https://am1241agonist.com/seei....ng-from-the-fixed-th
Parameter values for product difficulty, discrimination, test-taker ability, and test-taker additional abilities connected with a particular testlet are generated and parameter data recovery through Markov Chain Monte Carlo Bayesian methods and generalized optimum likelihood estimation practices are contrasted. To assist aided by the complex computational efforts, the book alleged TensorFlow system can be used. Both estimation techniques offered satisfactory parameter recovery, although the Bayesian tech
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