Author: Michael Evans
Publisher: Cambridge University Press
Release Date: 2011-04-01
Genre: Juvenile Nonfiction
The Essential VCE Mathematics series has a reputation for mathematical excellence, with an approach developed over many years by a highly regarded author team of practising teachers and mathematicians. This approach encourages understanding through a wealth of examples and exercises, with an emphasis on VCE examination-style questions. New in the enhanced versions: • TI-Nspire OS3 and Casio ClassPad calculator explanations, examples and problems are integrated into the text. • Page numbers in the printed text reflect the previous TI-nspire and Casio ClassPad version allowing for continuity and compatibility. • Digital versions of the student text are available in Interactive HTML and PDF formats through Cambridge GO.
On a dark and stormy night, Archie and his friends scared themselves silly with a bunch of ghost stories! Did you know Riverdale was haunted? Neither did the gang! Steel your nerves and read 50 pages of the silliest, spookiest ghost stories ever told. Are you a fraidy cat? Prove it and start reading!
Author: Giuseppe De Marco
Publisher: Lampi di stampa
Release Date: 1999-01-01
Il volume è la seconda parte di un'opera che può essere usata come libro di testo per il corso di Analisi Matematica II nei corsi di laurea in Fisica, Matematica, Ingegneria, Scienze Statistiche. Il testo è corredato da esempi, figure ed esercizi, in parte completamente svolti, in parte con suggerimento per la risoluzione.
Author: Wolfgang Jank
Publisher: John Wiley & Sons
Release Date: 2010-12-01
Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make important business decisions. As a result, new statistical ideas and innovation are needed to understand bidders, sellers, and prices. Combining methodologies from the fields of statistics, data mining, information systems, and economics, Modeling Online Auctions introduces a new approach to identifying obstacles and asking new questions using online auction data. The authors draw upon their extensive experience to introduce the latest methods for extracting new knowledge from online auction data. Rather than approach the topic from the traditional game-theoretic perspective, the book treats the online auction mechanism as a data generator, outlining methods to collect, explore, model, and forecast data. Topics covered include: Data collection methods for online auctions and related issues that arise in drawing data samples from a Web site Models for bidder and bid arrivals, treating the different approaches for exploring bidder-seller networks Data exploration, such as integration of time series and cross-sectional information; curve clustering; semi-continuous data structures; and data hierarchies The use of functional regression as well as functional differential equation models, spatial models, and stochastic models for capturing relationships in auction data Specialized methods and models for forecasting auction prices and their applications in automated bidding decision rule systems Throughout the book, R and MATLAB software are used for illustrating the discussed techniques. In addition, a related Web site features many of the book's datasets and R and MATLAB code that allow readers to replicate the analyses and learn new methods to apply to their own research. Modeling Online Auctions is a valuable book for graduate-level courses on data mining and applied regression analysis. It is also a one-of-a-kind reference for researchers in the fields of statistics, information systems, business, and marketing who work with electronic data and are looking for new approaches for understanding online auctions and processes. Visit this book's companion website by clicking here