We propose a family of copula-based multivariate distributions with g-and-h marginals. After studying the properties of the distribution, we develop a two-step estimation strategy and analyze via ...

Revised edition of: Multivariate data analysis with readings. 4th ed. c1995. SERCMAI copy 39088009202680 has bookplate: Smithsonian Libraries Adopt-a-Book program. Adopted by David and Erin Hardy on ...

We adapt a semi-Bayesian hierarchical modeling framework to jointly characterize the space–time variability of seasonal precipitation totals and precipitation extremes across the Northern Great Plains ...

Extending the Eaves et al Markov model for genetically informative data to the multivariate case is described. At the time of writing, this model has not yet been implemented in a software script, so ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...