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Confidence circles for correspondence analysis using orthogonalpolynomials

机译:使用正交多项式进行对应分析的置信度

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An alternative approach to classical correspondence analysis was developed in [3] and involves decomposing the matrix of Pearson contingencies of a contingency table using orthogonal polynomials rather than via singular value decomposition. It is especially useful in analysing contingency tables which are of an ordinal nature. This short paper demonstrates that the con?dence circles of Lebart, Morineau and Warwick (1984) for the classical approach can be applied to ordinal correspondence analysis. The advantage of the circles in analysing a contingency table is that the researcher can graphically identify the row and column categories that contribute or not to the hypothesis of independence.
机译:[3]中开发了一种经典对应分析的替代方法,该方法涉及使用正交多项式而不是通过奇异值分解来分解列联表的Pearson意外事件矩阵。它在分析具有序数性质的列联表时特别有用。这篇简短的论文证明了经典方法的Lebart,Morineau和Warwick(1984)的置信度圈可以用于序数对应分析。圆圈在分析列联表中的优势在于,研究人员可以图形化地识别有助于或不依赖于独立性假设的行和列类别。

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