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Inference Fundamentals with Applications to Categorical Data

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It includes following topics:

  • Applications to categorical data problems
  • Categorical data analysis
  • Fundamental ideas of statistical estimation and testing
  • Goodness-of-fit
  • Hypothesis testing including exact and large-sample tests
  • Log-linear models
  • Means
  • Point and interval estimation
  • Principles and methods for standard one-sample settings
  • Probability distributions
  • Simple logistic regression
  • Variances

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