## Eliciting and Analyzing Expert Judgment: A Practical GuideExpert judgment is invaluable for assessing products, systems, and situations for which measurements or test results are sparse or nonexistent. Eliciting and Analyzing Expert Judgment: A Practical Guide takes the reader step by step through the techniques of eliciting and analyzing expert judgment, with special attention given to helping the reader develop elicitation methods and tools adaptable to a variety of unique situations and work areas. The analysis procedures presented in the book may require a basic understanding of statistics and probabilities, but the authors have provided detailed explanations of the techniques used and have taken special care to define all statistical jargon. Originally published in 1991, this book is designed so that those familiar with the use of expert judgment can quickly find the material appropriate for their advanced background. |

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### Contents

SA07_ch1 | 3 |

SA07_ch2 | 17 |

SA07_ch3 | 35 |

SA07_ch4 | 57 |

SA07_ch5 | 69 |

SA07_ch6 | 85 |

SA07_ch7 | 99 |

SA07_ch8 | 123 |

SA07_ch13 | 249 |

SA07_ch14 | 269 |

SA07_ch15 | 293 |

SA07_ch16 | 315 |

SA07_ch17 | 353 |

SA07_ch18 | 373 |

SA07_appa | 387 |

SA07_appb | 391 |

### Other editions - View all

Eliciting and Analyzing Expert Judgment: A Practical Guide Mary A. Meyer,Jane M. Booker Limited preview - 1991 |

Eliciting and Analyzing Expert Judgment: A Practical Guide Mary A. Meyer,Jane M. Booker No preview available - 2001 |

### Common terms and phrases

addition advisory experts aggregation analysis of variance analyze ancillary variables answer data answer variable asked assumptions Bayes theorem Bayesian beta distribution bootstrap calculated chapter cluster analysis cluster formations cognitive cognitive bias combined data clusters data gatherers data set definition Delphi determine discriminant analysis distribution function documentation elicitation methods elicitation process elicitation situation estimates example expert data expert judgment data expert’s answer experts provide external experts factor analysis geometric mean granularity group think indicate individual interview inference interactive group interpretation knowledge engineer level of detail mathematical mean median Meyer & Booker multivariate needed normal distribution pairwise comparisons parameters participate particular percentile probability distribution problem problem-solving data problem-solving processes project personnel qualitative quantification question areas random variable reactor risk reason record relationships represent require response mode Saaty sample scale significant solving specific statistical steps uncertainty variance verbal probe weighted mean weights