Hierarchical models provide reliable statistical estimates for data sets from high-throughput experiments where measurements vastly outnumber experimental samples.

Various forms of statistical analysis have been applied to NDT reliability data in the literature. In this paper we discuss some general issues which arise in the design and analysis of NDT ...

This report is a study of statistical models and methods for analyzing nonstandard mixtures of distributions in auditing. It was prepared by the Committee on Applied and Theoretical Statistics of the ...

A second course in statistics with an emphasis on data analysis with applications in the social sciences. Students will gain hands on experience using R-- a programming language and software ...

Nonparametric statistics are statistical methods that do not assume data follows a specific distribution model defined by a limited number of parameters, allowing for greater flexibility in analysis.

Google is expanding its AI model family while addressing some of the biggest issues in the domain. Today, the company debuted DataGemma, a pair of open-source, instruction-tuned models that take a ...

Statistical modeling continues to deliver distinct value to businesses both independent of, and in concert with, machine learning.

Researchers have created a statistical method that may allow public health and infectious disease forecasters to better predict disease reemergence, especially for preventable childhood infections ...

A statistical model -- now an easy-to-use software tool -- local police can use to identify a series of related crimes and nab a suspect has been unveiled. Crime linkage is the investigative ...