Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

Nonparametric methods form an important core of statistical techniques and are typically used when data do not meet parametric assumptions. Understanding the foundation of these methods, as well as ...

Parallel test is a surefire method for speeding up production, and asynchronous parallel test has long been known as an effective way of significantly improving through-put while making the most of ...

Several new tests are proposed for examining the adequacy of a family of parametric models against large nonparametric alternatives. These tests formally check if the bias vector of residuals from ...

The Annals of Statistics, Vol. 26, No. 4 (Aug., 1998), pp. 1215-1241 (27 pages) We develop a nonparametric Bayes factor for testing the fit of a parametric model. We begin with a nominal parametric ...

SANTA ROSA, Calif.--(BUSINESS WIRE)--Keysight Technologies, Inc. (NYSE: KEYS), a leading technology company that delivers advanced design and validation solutions to help accelerate innovation to ...