Mots-clés
Documents disponibles dans cette catégorie (33)
![](./images/expand_all.gif)
![](./images/collapse_all.gif)
![Tris disponibles](./images/orderby_az.gif)
Etendre la recherche sur niveau(x) vers le haut et vers le bas
Uncertain judgements / John Wiley & Sons (2006)
Titre : Uncertain judgements : eliciting experts' probabilities Type de document : Livre Editeur : John Wiley & Sons Année de publication : 2006 Collection : Statistics in practice Importance : xiii, 321 p. ISBN/ISSN/EAN : 978-0-470-02999-2 Prix : 68 EUR Note générale : Glossaire. Bibliogr. p.267-306. Index. Langues : Anglais (eng) Mots-clés : Management
STATISTIQUE ; STATISTIQUE MATHEMATIQUERésumé : Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities, and formulating that information as a probability distribution. Elicitation is important in situations, such as modelling the safety of nuclear installations or assessing the
risk of terrorist attacks, where expert knowledge is essentially the only source of good information. It also plays a major role in other contexts by augmenting scarce observational data, through the use of Bayesian statistical methods. However, elicitation is not a simple task, and practitioners need to be aware of a wide range of research findings in order to elicit expert judgements accurately and reliably. Uncertain Judgements introduces the area, before guiding the reader through the study of appropriate elicitation methods, illustrated by a variety of multi-disciplinary examples.
This is achieved by:
Presenting a methodological framework for the elicitation of expert knowledge incorporating findings from both statistical and psychological research.
Detailing techniques for the elicitation of a wide range of standard distributions, appropriate to the most common types of quantities.
Providing a comprehensive review of the available literature and pointing to the best practice methods and future research needs.
Using examples from many disciplines, including statistics, psychology, engineering and health sciences.
Including an extensive glossary of statistical and psychological terms.
An ideal source and guide for statisticians and psychologists with interests in expert judgement or practical applications of Bayesian analysis, Uncertain Judgements will also benefit decision-makers, risk analysts, engineers and researchers in the medical and social sciences.Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=156006 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 044868 519.5/UNC Livre Library Campus de Reims Salle de lecture Sorti jusqu'au 20/03/2020
Titre : Eliciting and analyzing expert judgment : a practical guide Type de document : Livre Auteurs : Mary A. MEYER, Auteur ; Jane M. BOOKER, Auteur Editeur : SIAM Année de publication : 2001 Collection : ASA-SIAM series on statistics and applied probability Importance : xxxii, 459 p. ISBN/ISSN/EAN : 978-0-89871-474-6 Prix : 115 EUR Note générale : Annexe. Glossaire. Bibliogr. p.441-449. Index. Langues : Anglais (eng) Mots-clés : Management
STATISTIQUE ; STATISTIQUE MATHEMATIQUERésumé : Expert 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. Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=156014 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 044888 153.4/MEY Livre Library Campus de Reims Salle de lecture Sorti jusqu'au 20/03/2020
Titre : Statistics: The Art and Science of Learning from Data, Global Edition Type de document : e-book ISBN/ISSN/EAN : 978-1-292-16483-0 Langues : Anglais (eng) Mots-clés : Management
ANALYSE DES DONNEES ; STATISTIQUE MATHEMATIQUERésumé : For courses in introductory statistics. The Art and Science of Learning from Data Statistics: The Art and Science of Learning from Data, Fourth Edition, takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analyzing data, rather than just memorizing procedures. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible, without compromising the necessary rigor. Students will enjoy reading this book, and will stay engaged with its wide variety of real-world data in the examples and exercises. The authors believe that it's important for students to learn and analyze both quantitative and categorical data. As a result, the text pays greater attention to the analysis of proportions than many other introductory statistics texts. Concepts are introduced first with categorical data, and then with quantitative data. MyStatLab(TM) not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyStatLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts. Nombre d'accès : 1 En ligne : http://www.vlebooks.com/vleweb/product/openreader?id=Neoma&accId=9169105&isbn=97 [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=505571
![rss](https://cataloguelibrary.neoma-bs.fr/images/rss.png)
-
59 Rue Taittinger, 51100 Reims
-
00 33 (0)3 26 77 46 15
-
Library Campus Reims
-
1 Rue du Maréchal Juin, BP 215
76825 Mont Saint Aignan cedex -
00 33 (0)2 32 82 58 26
-