Understanding Uncertainty

Dennis V. Lindley

ISBN 10: 1118650123 / ISBN 13: 9781118650127

Edité par John Wiley & Sons Inc, 2013

A propos de cet article

With a focus on understanding and using probability calculations, Understanding Uncertainty demystifies probability and explains in straightforward detail the logic of uncertainty, its truths, and its falsehoods. Series: Wiley Series in Probability and Statistics. Num Pages: 424 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 245 x 163 x 27. Weight in Grams: 758. . 2014. Revised. Hardcover. . . . . Books ship from the US and Ireland.

N° de réf. du vendeur V9781118650127

Détails bibliographiques

• Titre: Understanding Uncertainty
• Éditeur: John Wiley & Sons Inc
• Date de parution: 2013
• Langue: anglais
• ISBN à 10 chiffres: 1118650123
• ISBN à 13 chiffres: 9781118650127
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

Praise for the First Edition

"...a reference for everyone who is interested in knowing and handling uncertainty."
--Journal of Applied Statistics

The critically acclaimed First Edition of Understanding Uncertainty provided a study of uncertainty addressed to scholars in all fields, showing that uncertainty could be measured by probability, and that probability obeyed three basic rules that enabled uncertainty to be handled sensibly in everyday life. These ideas were extended to embrace the scientific method and to show how decisions, containing an uncertain element, could be rationally made.

Featuring new material, the Revised Edition remains the go-to guide for uncertainty and decision making, providing further applications at an accessible level including:

• A critical study of transitivity, a basic concept in probability
• A discussion of how the failure of the financial sector to use the proper approach to uncertainty may have contributed to the recent recession
• A consideration of betting, showing that a bookmaker's odds are not expressions of probability
• Applications of the book's thesis to statistics
• A demonstration that some techniques currently popular in statistics, like significance tests, may be unsound, even seriously misleading, because they violate the rules of probability

Understanding Uncertainty, Revised Edition is ideal for students studying probability or statistics and for anyone interested in one of the most fascinating and vibrant fields of study in contemporary science and mathematics.

À propos de l?auteur

DENNIS V. LINDLEY is Professor Emeritus of Statistics and the former Head of Department at University College London. He is a Guy Medalist in Gold of the Royal Statistical Society and a founding organizer and former president of the celebrated Valencia International Meetings on Bayesian Statistics. Professor Lindley has published over 100 scholarly articles and several books, including Making Decisions, also published by Wiley.