MDA

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MDA

(1) (Monochrome Display Adapter) The first IBM PC monochrome video display standard for text. Due to its lack of graphics, MDA cards were often replaced with Hercules cards, which included graphics. See Hercules Graphics and VGA.

(2) (Model Driven Architecture) See Object Management Architecture.

(3) (Mechanical Design Automation) Applications that help automate the design and engineering processes from concept to manufacturing. Automotive, aerospace and discrete manufacturing are examples of industries that use MDA.

(4) (Modular Digital Architecture) An earlier snap-together, building-block approach for adding peripherals to a PC from NeoSystems, Inc.
References in periodicals archive ?
Predicting corporate failure of Malaysia's listed companies: comparing multiple discriminant analysis, logistic regression and the hazard model.
Abdullah, Halim, Ahmad and Rose (2008) compared three methods of predicting financially troubled companies in Malaysia, these were multiple discriminant analysis (MDA), hazard model and logistic regression analysis.
In this study, simultaneous estimation is applied for multiple discriminant analysis, and the SPSS program is used.
Using the multiple discriminant analysis, the null hypothesis of equal population covariance matrices in this case was rejected significantly (Box's M = 16.703; F = 1.824; P-value = 0.059), and the Wilk's Lambda scores were 0.102 ([chi square] = 527.538; df = 6; P-value = 0.000) and 0.344 [chi square]= 246.800; df = 2; P-value = 0.000) for both discriminant functions, respectively, indicating that group means were significantly different.
In addition, multiple discriminant analysis showed that six creative dimensions could be distinguished between the two groups of cognitive thinkers.
Multiple discriminant analysis (MDA) provides a procedure for assigning firms to predetermined groupings based on variables or attributes whose values may depend on the group to which the firm actually belongs.
As we can see, the equation contains parameters in the form of weights determined on the basis of multiple discriminant analysis, while the value of Z informs about the level of risk of bankruptcy.
Indeed, Hosmer and Lemeshow (1989) showed that logistic regression modelling requires far fewer assumptions than multiple discriminant analysis and multivariate regression analysis, whilst generally producing models which exhibit similar or better predictive powers.
The categories involve the use of regression analysis, multiple discriminant analysis, and neural networks.
Multiple discriminant analysis used to classify French and German grape brandies and French cognacs.
In the model, each of these ratios is multiplied by a coefficient that is derived from a statistical procedure called multiple discriminant analysis. Trust me, you probably don't want to know all the details of this procedure.

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