The analysis prediction and interpolation of economic and other time series has a long history an...

This graduate level text is distinguished both by the range of topics and the novelty of the mate...

In recent years, the study of difference equations has acquired a new significance, due in large ...

Kernel smoothing refers to a general methodology for recovery of underlying structure in data set...

This book provides a comprehensive survey of the most recent methodology--both theoretical and ap...

This book contains several fundamental ideas that are revived time after time in different guises...

This comprehensive text provides all information necessary for an introductory course on the calc...

The programme of this book was projected in a survey written by J.L. Ericksen for SIAM News (see ...

This book on multivariate models, statistical inference, and data analysis contains deep coverage...

Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in ...