Greg.ts: Group regression models for Time-Series

In AnalyzeTS: Analyze Fuzzy Time Series

Description

Building some regression models for time series.

Usage

Greg.ts(ts, p.max = 3, r = 4, plot = FALSE)

Arguments

ts	Univariate time series.
p.max	Greatest level of polynomial models.
r	Display results returned to the specified number of decimal places (default 3). (See round2str for details of r paramicter.)
plot	Let plot=TRUE to paint graph of obsevation series and interpolate series. Let plot=FLASE (default) to do not paint graph.

Details

luy thua: Y = a*t^b

luong giac: Y = a + b*sin(t) + c*cos(t)

hyperbol: Y = a + b/t

CS cong: ...

CS nhan

Value

Results are returned as a list containing the following components.

Models	Formula of regression models.
Interpolate, Error	Two data frame where each column is a time series interpolate and error from regression model corresponding.

Author(s)

Hong Viet Minh <[e-mail]>

Pham Minh Truc <[e-mail]>

References

Vo Van Tai, 2012. Du bao san luong lua Viet Nam bang cac mo hinh toan hoc, Tap chi Khoa hoc Dai hoc Can Tho. 23b125-134.

See Also

The forecast.Greg.ts function using to predict for models fitted by Greg.ts function.

Examples

data(enrollment)
Greg.ts(enrollment)

AnalyzeTS documentation built on Dec. 9, 2019, 1:07 a.m.