In the chapter the construction of the second leg of Statistical Inference is undertaken. Namely, hypotheses testing. After having examinated the epistemic approach to this matter, namely that no testing can “prove” a theory, but only support whether the hypotheses posed are wrong with a certain probability, we attack the subject following the two main approaches in Statistics, the frequentist approach and the Bayesian.

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Statistical Inference: Model Verification

  • Fernando Sansò,
  • Alberta Albertella

摘要

In the chapter the construction of the second leg of Statistical Inference is undertaken. Namely, hypotheses testing. After having examinated the epistemic approach to this matter, namely that no testing can “prove” a theory, but only support whether the hypotheses posed are wrong with a certain probability, we attack the subject following the two main approaches in Statistics, the frequentist approach and the Bayesian.