The computer monitoring of tracking signals and self-adjustment is referred to a
ID: 3235918 • Letter: T
Question
The computer monitoring of tracking signals and self-adjustment is referred to as (a) exponential smoothing. (b) adaptive smoothing. (c) trend projections. (d) trend smoothing. (e) running sum of forecast errors (RFSE). Which of the following are reasons that a quantitative analysis technique might fail to solve a problem? (a) underestimating the total cost of developing the model (b) underestimating the total time required to implement the solution (c) sensitivity analysis shows changes in the model parameters results in changes to the solution (d) none of the above Which of the following statement(s) are true regarding the advantages of mathematical modelling: (a) Models accurately represent reality. (b) Models can help decision makers formulate problems. (c) Models can save time. (d) all of the above Expected monetary value (EMV) is (a) the average or expected monetary outcome of a decision if it can be repeated a large number of (b) the average or expected value of the decision, if you know what would happen ahead of time. (c) the average or expected value of information if it were completely accurate. (d) the amount you would lose by not picking the best alternative. As one increases the number of periods used in the calculation of a moving average, (a) greater emphasis is placed on more recent data. (b) less emphasis is placed on more recent data. (c) the emphasis placed on more recent data remains the same. (d) it requires a computer to automate the calculations. (e) one is usually looking for a long-term prediction. Which of the following is not a characteristic of trend projections? (a) The variable being predicted is the Y variable. (b) Time is the X variable (c) It is useful for predicting the value of one variable based on time trend. (d) A negative intercept term always implies that the dependent variable is decreasing (e) They are often developed using linear regression. When both trend and seasonal components are present in time series, which of the appropriate? (a) the use of centered moving averages (b) the use of moving averages (c) the use of simple exponential smoothing (d) the use of weighted moving averages (e) the use of double smoothingExplanation / Answer
13 ans) option e all the above
14 ans) option a its basic defintion
15 aans) option b
16 ans) option e
17 ans) option a
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