Exponential Smoothing in Calc

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# Exponential Smoothing

Results in a smoothed data series

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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.

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

### Data

Inddataområde: Referencen til det dataområde som skal analyseres.

Resultater til: Referencen til den øverste venstre celle af det område, hvor resultatet skal vises.

### Grupperet efter

Vælg om inddataområdet har layout som kolonner eller rækker.

## Parameters

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

#### Eksempel

Følgende tabel har to serier med tid, en som repræsenterer en impulsfunktion ved tid t=0 og den anden en impulsfunktion ved tid 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:

Alpha |
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

Relaterede emner

Sampling

Descriptive Statistics

Analysis of Variance (ANOVA)

Correlation

Covariance

Exponential Smoothing

Moving Average

Regressionsanalyse

Paired t-test

F-test

Z-test

Chi-square test

Fourier-analyse