Publisher Summary This chapter summarizes the ability of the models to track the shift in
departure rates induced by the 1982 window plan. All forecasts were based on the …

Stochastic processes are widely used for model building in the social, physical, engineering
and life sciences as well as in financial economics. In model building, statistical inference for …

Conic optimization is a significant and thriving research area within the optimization
community. Conic optimization is the general class of problems concerned with optimizing a …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

In 1982, I published several issues of a samdizat scholarly journal called Random ization
with the aid of an 8-bit, I-MH personal computer with 48K of memory (upgraded to 64K later …

The purpose of this book is to present various results and techniques from the theory of
stochastic processes and in particular diffusion processes that are useful in the study of …

This paper formulates a simple regenerative optimal stopping model of bus engine
replacement to describe the behavior of Harold Zurcher, superintendent of maintenance at …

The prequential approach is founded on the premiss that the purpose of statistical inference
is to make sequential probability forecasts for future observations, rather than to express …

Amongmanyexcitingdevelopmentsinstatistic…, nonlineartimeseriesanddata-
analyticnonparametricmethodshavegreatly advanced along seemingly unrelated paths. In …

" Dynamic Energy Budget (DEB) theory is a formal theory for the uptake and use of
substrates (food, nutrients and light) by organisms and their use for maintenance, growth …