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 ...

Significance testing, with appropriate multiple testing correction, is currently the most convenient method for summarizing the evidence for association between a disease and a genetic variant.

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 ...

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 ...

This is a preview. Log in through your library . Abstract A nonparametric statistical test of the performance of ordinations is adapted and extended from the work of Feigin and Cohen (1978). Two ...

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 ...

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