Next Article in Journal
Graph Entropy Associated with Multilevel Atomic Excitation
Previous Article in Journal
Detection of Arrhythmic Cardiac Signals from ECG Recordings Using the Entropy–Complexity Plane
Open AccessProceedings

The Measurement of Statistical Evidence as the Basis for Statistical Reasoning

Department of Statistical Sciences, University of Toronto, Toronto, ON M5S, Canada
Presented at the 5th International Electronic Conference on Entropy and Its Applications, 18–30 November 2019; Available online: https://ecea-5.sciforum.net/.
Proceedings 2020, 46(1), 7; https://doi.org/10.3390/ecea-5-06682
Published: 13 March 2020
There are various approaches to the problem of how one is supposed to conduct a statistical analysis. Different analyses can lead to contradictory conclusions in some problems so this is not a satisfactory state of affairs. It seems that all approaches make reference to the evidence in the data concerning questions of interest as a justification for the methodology employed. It is fair to say, however, that none of the most commonly used methodologies is absolutely explicit about how statistical evidence is to be characterized and measured. We will discuss the general problem of statistical reasoning and the development of a theory for this that is based on being precise about statistical evidence. This will be shown to lead to the resolution of a number of problems.
Keywords: statistical reasoning; statistical evidence; checking model and prior, measuring and controlling bias; relative belief statistical reasoning; statistical evidence; checking model and prior, measuring and controlling bias; relative belief
MDPI and ACS Style

Evans, M. The Measurement of Statistical Evidence as the Basis for Statistical Reasoning. Proceedings 2020, 46, 7.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop