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March 2013

Sun, 03/10/2013 - 10:46am

Scientific Computing’s focused coverage of software and related hardware technologies for the scientific and engineering communities highlights the latest applications, best practices, and integration strategies that can aid in advancing research and in delivering quality results better, faster, and cheaper. Areas of focus include informatics, data analysis, data acquisition, integration and interfacing, and automation.

Click on the links below to view this edition:

INFORMATICS

  4 Big Data, Big Science, Big Collaboration

Delivering Connected R&D for Better Value

DATA ANALYSIS

  8 Common Errors in Statistics (and How to Avoid Them)

This book may be profitably used by scientists, physicians, lawyers, business types and students

10 Dealing with Collinearity

During creation of regression models, collinearity can occur, which causes invalid results for individual regressors

ELN

13 Bridging the Development-to-Quality Divide

Is ELN up to the challenge?

HIGH PERFORMANCE COMPUTING

17 A Terabyte on Your Keychain

SSDs generate new products, double-digit growth and corporate acquisitions


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