Error statistical modeling and inference: where methodology meets ontology

DOI10.1007/s11229-015-0744-yzbMath1360.62024OpenAlexW2212054538MaRDI QIDQ516206

Aris Spanos, Deborah G. Mayo

Publication date: 14 March 2017

Published in: Synthese (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11229-015-0744-y

zbMATH Keywords

error statisticsmisspecification testingreplicability of inferencestatistical adequacystatistical ontologystatistical vs. substantive models

Mathematics Subject Classification ID

Foundations and philosophical topics in statistics (62A01)

Related Items (1)

Bernoulli's golden theorem in retrospect: error probabilities and trustworthy evidence

Cites Work

• Akaike-type criteria and the reliability of inference: model selection versus statistical model specification
• Deriving chemosensitivity from cell lines: forensic bioinformatics and reproducible research in high-throughput biology
• A frequentist interpretation of probability for model-based inductive inference
• Science and Statistics
• Severe Testing as a Basic Concept in a Neyman–Pearson Philosophy of Induction
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Error statistical modeling and inference: where methodology meets ontology