Data Analysis

What Can Be Learned From the Past 50 Years de

Éditeur :

Wiley


Collection :

Wiley Series in Probability and Statistics

Paru le : 2012-01-09

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
136,04

Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description
This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data should be tested? Which machine languages should be used, if used at all? Emphasis on apprenticeship (through hands-on case studies) and anecdotes (through real-life applications) are the tools that Peter J. Huber uses in this volume. Concern with specific statistical techniques is not of immediate value; rather, questions of strategy – when to use which technique – are employed. Central to the discussion is an understanding of the significance of massive (or robust) data sets, the implementation of languages, and the use of models. Each is sprinkled with an ample number of examples and case studies. Personal practices, various pitfalls, and existing controversies are presented when applicable. The book serves as an excellent philosophical and historical companion to any present-day text in data analysis, robust statistics, data mining, statistical learning, or computational statistics.
Pages
234 pages
Collection
Wiley Series in Probability and Statistics
Parution
2012-01-09
Marque
Wiley
EAN papier
9781118010648
EAN PDF
9781118018248

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
234
Taille du fichier
10035 Ko
Prix
136,04 €
EAN EPUB
9781118018262

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
234
Taille du fichier
4127 Ko
Prix
136,04 €