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The flashcards related to quantitative methods will cover these
topics:
- Regression Analysis
- Correlation analysis, coefficient of correlation, coefficient
of determination, regression analysis.
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- Learning Curve
- Learning curves, additional time needed for incremental order
assuming a learning curve.
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- Linear Programming and Transportation Models
- Relationship of marginal cost function to total cost function,
maximization of revenue problems, maximization of profit problems,
linear programming, limitations of linear programming, business
applications utilizing linear programming, shadow prices, goal
programming, constraints, slack variables.
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- Sensitivity Analysis
- Definition of sensitivity analysis.
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- Network Analysis
- Slack time, project scheduling techniques, Gantt charts, program
evaluation and review technique, critical path method probabilistic
time estimates, beta probability distribution vs. normal distribution,
expected completion time, standard deviation, crash time, critical
path, mean completion time and standard deviation for critical
path.
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- Probability Concepts and Expected Value
- Two types of probabilities, mutually exclusive, conditional
probability, joint probability, independent probability, discrete
distributions, continuous distributions, expected value of an
alternative, probability of success vs. failure, critical probability
of variable in an inequity function, primary quantitative method
applications, linear vs. nonlinear functions, linear algebra vs.
matrix algebra, differential calculus, integral calculus.
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- Decision Tree Analysis
- Definition of a decision tree.
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- Simulation
- Definition of simulation, stages of the simulation process.
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- Artificial Intelligence and Expert System Models
- Definition of artificial intelligence, knowledge and database,
inference engine.
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- Other Quantitative Models
- Monte Carlo technique, Markov analysis, game theory, maximax
vs. minimax criterion, operating conditions identified by a queuing
model, objective of a queuing model, two main costs of a queuing
system, examples of queuing systems, assumptions behind queuing
models, Poisson distributions, arrival rate vs. service rate.
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