Statistical Evidence

A Likelihood Paradigm
1. Auflage 1997
ISBN: 978-0-412-04411-3
Verlag: Chapman and Hall/CRC

Buch, Englisch, 208 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 485 g

Reihe: Chapman & Hall/CRC Monographs on Statistics and Applied Probability

Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective methodology. This book redresses the balance, explaining why science has clung to a defective methodology despite its well-known defects. After examining the strengths and weaknesses of the work of Neyman and Pearson and the Fisher paradigm, the author proposes an alternative paradigm which provides, in the law of likelihood, the explicit concept of evidence missing from the other paradigms. At the same time, this new paradigm retains the elements of objective measurement and control of the frequency of misleading results, features which made the old paradigms so important to science. The likelihood paradigm leads to statistical methods that have a compelling rationale and an elegant simplicity, no longer forcing the reader to choose between frequentist and Bayesian statistics.

Autoren/Hrsg.

Royall, Richard

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

Statistical Evidence: A Likelihood Paradigm

Über Autor(innen)

Richard Royall