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of Leisure Copyright of Leisure Copyright

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of Leisure Copyright - PPT Presentation

No 4 pp 441454 National Park Association a a finds a a absolute mean square error a a 1 a a A Extrapolative Methods 1 1 2 2 t figures moving average SMA with decomposition figures A exponential smoo ID: 869425

time forecasting figures business forecasting time business figures absolute square rmspe method mape series seasonal smoothing average exponential error

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1 of Leisure Copyright No. 4, pp. 441-454
of Leisure Copyright No. 4, pp. 441-454 National Park Association a a finds a a absolute mean square

2 error & a & & a 1 & a a A Extr
error & a & & a 1 & a a A Extrapolative Methods 1. 1 & 2. 2 t figures & moving average (SMA

3 ) with decomposition. figures & A ex
) with decomposition. figures & A exponential smoothing a a a Methods exponential smoothing (DES):

4 Brown's Time Forecasting A a a a A
Brown's Time Forecasting A a a a A V . . a first fitted (d a a fitting a a a a a seasonal

5 autoregressive integrated moving averag
autoregressive integrated moving average (SAJRIMA). & & a Absolute (MAPE) a a a a Mean Square (RMS

6 PE) fish a a a first a figures a
PE) fish a a a first a figures a a . . . , a 1 Performance 1 2 forecasts a a 2 a a 2

7 of Appropriate Method for the Milwaukee
of Appropriate Method for the Milwaukee County Zoo 1 2 a a a and Limits of for 1 2 A a a a a 3

8 and Disadvantages of Listed Seasonal
and Disadvantages of Listed Seasonal 2 a readily a . . . a & Research guide to adjustment with X

9 -ll series & series method applicatio
-ll series & series method applications & Administration of Forecasting, 4(1), business practical to

10 smooth- and & Royal Statistical &
smooth- and & Royal Statistical & & & theory Tourism business & & business forecasting & de- &

11 A Journal of Forecasting, 11(3), Manag
A Journal of Forecasting, 11(3), Management, 18(8), Time Forecasting Time Forecasting F A • • • + + -

12 a A Time Forecasting + - Y,+ T,
a A Time Forecasting + - Y,+ T, = - + - = + - = + - - Forecasting = = = + h; = a =

13 = = = = = = = S = = = - = =
= = = = = = = S = = = - = = = ~ of Error Magnitude Measurement £ = - * X . = / Mean Absolu

14 te (MAPE) Mean Square (RMSPE) Study t
te (MAPE) Mean Square (RMSPE) Study t . . . , — + I * r = 1, . . . , ^ \ « ti sin • ^ • ^ r , - , t =