Having data is only half the battle. How do you know your data actually means something? With some simple Python code, you can quickly check if differences in data are actually significant. In ...

Statistical testing and lower bounds in distributed estimation constitute a rapidly evolving area that addresses both the design of robust tests for assessing data properties across networked systems ...

High-dimensional statistical testing and covariance analysis constitute a rapidly evolving field that addresses the challenges inherent in analysing datasets where the number of variables often ...

Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have ...

The books Lies, Damn Lies, and Statistics (Wheeler, 1976) and Damned Lies and Statistics (Best, 2001) have raised questions about whether statistics can be trusted. A number of educated people today, ...

Unfortunately, this book can't be printed from the OpenBook. Visit NAP.edu/10766 to get more information about this book, to buy it in print, or to download it as a free PDF.

Milpitas, Calif. – As 130- and 90-nanometer processes move deeper into production, new statistical techniques are replacing the go/no-go orientation of traditional ASIC testing. LSI Logic Corp. this ...

Methods of measuring statistical test sensitivity (signal-to-noise ratio) were published by John Mandel in 1964 and incorporated into ASTM D6600 in 2000, mainly to provide a means of determining the ...

From all my years in research and consulting, I think I’ve learned a thing or two about marketing worth sharing. Enduring fundamentals, mostly—yet often overlooked. So, over the course of my biweekly ...