Compared to methods based on Assumptions of Linear and non-Linear Constraints to Analyze Categorical Data

	Compared to methods based on Assumptions of Linear and non-Linear Constraints to Analyze Categorical Data
journal of kirkuk University For Administrative and Economic Sciences
Article 1, Volume 4, Issue 2, 2014, Pages 233-256 PDF (799.41 K)
Abstract
Analysis of the Contingency tables of Statistics topics important because of its wide applications in various fields of science, administrative, economic and educational, biological, health, agriculture and other areas of life. And analysis of the medical side occupies importance being occupies the importance of the fight And the prevention of all diseases. The contingency tables take different forms may be overlapping relationships between continuous variables related data which can be analyzed by linear models. However, if the data is related to discrete and categorized variables, or the data may be quantities or descriptive or both can be analyzed by a multi-dimensional tables, and each type of data hypothesis and analysis methods. Search includes details concerned with comparing different methods which are used in the analysis of categorical data according to the of linear and non-linear constraints . And give more emphasis to the modified minimum chi-square method. Because it was observed that modified minimum chi-square method is superior to most of the modified methods used to estimate the frequencies under different kinds of hypotheses, but equivalent to the Wald statistic to test linear and non-linear hypothesis. Key words: Modified Minimum chi-square, Tests of categorical data, Analysis of contingency tables, Analysis of categorical data for complex surveys.

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