Program g13bbfe
! G13BBF Example Program Text
! Mark 26.1 Release. NAG Copyright 2016.
! .. Use Statements ..
Use nag_library, Only: g13ajf, g13bbf, nag_wp
! .. Implicit None Statement ..
Implicit None
! .. Parameters ..
Integer, Parameter :: nin = 5, nout = 6
! .. Local Scalars ..
Real (Kind=nag_wp) :: cx, cy, rms
Integer :: i, idd, ifail, ifv, ii, ij, ipar, &
iqxd, ist, iw, iwa, nb, nmr, npar, &
nparx, nst, nx, ny, pp, qp, sy
! .. Local Arrays ..
Real (Kind=nag_wp), Allocatable :: b(:), fsd(:), fva(:), par(:), &
parx(:), st(:), w(:), wa(:), x(:), &
y(:)
Integer :: isf(4), mrx(7)
Integer, Allocatable :: mr(:)
! .. Intrinsic Procedures ..
Intrinsic :: max, min, mod
! .. Executable Statements ..
Write (nout,*) 'G13BBF Example Program Results'
Write (nout,*)
! Skip heading in data file
Read (nin,*)
! Read in problem size
Read (nin,*) nx
! Read univariate ARIMA for series
Read (nin,*) mrx(1:7)
Read (nin,*) cx
! Calculate number of backforecasts required
iqxd = mrx(3) + mrx(6)*mrx(7)
If (iqxd/=0) Then
nmr = 10
Else
nmr = 3
End If
! Back forecasts will be stored in first IQXD elements
! of Y, the series will be stored in last NX elements of
! Y, so calculate start point for the series
sy = iqxd + 1
! Calculate length of series with back forecasts
ny = nx + iqxd
Allocate (y(ny),mr(nmr))
! Read in series
Read (nin,*) y(sy:ny)
! Get back forecasts if required
If (iqxd/=0) Then
! Calculate number of parameters in ARIMA model
nparx = mrx(1) + mrx(3) + mrx(4) + mrx(6)
ist = mrx(4) + mrx(7) + mrx(2) + mrx(5) + mrx(3) + &
max(mrx(1),mrx(6)*mrx(7))
ifv = max(1,iqxd)
qp = mrx(6)*mrx(7) + mrx(3)
pp = mrx(4)*mrx(7) + mrx(1)
iw = 6*nx + 5*nparx + qp*(qp+11) + 3*pp + 7
Allocate (parx(nparx),x(nx),st(ist),fva(ifv),fsd(ifv),w(iw))
! Read in initial values
Read (nin,*) parx(1:nparx)
! Reverse series
x(nx:1:-1) = y(sy:ny)
! Possible sign reversal for ARIMA constant
idd = mrx(2) + mrx(5)
If (mod(idd,2)/=0) Then
cx = -cx
End If
! Calculate back forecasts
ifail = 0
Call g13ajf(mrx,parx,nparx,cx,0,x,nx,rms,st,ist,nst,iqxd,fva,fsd,ifv, &
isf,w,iw,ifail)
! Move back forecasts into Y, in reverse order
y(1:iqxd) = fva(iqxd:1:-1)
! Reverse sign for ARIMA constant back again
If (mod(idd,2)/=0) Then
cx = -cx
End If
End If
! Read model by which to filter series
Read (nin,*) mr(1:3)
! Calculate NPAR
ipar = mr(2) + mr(3) + 1
npar = ipar + nparx
Allocate (par(npar))
! Read in initial parameter values
Read (nin,*) par(1:ipar)
If (iqxd/=0) Then
! Move ARIMA for series into MR
mr(4:10) = mrx(1:7)
! Move parameters of ARIMA for Y into PAR
par((ipar+1):(ipar+nparx)) = parx(1:nparx)
End If
! Move constant
cy = cx
! Set parameters for call to filter routine G13BBF
If (nmr==10) Then
iwa = mr(3) + mr(4) + mr(5) + (mr(7)+mr(8))*mr(10)
iwa = npar + iwa*(iwa+2)
nb = ny + max(mr(1)+mr(2),mr(3))
Else
iwa = mr(1) + npar
nb = ny
End If
Allocate (wa(iwa),b(nb))
! Filter series by call to G13BBF
ifail = 0
Call g13bbf(y,ny,mr,nmr,par,npar,cy,wa,iwa,b,nb,ifail)
! Display results
If (iqxd/=0) Then
Write (nout,*) ' Original Filtered'
Write (nout,*) ' Backforecasts y-series series'
ij = -iqxd
Do i = 1, iqxd
Write (nout,99999) ij, y(i), b(i)
ij = ij + 1
End Do
Write (nout,*)
End If
Write (nout,*) &
' Filtered Filtered Filtered Filtered'
Write (nout,*) &
' series series series series'
Do i = iqxd + 1, ny, 4
Write (nout,99998)(ii-iqxd,b(ii),ii=i,min(ny,i+3))
End Do
99999 Format (1X,I8,F17.1,F16.1)
99998 Format (1X,I5,F10.1,I6,F10.1,I6,F10.1,I6,F10.1)
End Program g13bbfe