Eksponentsilumine

Results in a smoothed data series

Selle kÀsu kasutamiseks...

From the menu bar:

Choose Data - Statistics - Exponential Smoothing

From the tabbed interface:

Choose Data - Statistics - Exponential Smoothing.

On the Data menu of the Data tab, choose Statistics - Exponential Smoothing.


Exponential smoothing is a filtering technique that when applied to a data set, produces smoothed results. It is employed in many domains such as stock market, economics and in sampled measurements.

MĂ€rkuse ikoon

For more information on exponential smoothing, refer to the corresponding Wikipedia article.


Andmed

Vahemik: ala, mis sisaldab andmeid, mida tuleb analĂŒĂŒsida.

Tulemused: viide lahtrivahemiku, kuhu tulemused vĂ€ljastatakse, ĂŒlemisele vasakpoolsele lahtrile.

RĂŒhmitamine

Vali, kas sisendandmed paiknevad veergudes vÔi ridades.

Fail nÀidisega:

Parameetrid

Smoothing Factor: A parameter between 0 and 1 that represents the damping factor Alpha in the smoothing equation.

NĂ€ide

The following table has two time series, one representing an impulse function at time t=0 and the other an impulse function at time t=2.

 

A

B

1

1

0

2

0

0

3

0

1

4

0

0

5

0

0

6

0

0

7

0

0

8

0

0

9

0

0

10

0

0

11

0

0

12

0

0

13

0

0


The resulting smoothing is below with smoothing factor as 0.5:

Alfa

0.5

Column 1

Column 2

1

0

1

0

0.5

0

0.25

0.5

0.125

0.25

0.0625

0.125

0.03125

0.0625

0.015625

0.03125

0.0078125

0.015625

0.00390625

0.0078125

0.001953125

0.00390625

0.0009765625

0.001953125

0.0004882813

0.0009765625

0.0002441406

0.0004882813


Palun toeta meid!

Palun toeta meid!