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Error and the growth of experimental knowledge [[electronic resource] /] / Deborah G. Mayo
Error and the growth of experimental knowledge [[electronic resource] /] / Deborah G. Mayo
Autore Mayo Deborah G
Pubbl/distr/stampa Chicago, : University of Chicago Press, 1996
Descrizione fisica 1 online resource (512 p.)
Disciplina 001.4/34
Collana Science and its conceptual foundations
Soggetto topico Error analysis (Mathematics)
Bayesian statistical decision theory
Science - Philosophy
Soggetto genere / forma Electronic books.
ISBN 1-283-05840-5
9786613058409
0-226-51199-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Preface -- 1. Learning from Error -- 2. Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper -- 3. The New Experimentalism and the Bayesian Way -- 4. Duhem, Kuhn, and Bayes -- 5. Models of Experimental Inquiry -- 6. Severe Tests and Methodological Underdetermination -- 7. The Experimental Basis from Which to Test Hypotheses: Brownian Motion -- 8. Severe Tests and Novel Evidence -- 9. Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance -- 10. Why You Cannot Be Just a Little Bit Bayesian -- 11. Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics -- 12. Error Statistics and Peircean Error Correction -- 13. Toward an Error-Statistical Philosophy of Science -- References -- Index
Record Nr. UNINA-9910459599603321
Mayo Deborah G  
Chicago, : University of Chicago Press, 1996
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Error and the growth of experimental knowledge [[electronic resource] /] / Deborah G. Mayo
Error and the growth of experimental knowledge [[electronic resource] /] / Deborah G. Mayo
Autore Mayo Deborah G
Pubbl/distr/stampa Chicago, : University of Chicago Press, 1996
Descrizione fisica 1 online resource (512 p.)
Disciplina 001.4/34
Collana Science and its conceptual foundations
Soggetto topico Error analysis (Mathematics)
Bayesian statistical decision theory
Science - Philosophy
Soggetto non controllato experimental knowledge, statistical inference, error-statistical approach, experiment, analysis, objectivity, rationality, logical inconsistencies, error, errors, mathematics, math, bayesian decision theory, science, methodological underdetermination, brownian motion, neyman-pearson predesignationist stance, peircean correction, inquiry
ISBN 1-283-05840-5
9786613058409
0-226-51199-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Contents -- Preface -- 1. Learning from Error -- 2. Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper -- 3. The New Experimentalism and the Bayesian Way -- 4. Duhem, Kuhn, and Bayes -- 5. Models of Experimental Inquiry -- 6. Severe Tests and Methodological Underdetermination -- 7. The Experimental Basis from Which to Test Hypotheses: Brownian Motion -- 8. Severe Tests and Novel Evidence -- 9. Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance -- 10. Why You Cannot Be Just a Little Bit Bayesian -- 11. Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics -- 12. Error Statistics and Peircean Error Correction -- 13. Toward an Error-Statistical Philosophy of Science -- References -- Index
Record Nr. UNINA-9910785426003321
Mayo Deborah G  
Chicago, : University of Chicago Press, 1996
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Error and the growth of experimental knowledge [[electronic resource] /] / Deborah G. Mayo
Error and the growth of experimental knowledge [[electronic resource] /] / Deborah G. Mayo
Autore Mayo Deborah G
Pubbl/distr/stampa Chicago, : University of Chicago Press, 1996
Descrizione fisica 1 online resource (512 p.)
Disciplina 001.4/34
Collana Science and its conceptual foundations
Soggetto topico Error analysis (Mathematics)
Bayesian statistical decision theory
Science - Philosophy
Soggetto non controllato experimental knowledge, statistical inference, error-statistical approach, experiment, analysis, objectivity, rationality, logical inconsistencies, error, errors, mathematics, math, bayesian decision theory, science, methodological underdetermination, brownian motion, neyman-pearson predesignationist stance, peircean correction, inquiry
ISBN 1-283-05840-5
9786613058409
0-226-51199-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Contents -- Preface -- 1. Learning from Error -- 2. Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper -- 3. The New Experimentalism and the Bayesian Way -- 4. Duhem, Kuhn, and Bayes -- 5. Models of Experimental Inquiry -- 6. Severe Tests and Methodological Underdetermination -- 7. The Experimental Basis from Which to Test Hypotheses: Brownian Motion -- 8. Severe Tests and Novel Evidence -- 9. Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance -- 10. Why You Cannot Be Just a Little Bit Bayesian -- 11. Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics -- 12. Error Statistics and Peircean Error Correction -- 13. Toward an Error-Statistical Philosophy of Science -- References -- Index
Record Nr. UNINA-9910825700003321
Mayo Deborah G  
Chicago, : University of Chicago Press, 1996
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui