Analyzing Data Through Probabilistic Modeling in Statistics is an essential reference source that builds on the available literature in the field of probabilistic modeling, statistics, operational research, planning and scheduling, data extrapolation in decision making, probabilistic interpolation and extrapolation in simulation, stochastic processes, and decision analysis. This text will provide the resources necessary for economics and management sciences and for mathematics and computer sciences. This book is ideal for interested technology developers, decision makers, mathematicians, statisticians and practitioners, stakeholders, researchers, academicians, and students looking to further their research exposure to pertinent topics in operations research and probabilistic modeling.

Topics Covered
The many academic areas covered in this publication include, but are not limited to:
•Data Analysis
•Decision Analysis
•Decision Making
•Mathematical Modeling
•Optimization Methods
•Probabilistic Methods in Planning
•Probabilistic Modeling
•Process Modeling
•Risk Analysis
•Statistics