Functional principal component regression (FPCR) is a promising new method for regressing scalar outcomes on functional predictors. In this article, we present a theoretical justification for the use ...

This is a preview. Log in through your library . Abstract We develop a negative multinomial sampling plan in which observed cell counts are positively correlated. We show that maximum likelihood ...

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...

The MLA (motorized linear actuator) and MEA (motorized electric actuator) series represent a new generation of compact linear motion solutions. Each actuator combines a high-performance stepper or ...