AnalyzeTS (version 2.0)

Abbasov.Cs3: Comparing and sort Improve Abbasov-Mamedova version 1 models

Description

Comparing and sort Improve Abbasov-Mamedova version 1 models according ME, MAE, MPE, MAPE, MSE RMSE for C values in Cs.

Usage

Abbasov.Cs3(ts, n = 7, w = 7, D1 = 0, D2 = 0, Cs = NULL, fty = c("ts", "f"))

Arguments

ts

Observation series.

n

Number of fuzzy set.

w

'w' parameter.

D1

A adequate value.

D2

A adequate value.

Cs

A vector contain C values.

fty

A character string specifying the focasting of Improve Abbasov Mamedova version 1 model, must be one of "ts" (default), or "f". You can specify just the initial letter.

Value

Table comparing and sort Improve Abbasov-Mamedova version 1 models.

Details

fty="f", N(length(ts)) = N(length(ts)-1) + V(length(ts)+1).

fty="ts", N(length(ts)) = ts(length(ts)) + V(length(ts)+1).

See Also

FindC2,FindC3,Abbasov.Cs2

Examples

Abbasov.Cs3(lh,n=5,w=7,Cs=seq(0,1,0.01),fty="ts")
Abbasov.Cs3(lh,n=5,w=7,Cs=seq(0,1,0.01),fty="f")