Tournament of Books 2015

Special Offers see all

Enter to WIN a $100 Credit

Subscribe to
for a chance to win.
Privacy Policy

Visit our stores

    Recently Viewed clear list

    The Powell's Playlist | January 15, 2015

    Mary Helen Specht: IMG The Powell's Playlist: Mary Helen Specht

    Migratory Animals is mostly set in Texas during the first years of the most recent recession, when the cast of characters — an eclectic group... Continue »

Qualifying orders ship free.
Used Hardcover
Ships in 1 to 3 days
Add to Wishlist
Qty Store Section
1 Burnside Mathematics- Statistics

More copies of this ISBN

Exploring Data in Engineering, the Sciences, and Medicine


Exploring Data in Engineering, the Sciences, and Medicine Cover


Synopses & Reviews

Publisher Comments:

The recent dramatic rise in the number of public datasets available free from the Internet, coupled with the evolution of the Open Source software movement, which makes powerful analysis packages like R freely available, have greatly increased both the range of opportunities for exploratory data analysis and the variety of tools that support this type of analysis.

This book will provide a thorough introduction to a useful subset of these analysis tools, illustrating what they are, what they do, and when and how they fail. Specific topics covered include descriptive characterizations like summary statistics (mean, median, standard deviation, MAD scale estimate), graphical techniques like boxplots and nonparametric density estimates, various forms of regression modeling (standard linear regression models, logistic regression, and highly robust techniques like least trimmed squares), and the recognition and treatment of important data anomalies like outliers and missing data. The unique combination of topics presented in this book separate it from any other book of its kind.

Intended for use as an introductory textbook for an exploratory data analysis course or as self-study companion for professionals and graduate students, this book assumes familiarity with calculus and linear algebra, though no previous exposure to probability or statistics is required. Both simulation-based and real data examples are included, as are end-of-chapter exercises and both R code and datasets.

About the Author

Ronald Pearson has held a wide variety of technical positions in both academia and industry, including the DuPont Company, the Swiss Federal Institute of Technology (ETH, Zurich), the Tampere University of Technology in Tampere, Finland, and most recently, the Travelers Companies. Dr. Pearson's experience has included the analysis and modeling of industrial process operating data, the design of nonlinear digital filters for data cleaning applications, the analysis of historical clinical data, and he is currently involved in developing models for predictive analytics applied to large business datasets. His research interests include model structure selection for nonlinear discrete-time dynamic models of empirical data, the algebraic characterization and design of nonlinear digital filters, and the development of exploratory data analysis techniques for large datasets involving mixed data types.

Table of Contents


1. The Art of Analyzing Data

2. Data: Types, Uncertainty and Quality

3. Characterizing Categorical Variables

4. Uncertainty in Real Variables

5. Fitting Straight Lines

6. A Brief Introduction to Estimation Theory

7. Outliers: Distributional Monsters (?) That Lurk in Data

8. Characterizing a Dataset

9. Confidence Intervals and Hypothesis Testing

10. Relations among Variables

11. Regression Models I: Real Data

12. Reexpression: Data Transformations

13. Regression Models II: Mixed Data Types

14. Characterizing Analysis Results

15. Regression Models III: Diagnostics and Refinements

16. Dealing with Missing Data

Product Details

Pearson, Ronald
Oxford University Press, USA
Pearson, Ronald K.
Probability & Statistics - General
Mathematics | Probability
Mathematics | Probability and Statistics
Mathematics | Probability & Statistics
Publication Date:
Grade Level:
Professional and scholarly
250 line illus.
6.4 x 9.4 x 1.7 in 2.713 lb

Other books you might like

  1. Predictive Analytics: Microsoft Excel New Trade Paper $39.99
  2. Killer Analytics: Top 20 Metrics... New Hardcover $50.00
  3. Darwin's Blade Used Hardcover $12.50
  4. Aftershock: The Next Economy and...
    Used Hardcover $9.50

Related Subjects

Arts and Entertainment » Music » General
Engineering » Engineering » General Engineering
Languages » ESL » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Exploring Data in Engineering, the Sciences, and Medicine Used Hardcover
0 stars - 0 reviews
$50.00 In Stock
Product details 792 pages Oxford University Press, USA - English 9780195089653 Reviews:
  • back to top


Powell's City of Books is an independent bookstore in Portland, Oregon, that fills a whole city block with more than a million new, used, and out of print books. Shop those shelves — plus literally millions more books, DVDs, and gifts — here at