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What is Structure Coefficients

Global Trends of Modernization in Budgeting and Finance
Structure coefficients add to the information provided by ß weights. Betas inform us as to the credit given to a predictor in the regression equation, while structure coefficients inform us as to the bivariate relationship between a predictor and the effect observed without the influence of other predictors in the model. If the coefficient is closer to zero, the relationship between the individual variable and the discriminant function is insignificant.
Published in Chapter:
Scoring Modeling in Estimating the Financial Condition of Russian Agro-Industrial Companies
Oleg Y. Patlasov (Omsk Regional Institute, Russia) and Olga K. Mzhelskaya (Omsk Humanitarian Academy, Russia)
Copyright: © 2019 |Pages: 25
DOI: 10.4018/978-1-5225-7760-7.ch008
Abstract
The chapter presents the authors' estimations according to the scoring modeling techniques; also, internationally spread models of bankruptcy forecasting are systematized. Advantages and disadvantages of dynamic modelling methods as applied to financial condition assessment are presented here. Methodological problems of financial modelling are explained here in detail. Regression, logit-regression, and discriminant models are built on the basis of data on the Rosselkhozbank and Sberbank of Russia regulations, taking into account the agrarian specifics of organizations and regional specificity of the Omsk region. An attempt has been made to balance the simplicity of calculations and the accuracy of predictions. Graphs, to be used for express analysis, are constructed on the basis of two core financial indicators.
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