/// <summary>
/// Prosedur untuk menghitung dekomposisi dengan metode aditif
/// </summary>
private void Additive()
{
//menghitung seasonal index
ssnl = new SeasonalIndex(this.y, this.seasonalLength, false);
//mendefinisikan data seasonal
int index = 0;
for (int i = 0; i < this.n; i++)
{
this.seasonal[i] = ssnl.SEASONAL[index];
index++;
if (index == this.seasonalLength)
{
index = 0;
}
}
//Melakukan penghitungan nilai deseasonal
for (int i = 0; i < this.n; i++)
{
this.deseasonal[i] = this.y[i] - this.seasonal[i];
}
//Menghitung nilai tren
this.ComponentTrend();
//Melakukan penghitungan nilai detrend, deseasonal, cyclical and irregular, predicted, and residual
for (int i = 0; i < this.n; ++i)
{
this.detrend[i] = this.y[i] - this.trend[i];
this.predicted[i] = this.trend[i] + this.seasonal[i];
this.residual[i] = this.y[i] - this.predicted[i];
}
}
/// <summary>
/// Prosedur untuk menghitung dekomposisi dengan metode multiplikatif
/// </summary>
private void Multiplicative()
{
//menghitung nilai seasonal index dengan rasio pada rata-rata bergerak
ssnl = new SeasonalIndex(this.y, this.seasonalLength, true);
//mendefinisikan nilai seasonal setiap data
int index = 0;
for (int i = 0; i < this.n; i++)
{
this.seasonal[i] = ssnl.SEASONAL[index];
index++;
if (index == this.seasonalLength)
{
index = 0;
}
}
//Melakukan penghitungan nilai deseasonal
for (int i = 0; i < this.n; i++)
{
try
{
this.deseasonal[i] = this.y[i] / this.seasonal[i];
}
catch
{
this.deseasonal[i] = 0;
}
}
this.ComponentTrend();
//Melakukan penghitungan nilai detrend, predicted, and residual
for (int i = 0; i < this.n; ++i)
{
try { this.detrend[i] = this.y[i] / this.trend[i]; }
catch { this.detrend[i] = 0; }
this.predicted[i] = this.trend[i] * this.seasonal[i];
this.residual[i] = this.y[i] - this.predicted[i];
}
}
/// <summary>
/// Prosedur untuk menghitung dekomposisi dengan metode multiplikatif
/// </summary>
private void Multiplicative()
{
//menghitung nilai seasonal index dengan rasio pada rata-rata bergerak
ssnl = new SeasonalIndex(this.y, this.seasonalLength, true);
//mendefinisikan nilai seasonal setiap data
int index = 0;
for (int i = 0; i < this.n; i++)
{
this.seasonal[i] = ssnl.SEASONAL[index];
index++;
if (index == this.seasonalLength)
index = 0;
}
//Melakukan penghitungan nilai deseasonal
for (int i = 0; i < this.n; i++)
{
try
{
this.deseasonal[i] = this.y[i] / this.seasonal[i];
}
catch
{
this.deseasonal[i] = 0;
}
}
this.ComponentTrend();
//Melakukan penghitungan nilai detrend, predicted, and residual
for (int i = 0; i < this.n; ++i)
{
try { this.detrend[i] = this.y[i] / this.trend[i]; }
catch { this.detrend[i] = 0; }
this.predicted[i] = this.trend[i] * this.seasonal[i];
this.residual[i] = this.y[i] - this.predicted[i];
}
}
/// <summary>
/// Prosedur untuk menghitung dekomposisi dengan metode aditif
/// </summary>
private void Additive()
{
//menghitung seasonal index
ssnl = new SeasonalIndex(this.y, this.seasonalLength, false);
//mendefinisikan data seasonal
int index = 0;
for (int i = 0; i < this.n; i++)
{
this.seasonal[i] = ssnl.SEASONAL[index];
index++;
if (index == this.seasonalLength)
index = 0;
}
//Melakukan penghitungan nilai deseasonal
for (int i = 0; i < this.n; i++)
{
this.deseasonal[i] = this.y[i] - this.seasonal[i];
}
//Menghitung nilai tren
this.ComponentTrend();
//Melakukan penghitungan nilai detrend, deseasonal, cyclical and irregular, predicted, and residual
for (int i = 0; i < this.n; ++i)
{
this.detrend[i] = this.y[i] - this.trend[i];
this.predicted[i] = this.trend[i] + this.seasonal[i];
this.residual[i] = this.y[i] - this.predicted[i];
}
}
