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Data Analysis - What Can Be Learned From the Past 50 Years

Name: Data Analysis - What Can Be Learned From the Past 50 Years
Brand: John Wiley & Sons Inc
SKU: 9781118010648
Price: 581.21 PLN
Availability: InStock

Autor: Peter J. Huber

Język:

Oprawa: Twarda

Wydawca: John Wiley & Sons Inc

Dostępność: Dostępna u dostawcy

Wysyłamy za 9-15 dni

581.21 zł

This book explores the many provocative questions concerning the fundamentals of data analysis. It i...

Informacje o książce

Autor

Peter J. Huber

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2011

strony

234

EAN

9781118010648

ISBN

1118010647

Enbook ID

02590578

Wydawca

John Wiley & Sons Inc

Waga

464

Wymiary

163 x 235 x 17

Pełny opis

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.