An event is something that takes place—an occurrence and arbitrary point in time. The term also refers to a significant occurrence or happening, or a social gathering or activity.

Individuals define an event's significance subjectively; people actively and retroactively compartmentalize their lives and history in terms of epochs delimited by events considered to be significant.

Culture

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• A special occasion, such as a wedding or other party, is a social event.

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Wiley: All New Mathematics & Statistics Titles

Business Math For Dummies
Mary Jane Sterling Mon, 30 Jun 2008 04:00:00 -0000
  The essential desk reference for every business professional or student This easy-to-understand resource explains complex mathematical concepts and formulas and offers clear examples of how they relate to real-world business situations. Featuring practical practice problems to help readers hone their skills, it covers such key topics as working with percents to calculate increases and decreases, Read More...
Uncertainty in Industrial Practice: A Guide to Quantitative Uncertainty Management
Etienne de Rocquigny (Editor), Dr. Nicolas Devictor (Editor), Dr. Stefano Tarantola (Editor) Mon, 30 Jun 2008 04:00:00 -0000
  There is a growing demand from institutional bodies for the justification of industrial methodologies and practices (e.g. safety criteria, environmental protection and control, maintenance and design optimization). Previous books in this area have either been too theoretical, or too specific in their scope. Uncertainty in Industrial Practice aims to provide a practical reference on uncertainty treatment for all types of industry, Read More...
Generalized, Linear, and Mixed Models, 2nd Edition
Charles E. McCulloch, Shayle R. Searle, John M. Neuhaus Mon, 30 Jun 2008 04:00:00 -0000
  An accessible and self-contained introduction to statistical models-now in a modernized new edition Generalized, Linear, and Mixed Models, Second Edition provides an up-to-date treatment of the essential techniques for developing and applying a wide variety of statistical models. The book presents thorough and unified coverage of the theory behind generalized, linear, and mixed models and highlights their similarities and differences in various Read More...
Bayesian Approach to Inverse Problems
Jérôme Idier (Editor) Mon, 30 Jun 2008 04:00:00 -0000
  Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from acoustic or electromagnetic measurements at its surface is an essential problem of non-destructive evaluation. The concept of inverse problems precisely originates from the idea of inverting the laws of physics to recover a quantity of interest Read More...
Time Series Analysis: Forecasting and Control, 4th Edition
George E. P. Box, Gwilym M. Jenkins, Gregory C. Reinsel Mon, 30 Jun 2008 04:00:00 -0000
  This is a revision of a classic, seminal, and authoritative book that has been the model for most books on the topic written since 1970. It focuses on practical techniques throughout, rather than a rigorous mathematical treatment of the subject. It explores the building of stochastic (statistical) models for time series and their use in important areas of application forecasting, model specification, Read More...
Numerical Methods for Ordinary Differential Equations, 2nd Edition
John Butcher Mon, 23 Jun 2008 04:00:00 -0000
  Authored by one of the world’s leading authorities on numerical methods this update of one of the standard references on numerical analysis, outlines recent developments in the field and presenting a detailed overview of the area. The only book to provide both a detailed treatment of Runge-Kutta methods and a thorough exposition of general linear methods, it also provides practical guidance on solving equations associated with general linear Read More...

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