Management Science: Time Series Analysis and Forecasting
Can someone Please help? Please number so I can understand.
C111. Consider the following time series data:
Week
1
2
3
4
5
6
Value
18
13
16
11
17
14
Using the naAf?ve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy:
a. Mean absolute error
b. Mean squared error
c. Mean absolute percentage error
d. What is the forecast for week 7?
2. Refer to the time series data in Problem 1. Using the average of all the historical data as a forecast for the next period, compute the following measures of forecast accuracy:
a. Mean absolute error
b. Mean squared error
c. Mean absolute percentage error
d. What is the forecast for week 7?
3. Problems 1 and 2 used different forecasting methods. Which method appears to provide the more accurate forecasts for the historical data? Explain.
Can someone Please help? Please number so I can understand.
C111. Consider the following time series data:
Week
1
2
3
4
5
6
Value
18
13
16
11
17
14
Using the naAf?ve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy:
a. Mean absolute error
b. Mean squared error
c. Mean absolute percentage error
d. What is the forecast for week 7?
2. Refer to the time series data in Problem 1. Using the average of all the historical data as a forecast for the next period, compute the following measures of forecast accuracy:
a. Mean absolute error
b. Mean squared error
c. Mean absolute percentage error
d. What is the forecast for week 7?
3. Problems 1 and 2 used different forecasting methods. Which method appears to provide the more accurate forecasts for the historical data? Explain.
0 comments:
Post a Comment