Chapter 5 argued that substantial improvements in the cost-effectiveness of operational testing can be achieved by test planning and state-of-the-art statistical methods for test design. It was also ...

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, ...

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 ...

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 ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

What is the Friedman test? The Friedman test, also sometimes referred to as Friedman’s two-way analysis of variance by ranks, is a non-parametric statistical test used to investigate whether groups of ...

Suggested Citation: "1 Introduction." National Research Council. 1998. Statistics, Testing, and Defense Acquisition: New Approaches and Methodological Improvements ...