Astrostatistical Challenges for the New Astronomy presents a collection of monographs authored by several of the disciplines leading astrostatisticians, i.
The book presents an introduction to Stochastic Processes including Markov Chains, Birth and Death processes, Brownian motion and Autoregressive models.
The matrix laboratory interactive computing environment-MATLAB-has brought creativity to research in diverse disciplines, particularly in designing and programming experiments.
Information Technology for Small Business: Managing the Digital Enterprise provides an overview of how small and medium business enterprises (SMEs) can use flexibility, agility, and anticipation strategies to better utilize information technology and knowledge management.
This book provides a complete and comprehensive reference/guide to Pyomo (Python Optimization Modeling Objects) for both beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners.
Case Studies in Service Innovation provides the reader fresh insight into how innovation occurs in practice, and stimulates learning from one context to another.
Excel has become an important and nearly ubiquitous classroom and office resource for students and practitioners who are faced with solving statistical problems on an everyday basis.
This book provides extensive insight into the possibilities and challenges of XML in building new information management solutions in networked organizations.
Service Level Agreements for Cloud Computing provides a unique combination of business-driven application scenarios and advanced research in the area of service-level agreements for Clouds and service-oriented infrastructures.
The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach.
Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies.
The ability to harness Information Communication Technologies (ICTs) is increasingly at the heart of national competitiveness and sustainable development.
Rapid Application Generation of Business and Finance Software describes a method for developing wide ranging computing applications with emerging software technologies.
A small program is presented to motivate the concerns for programmer productivity and program quality that are the central issues of this set of essays.
The analysis of time series data is an important aspect of data analysis across a wide range of disciplines, including statistics, mathematics, business, engineering, and the natural and social sciences.
This volume presents the published Proceedings of the joint meeting of GUM92 and the 7th International Workshop on Statistical Modelling, held in Munich, Germany from 13 to 17 July 1992.
Looking back at the years that have passed since the realization of the very first electronic, multi-purpose computers, one observes a tremendous growth in hardware and software performance.
Sampling from the posterior distribution and computing posterior quanti- ties of interest using Markov chain Monte Carlo (MCMC) samples are two major challenges involved in advanced Bayesian computation.
Developments in both computer hardware and Perhaps the greatest impact has been felt by the software over the decades have fundamentally education community.
Nonlinear physics continues to be an area of dynamic modern research, with applications to physics, engineering, chemistry, mathematics, computer science, biology, medicine and economics.
