## Scientific InferenceA 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, which was originally published in 1931, and first published as this third edition in 1973. 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. |

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### Contents

PROBABILITY | 23 |

SAMPLING | 43 |

NEWTONIAN DYNAMICS | 126 |

LIGHT AND RELATIVITY | 148 |

THEORY | 212 |

Appendix I | 218 |

Appendix | 268 |

### Other editions - View all

Scientific Inference Former Plumian Professor of Astronomy Harold Jeffreys,Harold Jeffreys No preview available - 1973 |

Scientific Inference Former Plumian Professor of Astronomy Harold Jeffreys No preview available - 2015 |

### Common terms and phrases

acceleration actual additive magnitude angle applied approximation argument atom axes axiom bodies called classical mechanics co-ordinates collinear consider constant cubic centimetre deductive defined definition density dimensions direction distance dynamics Eddington electron energy equal equations of motion estimate exist experiment expressed fact finite function further G-number give given gravitational HAROLD JEFFREYS Hence hypothesis inference infinite number instance integral interval inverse probability length logic mass mathematics means measured method Michelson-Morley experiment millimetre molecule object orbit pair parameters particles perihelion physical plane position possible posterior probability principle prior probability probability distribution probability theory problem product rule proposition quantities quantum theory ratio real numbers regard relation relative satisfy scale Schrodinger's equation scientific sensations solution specified standard error stars statement statistical mechanics straight edge Suppose theorem tion true usually values variables velocity of light whole numbers zero