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amount of separation between successes and failures in the binary response framework. Extending this algorithm allows us to … compute the overlap in data sets which are commonly fitted by logistic regression models. The overlap is the number of … observations that would need to be removed to obtain complete or quasicomplete separation, i.e. the situation where the logistic …
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multivariate outliers as well as influence points corresponding to Linear Discriminant Analysis. The locations of the corresponding …
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The aim of manuscript is to analyze and identify determinants of honest accounting errors leading to financial restatements based on data from SEC database and from annual reports. Reason for this study is that accounting errors are expensive for companies that need to change already published...
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