Pawitan, Y. (2013) In All Likelihood. Statistical Modeling and Inference Using Likelihood. 1st Edition, The Clarendon Press.

has been cited by the following article:

• TITLE: A New Definition of P-Value Involving the Maximum Likelihood Estimator

  AUTHORS: H. W. Corley

  KEYWORDS: Hypothesis Testing, P-Value, Evidence, Statistics

  JOURNAL NAME: Open Journal of Statistics, Vol.14 No.5, October 30, 2024

  ABSTRACT: We present here an alternative definition of the P-value for statistical hypothesis test of a real-valued parameter for a continuous random variable X. Our approach uses neither the notion of Type I error nor the assumption that null hypothesis is true. Instead, the new P-value involves the maximum likelihood estimator, which is usually available for a parameter such as the mean μ or standard deviation σ of a random variable X with a common distribution.