Introduction to Management Science (10th Edition)

[Page 789 ( continued )]
calculus

a branch of mathematics that is concerned with the rate of change of functions; the two basic forms of calculus are differential calculus and integral calculus

calling population

the source of customers to a waiting line

carrying cost

the cost incurred by a business for holding items in inventory

causal forecasting methods

a class of mathematical techniques that relate variables to other factors that cause forecast behavior

classical optimization

the use of calculus to find optimal values for variables

classical probability

an a priori probability

coefficient of determination

a measure of the strength of the relationship between the variables in a regression equation

coefficient of optimism

a measure of a decision maker's optimism

collectively exhaustive events

all the possible events of an experiment

concave curve

a curve shaped like an inverted bowl

conditional probability

the probability that one event will occur, given that another event has already occurred

constrained optimization model

a model that has a single objective function and one or more constraints

constraint

a mathematical relationship that represents limited resources or minimum levels of activity in a mathematical programming model

continuous distribution

a probability distribution in which the random variables can equal an infinite number of values within an interval

continuous random variable

a variable that can take on an infinite number of values within some interval

convex curve

a curve shaped like an upright bowl

correlation

a measure of the strength of the causal relationship between the independent and dependent variables in a linear regression equation

critical path

the longest path through a CPM/PERT network; it indicates the minimum time in which a project can be completed

critical path method (CPM)

a network technique that uses deterministic activity times for project planning and scheduling

cumulative error

a sum of the forecast errors

cumulative probability distribution

a probability distribution in which the probability of an event is added to the sum of the probabilities of the previously listed events

cycle

movement up or down during a trend in a forecast

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