2. NPS Outstanding Theses and Dissertations
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HYBRID SIS AND MARKOV CHAIN MONTE CARLO SAMPLING METHODOLOGY FOR GOODNESS-OF-FIT TESTS ON CONTINGENCY TABLES
(Monterey, CA; Naval Postgraduate School, 2018-09)
Logistic regression is one of the most popular means of modeling contingency table data due to its ease of use. Simple asymptotic inference (like a χ2 approximation) for evaluating goodness-of-fit tests, however, may not ...