Peramalan di R
Rob J. Hyndman
Professor of Statistics at Monash University
Notasi Peramalan: $\hat y_{t + h \vert t} = \text{ ramalan titik } \ \hat y_{t + h} \ \text{berdasarkan data }\ y_1,...,y_t$
Persamaan Peramalan: $\hat y_{t + h \vert t} = \alpha y_t + \alpha (1-\alpha ) y_{t-1} + \alpha (1-\alpha )^2 y_{t-2} +...$
$$dengan \ 0 \leq \alpha \leq 1 $$
| Observasi | $\alpha$ = 0.2 | $\alpha$ = 0.4 | $\alpha$ = 0.6 | $\alpha$ = 0.8 |
|---|---|---|---|---|
| $y_t$ | 0.2 | 0.4 | 0.6 | 0.8 |
| $y_{t-1}$ | 0.16 | 0.24 | 0.24 | 0.16 |
| $y_{t-2}$ | 0.128 | 0.144 | 0.096 | 0.032 |
| $y_{t-3}$ | 0.1024 | 0.0864 | 0.0384 | 0.0064 |
| $y_{t-4}$ | (0.2)(0.8)$^4$ | (0.4)(0.6)$^4$ | (0.6)(0.4)$^4$ | (0.8)(0.2)$^4$ |
| $y_{t-5}$ | (0.2)(0.8)$^5$ | (0.4)(0.6)$^5$ | (0.6)(0.4)$^5$ | (0.8)(0.2)$^5$ |
| Bentuk komponen | |
|---|---|
| Persamaan ramalan | $\hat{y}_{t+h \mid t} = \ell_t$ |
| Persamaan pemulusan | $\ell_t = \alpha y_t + (1-\alpha)\ell_{t-1}$ |
$$SSE = \sum_{t=1}^T (y_t - \hat y_{t\vert t-1})^2$$
oildata <- window(oil, start = 1996) # Data minyak
fc <- ses(oildata, h = 5) # Pemusatan eksponensial sederhana
summary(fc)
Metode ramalan: Pemusatan eksponensial sederhana
Informasi model:
Pemusatan eksponensial sederhana
Call:
ses(y = oildata, h = 5)
Parameter pemulusan:
alpha = 0.8339
Keadaan awal:
l = 446.5759
sigma: 28.12
*** Dipersingkat karena keterbatasan ruang
autoplot(fc) +
ylab("Oil (millions of tonnes)") + xlab("Year")

Peramalan di R