Patrick Suppes
Foundations of Probability with Applications
Selected Papers 1974 1995
Herausgeber: Binmore, Ken; Skyrms, Brian
Patrick Suppes
Foundations of Probability with Applications
Selected Papers 1974 1995
Herausgeber: Binmore, Ken; Skyrms, Brian
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This is an important collection of essays by a leading philosopher, dealing with the foundations of probability.
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This is an important collection of essays by a leading philosopher, dealing with the foundations of probability.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 208
- Erscheinungstermin: 22. August 2003
- Englisch
- Abmessung: 229mm x 152mm x 12mm
- Gewicht: 346g
- ISBN-13: 9780521568357
- ISBN-10: 0521568358
- Artikelnr.: 22044263
- Verlag: Cambridge University Press
- Seitenzahl: 208
- Erscheinungstermin: 22. August 2003
- Englisch
- Abmessung: 229mm x 152mm x 12mm
- Gewicht: 346g
- ISBN-13: 9780521568357
- ISBN-10: 0521568358
- Artikelnr.: 22044263
Part I. Foundations of Probability: 1. Necessary and sufficient conditions
for existence of a unique measure strictly agreeing with a qualititative
probability ordering; 2. Necessary and sufficient qualitative axioms for
conditional probability; 3. On using random relations to generate upper and
lower probabilities; 4. Conditions on upper and lower probabilities to
imply probabilities; 5. Qualitative axioms for random-variable
representation of extensive quantifiers; Part II. Causality and Quantum
Mechanics: 6. Stochastic incompleteness of quantum mechanics; 7. On the
determinism of hidden variable theories with strict correlation and
conditional statistical independence of observables; 8. A new proof of the
impossibility of hidden variables using the principles of exchangeability
and identity of conditional distribution; 9. When are probabilistic
explanations possible?; 10. Causality and symmetry; 11. New Bell-type
inequalities for N>4 necessary for existence of a hidden variable; 12.
Existence of hidden variables having only upper probabilities; Part III.
Applications in Education: 13. Mastery learning of elementary mathematics:
theory and data.
for existence of a unique measure strictly agreeing with a qualititative
probability ordering; 2. Necessary and sufficient qualitative axioms for
conditional probability; 3. On using random relations to generate upper and
lower probabilities; 4. Conditions on upper and lower probabilities to
imply probabilities; 5. Qualitative axioms for random-variable
representation of extensive quantifiers; Part II. Causality and Quantum
Mechanics: 6. Stochastic incompleteness of quantum mechanics; 7. On the
determinism of hidden variable theories with strict correlation and
conditional statistical independence of observables; 8. A new proof of the
impossibility of hidden variables using the principles of exchangeability
and identity of conditional distribution; 9. When are probabilistic
explanations possible?; 10. Causality and symmetry; 11. New Bell-type
inequalities for N>4 necessary for existence of a hidden variable; 12.
Existence of hidden variables having only upper probabilities; Part III.
Applications in Education: 13. Mastery learning of elementary mathematics:
theory and data.
Part I. Foundations of Probability: 1. Necessary and sufficient conditions
for existence of a unique measure strictly agreeing with a qualititative
probability ordering; 2. Necessary and sufficient qualitative axioms for
conditional probability; 3. On using random relations to generate upper and
lower probabilities; 4. Conditions on upper and lower probabilities to
imply probabilities; 5. Qualitative axioms for random-variable
representation of extensive quantifiers; Part II. Causality and Quantum
Mechanics: 6. Stochastic incompleteness of quantum mechanics; 7. On the
determinism of hidden variable theories with strict correlation and
conditional statistical independence of observables; 8. A new proof of the
impossibility of hidden variables using the principles of exchangeability
and identity of conditional distribution; 9. When are probabilistic
explanations possible?; 10. Causality and symmetry; 11. New Bell-type
inequalities for N>4 necessary for existence of a hidden variable; 12.
Existence of hidden variables having only upper probabilities; Part III.
Applications in Education: 13. Mastery learning of elementary mathematics:
theory and data.
for existence of a unique measure strictly agreeing with a qualititative
probability ordering; 2. Necessary and sufficient qualitative axioms for
conditional probability; 3. On using random relations to generate upper and
lower probabilities; 4. Conditions on upper and lower probabilities to
imply probabilities; 5. Qualitative axioms for random-variable
representation of extensive quantifiers; Part II. Causality and Quantum
Mechanics: 6. Stochastic incompleteness of quantum mechanics; 7. On the
determinism of hidden variable theories with strict correlation and
conditional statistical independence of observables; 8. A new proof of the
impossibility of hidden variables using the principles of exchangeability
and identity of conditional distribution; 9. When are probabilistic
explanations possible?; 10. Causality and symmetry; 11. New Bell-type
inequalities for N>4 necessary for existence of a hidden variable; 12.
Existence of hidden variables having only upper probabilities; Part III.
Applications in Education: 13. Mastery learning of elementary mathematics:
theory and data.