What Foundations for Statistical Modeling and Inference
Bibliographic Data
| ID | 13034875 |
|---|---|
| Authors | Aris Spanos (0000-0002-9229-424X, Virginia Tech, corresponding author) |
| Year | 2019 |
| Volume | 9-4 |
| Pages | 833-860 |
| Publication date | 2019-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | OEconomia (JOURNAL) |
| Journal identifiers | ISSN: 2113-5207 • E-ISSN: 2269-8450 |
| Publisher | Association Œconomia (PUBLISHER • FR) |
| DOI | 10.4000/oeconomia.7521 |
| OpenAlex | W3193726243 |
| Language | EN |
| References cited | 20 |
The primary aim of this article is to review the above books in a comparative way from the standpoint of my perspective on empirical modeling and inference. These two books pertaining to the nature and justification of statistical inference were written by two philosophers of science more than 50 years apart. What they have in common is the critical eye of a philosopher of science scrutinizing the statistical reasoning employed by statisticians and practitioners in different fields, and endea
Data science · Inference · Statistical inference · Statistics · Computer Science · Mathematics · Meta-analysis and systematic reviews · Philosophy and History of Science · Statistics Education and Methodologies · Artificial Intelligence
Error and the Growth of Experimental Knowledge
Statistical Inference as Severe Testing
An objective theory of statistical testing
A frequentist interpretation of probability for model-based inductive inference
Methodology in Practice
Severe Testing as a Basic Concept in a Neyman–Pearson Philosophy of Induction
| Citation velocity | historical |
|---|---|
| Highly cited | No |