- Année : 1931
- Éditeur : The University Press

- Pages : VI-247
- Support : Print
- Edition : Original
- Ville : Cambridge
- URL : Lien externe
- Date de création : 21-03-2012
- Dernière mise à jour : 21-03-2012

A scientific theory is originally based on a particular set of observations. How can it be extended to apply outside this original range of cases? This question, which is fundamental to natural philosophy, is considered in detail in this book. Sir Harold begins with the principle that 'it is possible to learn from experience and to make inferences from beyond the data directly known to sensation'. He goes on to analyse this principle, discuss its status and investigate its logical consequences. The result is a book of importance to anyone interested in the foundations of modern scientific method. His thesis provides a consistent account of how the theories proposed by physicists have been derived from, and are supported by, experimental data. – Contents : – 1. Logic and scientific inference; – 2. Probability; – 3. Sampling; – 4. Errors; – 5. Physical magnitudes; – 6. Mensuration; – 7. Newtonian dynamics; – 8. Light and relativity; – 9. Miscellaneous questions; – 10. Statistical mechanics and quantum theory. – Appendices; Index.

A scientific theory is originally based on a particular set of observations. How can it be extended to apply outside this original range of cases? This question, which is fundamental to natural philosophy, is considered in detail in this book. Sir Harold begins with the principle that 'it is possible to learn from experience and to make inferences from beyond the data directly known to sensation'. He goes on to analyse this principle, discuss its status and investigate its logical consequences. The result is a book of importance to anyone interested in the foundations of modern scientific method. His thesis provides a consistent account of how the theories proposed by physicists have been derived from, and are supported by, experimental data. – Contents : – 1. Logic and scientific inference; – 2. Probability; – 3. Sampling; – 4. Errors; – 5. Physical magnitudes; – 6. Mensuration; – 7. Newtonian dynamics; – 8. Light and relativity; – 9. Miscellaneous questions; – 10. Statistical mechanics and quantum theory. – Appendices; Index.