We introduce novel regression extrapolation based methods to correct the often large bias in subsampling variance estimation as well as hypothesis testing for spatial point and marked point processes.

In the presence of covariate measurement error, there has been extensive interest in developing estimation methods for parameters associated with various survival ...

For more than 40 years, null-hypothesis significance testing and P values have been questioned by statistical commentators, their utility criticized on philosophical and practical grounds 1. Luckily, ...

Process capability indices (PCIs) have long served as crucial metrics in assessing the performance and quality of manufacturing processes. Recent advances in statistical estimation techniques have not ...

Provides a one-semester course in probability and statistics with applications in the engineering sciences. Probability of events, discrete and continuous random variables cumulative distribution, ...