عنوان

Data analysis :

شابک

1118010647

شابک

9781118010648

شماره

dltt

عنوان اصلي

Data analysis :

نام عام مواد

[Book]

ساير اطلاعات عنواني

what can be learned from the past 50 years /

نام نخستين پديدآور

Peter J. Huber

محل نشرو پخش و غیره

Hoboken, N.J. :

نام ناشر، پخش کننده و غيره

Wiley,

تاریخ نشرو بخش و غیره

©2011

نام خاص و کميت اثر

xiv, 210 pages :

ساير جزييات

illustrations ;

ابعاد

25 cm

عنوان فروست

Wiley series in probability and statistics

متن يادداشت

Includes bibliographical references and index

متن يادداشت

What is data analysis? -- Strategy issues in data analysis -- Massive data sets -- Languages for data analysis -- Approximate models -- Pitfalls -- Create order in data -- More case studies

بدون عنوان

0

متن يادداشت

"This book explores the many provocative questions concerning the fundamentals of data analysis"--

متن يادداشت

"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"--Provided by publisher

موضوع مستند نشده

Mathematical statistics-- History

موضوع مستند نشده

Mathematical statistics-- Philosophy

موضوع مستند نشده

Numerical analysis-- Methodology

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Huber, Peter J

تاريخ عمليات

20180312034121.0

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y