# Analysis

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Related to Discriminant analysis: factor analysis, Cluster analysis

## Analysis

The practice of examining information to determine what conclusions it indicates,. The information observed in analysis depends on the type of analysis being conducted. For example, technical analysis uses statistics to determine future price movements of securities, while fundamental analysis looks at indicators of a company's intrinsic value. Analysis may involve qualitative or quantitative information, or both. Most forms of analysis have both strengths and weaknesses.
References in periodicals archive ?
TABLE 5 Frequency of criminal acts committed results of the discriminant analysis.
Discriminant Analysis Association Between Risk Classes--Years 2003 and 2009 2003 2009 Risky Critical Normal Excellent Total Risky 3 5 4 0 12 0.
sandstone, 2000 resamples) Methods: 3, discriminant analysis using logit-transformed percentages; 4, discriminant analysis using untransformed percentages; 5, discriminant analysis using square-root transformed percentages.
Discriminant analysis results show the capability of these indices to classify mineral phases according to their intergrowth type.
Validation of classification procedure was done by classifying fresh cases in holdout subsamples that were not included in the initial estimation of discriminant analysis and by comparing the results accuracy with standard measures of accuracy.
The empirical results of both the Kruskal-Wallis test and the discriminant analysis support hypothesis1, suggesting that accounting majors can be differentiated from non-accounting majors by the performance in the introductory financial accounting course.
As explained by Heazlewood and Keshishian (2010), discriminant analysis can be used to classify cases into the values of a categorical dependent variable, to predict group membership based on a linear combination of the interval variables.
Discriminant analysis is a useful method to explain a low measurement level variable with another variable of high measurement level.
Multigroup discriminant analysis using linear programming.
Classification was carried out using linear discriminant analysis.
While ratings are essentially based on a fundamental analysis of the debtor's riskiness, the credit scoring approach is illustrated by a discriminant analysis, i.
Discriminant analysis was used to determine success in discriminating each level of landform, terrain and direction.

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