Decision Sciences

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advanced forecasting techniques
Age Group_Uncategorized
Age Group_Uncategorized
Algorithm and Design
Arch Model
ARMA GARCH Model
ARMA Model
automatic-update
B01=Aparna Gupta
B01=Joydeep Dutta
B01=Raghu Nandan Sengupta
Category1=Non-Fiction
Category=GPQ
Compound Poisson Demands
computational intelligence
COP=United States
Data Envelopment Analysis
Data Set
DEA Problem
Decision Models
Decision Support System
Delivery_Delivery within 10-20 working days
Directional Distance Function
Efficient Unit Root Tests
eq_isMigrated=2
eq_nobargain
Evolutionary Algorithms
Game Theory
GARCH Family
GARCH Model
graduate decision science reference
Input Output Bundle
Inventory Theory
Language_English
Ma
mathematical modeling
Metaheuristic Techniques
Multi-objective Optimization
Nash Equilibrium
Neural Networks
News Impact Curve
NSGA
operations research
Optimization
PA=Available
Pareto Optimal Front
Pareto Optimal Set
Pareto Optimal Solutions
Player P1
Price_€100 and above
Proximal Point Method
PS=Active
Queueing Theory
Reference Point Methods
resource allocation strategies
Simulation Modeling
softlaunch
Standard SV Model
Statistical Methods
Stochastic Kriging
stochastic processes
SV Model
Time Series Modeling
ZDT2 Problem

Product details

  • ISBN 9781466564305
  • Weight: 2080g
  • Dimensions: 178 x 254mm
  • Publication Date: 26 Oct 2016
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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This handbook is an endeavour to cover many current, relevant, and essential topics related to decision sciences in a scientific manner. Using this handbook, graduate students, researchers, as well as practitioners from engineering, statistics, sociology, economics, etc. will find a new and refreshing paradigm shift as to how these topics can be put to use beneficially. Starting from the basics to advanced concepts, authors hope to make the readers well aware of the different theoretical and practical ideas, which are the focus of study in decision sciences nowadays. It includes an excellent bibliography/reference/journal list, information about a variety of datasets, illustrated pseudo-codes, and discussion of future trends in research.

Covering topics ranging from optimization, networks and games, multi-objective optimization, inventory theory, statistical methods, artificial neural networks, times series analysis, simulation modeling, decision support system, data envelopment analysis, queueing theory, etc., this reference book is an attempt to make this area more meaningful for varied readers. Noteworthy features of this handbook are in-depth coverage of different topics, solved practical examples, unique datasets for a variety of examples in the areas of decision sciences, in-depth analysis of problems through colored charts, 3D diagrams, and discussions about software.

Raghu Nandan Sengupta, Aparna Gupta, Joydeep Dutta