Statistical Evidence: A Likelihood Paradigm Richard Royall is an English-language textbook on statistics, aimed at professionals who deal with the interpretation of data as evidence. This work highlights the core principles of likelihood paradigm in statistics.
In this book, the law of likelihood takes center stage, a crucial concept that is often overlooked in traditional statistical methods. After the examining the strengths and limitations of the Neyman-Pearson approach and the Fisher paradigm, Royall proposes an alternative in which the explicit definition of statistical evidence is integrated. This also allows the author to maintain objectivity and control over the frequency of misleading results.
The likelihood paradigm offers a clearer and simpler theoretical framework, making the choice between frequentist and Bayesian methods unnecessary. This makes the book important for professionals and researchers looking for a clear and well-founded approach to statistical evidence.
Topics from the book align with Probability and statistics, MATHEMATICS / Probability & Statistics / General and Science & Mathematics: Textbooks & Study Guides.
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability