to students. The...

Persistent link: https://www.econbiz.de/10014151320