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The Pearson and likelihood ratio statistics are commonly used to test goodness-of-fit for models applied to data from a multinomial distribution. When data are from a table formed by cross-classification

The Pearson and likelihood ratio statistics are commonly used to test goodness-of-fit for models applied to data from a multinomial distribution. When data are from a table formed by cross-classification of a large number of variables, the common statistics may have low power and inaccurate Type I error level due to sparseness in the cells of the table. The GFfit statistic can be used to examine model fit in subtables.

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    Date Created
    • 2017
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  • Text
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    • Partial requirement for: Ph.D., Arizona State University, 2017
      Note type
      thesis
    • Includes bibliographical references (pages 121-123)
      Note type
      bibliography
    • Field of study: Statistics

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    by Junfei Zhu

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