## Mathematical models in psychology: an introduction |

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### Contents

Editorial Foreword | 11 |

Introduction | 17 |

Concept Identification | 25 |

Copyright | |

3 other sections not shown

### Common terms and phrases

A. J. Foyt adaptation level alternatives analysis Anne Treisman approach assumed assumption axiom Brigitte Bardot calculated Charles de Gaulle chi-square chosen classical strength theory concept identification conditional distribution conditional probability constant correct hypotheses correct responses depends dimensions discrepancy distance dot hypotheses equal equation example experiment field Figure formal formula frequency function given illusion independent irrelevant cues irrelevant hypothesis judged judgement last error length of line logarithm Luce's mathematical psychology matical maximum likelihood mean measure method of maximum method of partial normally distributed observed overlap parameter space partial data perception possible predicted prob probability of choosing probability of solving psychophysical random random variable recurrent events relative relevant cue resample Restle model result s+b+k sample says sequence shown Sophia Loren square standard deviation stimulus sufficient statistics Suppose theoretical tion total errors Trabasso trial of last valences variable weight whence wrong zero