Data Analysis: What Can Be Learned From the Past 50 Years: 874 (Wiley Series in Probability and Statistics) - Image 1

£93.89

Wiley Data Analysis: What Can Be Learned From the Past 50 Years: 874 (Wiley Series in Probability and Statistics)

Name: Data Analysis: What Can Be Learned From the Past 50 Years: 874 (Wiley Series in Probability and Statistics)
Brand: Wiley
Price: 93.89 GBP
Availability: InStock

Higher Education

About as cheap as it gets. The only time it was cheaper was 11 months ago.

£94 today · all-time low £91 (Jun 2025) · usually the usual

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 640 days • 640 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 640 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £101 (307 days, 48.0%)

Price range: £92 - £101

Price levels: 6 different prices over 640 days

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.

Product Specifications

Brand: Wiley
Format: Hardcover
ASIN: 1118010647
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Education > Higher Education
Domain: Amazon UK
Release Date: 10 May 2011
Listed Since: 11 October 2010

Barcode

No barcode data available

Wiley Data Analysis: What Can Be Learned From the Past 50 Years: 874 (Wiley Series in Probability and Statistics)

About as cheap as it gets. The only time it was cheaper was 11 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Handbook of Big Data Research Methods (Research Handbooks in Information Systems)

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series)

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC: The R Series)

Foundations of Data Science for Engineering Problem Solving: 94 (Studies in Big Data, 94)

Applied Data Analytics - Principles and Applications (River Publishers Series in Signal, Image and Speech Processing)

Springer Advanced Data Analytics in Health - Smart Innovation 93

Three Approaches to Data Analysis: Test Theory, Rough Sets and Logical Analysis of Data: 41 (Intelligent Systems Reference Library, 41)

No Bullshit Math for Data Science: Your Comprehensive, Short and Sharp Guide to the Mathematics of Data Science

Perspectives on Big Data Analysis: Methodologies and Applications: International Workshop on Perspectives on High-Dimension Data Anlaysis II, May ... Quebec, Canada (Contemporary Mathematics)

Analysis of Multivariate and High-Dimensional Data: Series Number 32 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 32)

Big Data Analysis: New Algorithms for a New Society: 16 (Studies in Big Data, 16)

Selected Contributions on Statistics and Data Science in Latin America: 33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1-5: 301 (Springer Proceedings in Mathematics & Statistics, 301)

Data Analysis for Business, Economics, and Policy

Thinking With Data (Carnegie Mellon Symposia on Cognition Series)

Big Data Management and Analytics: Concepts, Tools, and Applications

Data Analytics for Business: Foundations and Industry Applications

Data and Analytics Strategy for Business: Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy

Data Science in Practice: 46 (Studies in Big Data, 46)

Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science Series)

Effective Data Analysis: Hard and Soft Skills to Accelerate Your Career

Data Analysis for Business, Economics, and Policy

Transparent Data Mining for Big and Small Data: 32 (Studies in Big Data, 32)

The Essentials of Data Science: Knowledge Discovery Using R (Chapman & Hall/CRC: The R Series)

Practical Data Analysis with JMP, Third Edition