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Bennett5.dat:Model: Miscellaneous Class
Bennett5.dat- 3 Parameters (b1 to b3)
Bennett5.dat-
Bennett5.dat- y = b1 * (b2+x)**(-1/b3) + e
Bennett5.dat-
Bennett5.dat-
Bennett5.dat-
--
BoxBOD.dat:Model: Exponential Class
BoxBOD.dat- 2 Parameters (b1 and b2)
BoxBOD.dat-
BoxBOD.dat- y = b1*(1-exp[-b2*x]) + e
BoxBOD.dat-
BoxBOD.dat-
BoxBOD.dat-
--
Chwirut1.dat:Model: Exponential Class
Chwirut1.dat- 3 Parameters (b1 to b3)
Chwirut1.dat-
Chwirut1.dat- y = exp[-b1*x]/(b2+b3*x) + e
Chwirut1.dat-
Chwirut1.dat-
Chwirut1.dat-
--
Chwirut2.dat:Model: Exponential Class
Chwirut2.dat- 3 Parameters (b1 to b3)
Chwirut2.dat-
Chwirut2.dat- y = exp(-b1*x)/(b2+b3*x) + e
Chwirut2.dat-
Chwirut2.dat-
Chwirut2.dat-
--
DanWood.dat:Model: Miscellaneous Class
DanWood.dat- 2 Parameters (b1 and b2)
DanWood.dat-
DanWood.dat- y = b1*x**b2 + e
DanWood.dat-
DanWood.dat-
DanWood.dat-
--
ENSO.dat:Model: Miscellaneous Class
ENSO.dat- 9 Parameters (b1 to b9)
ENSO.dat-
ENSO.dat- y = b1 + b2*cos( 2*pi*x/12 ) + b3*sin( 2*pi*x/12 )
ENSO.dat- + b5*cos( 2*pi*x/b4 ) + b6*sin( 2*pi*x/b4 )
ENSO.dat- + b8*cos( 2*pi*x/b7 ) + b9*sin( 2*pi*x/b7 ) + e
ENSO.dat-
--
Eckerle4.dat:Model: Exponential Class
Eckerle4.dat- 3 Parameters (b1 to b3)
Eckerle4.dat-
Eckerle4.dat- y = (b1/b2) * exp[-0.5*((x-b3)/b2)**2] + e
Eckerle4.dat-
Eckerle4.dat-
Eckerle4.dat-
--
Gauss1.dat:Model: Exponential Class
Gauss1.dat- 8 Parameters (b1 to b8)
Gauss1.dat-
Gauss1.dat- y = b1*exp( -b2*x ) + b3*exp( -(x-b4)**2 / b5**2 )
Gauss1.dat- + b6*exp( -(x-b7)**2 / b8**2 ) + e
Gauss1.dat-
Gauss1.dat-
--
Gauss2.dat:Model: Exponential Class
Gauss2.dat- 8 Parameters (b1 to b8)
Gauss2.dat-
Gauss2.dat- y = b1*exp( -b2*x ) + b3*exp( -(x-b4)**2 / b5**2 )
Gauss2.dat- + b6*exp( -(x-b7)**2 / b8**2 ) + e
Gauss2.dat-
Gauss2.dat-
--
Gauss3.dat:Model: Exponential Class
Gauss3.dat- 8 Parameters (b1 to b8)
Gauss3.dat-
Gauss3.dat- y = b1*exp( -b2*x ) + b3*exp( -(x-b4)**2 / b5**2 )
Gauss3.dat- + b6*exp( -(x-b7)**2 / b8**2 ) + e
Gauss3.dat-
Gauss3.dat-
--
Hahn1.dat:Model: Rational Class (cubic/cubic)
Hahn1.dat- 7 Parameters (b1 to b7)
Hahn1.dat-
Hahn1.dat- y = (b1+b2*x+b3*x**2+b4*x**3) /
Hahn1.dat- (1+b5*x+b6*x**2+b7*x**3) + e
Hahn1.dat-
Hahn1.dat-
--
Kirby2.dat:Model: Rational Class (quadratic/quadratic)
Kirby2.dat- 5 Parameters (b1 to b5)
Kirby2.dat-
Kirby2.dat- y = (b1 + b2*x + b3*x**2) /
Kirby2.dat- (1 + b4*x + b5*x**2) + e
Kirby2.dat-
Kirby2.dat-
--
Lanczos1.dat:Model: Exponential Class
Lanczos1.dat- 6 Parameters (b1 to b6)
Lanczos1.dat-
Lanczos1.dat- y = b1*exp(-b2*x) + b3*exp(-b4*x) + b5*exp(-b6*x) + e
Lanczos1.dat-
Lanczos1.dat-
Lanczos1.dat-
--
Lanczos2.dat:Model: Exponential Class
Lanczos2.dat- 6 Parameters (b1 to b6)
Lanczos2.dat-
Lanczos2.dat- y = b1*exp(-b2*x) + b3*exp(-b4*x) + b5*exp(-b6*x) + e
Lanczos2.dat-
Lanczos2.dat-
Lanczos2.dat-
--
Lanczos3.dat:Model: Exponential Class
Lanczos3.dat- 6 Parameters (b1 to b6)
Lanczos3.dat-
Lanczos3.dat- y = b1*exp(-b2*x) + b3*exp(-b4*x) + b5*exp(-b6*x) + e
Lanczos3.dat-
Lanczos3.dat-
Lanczos3.dat-
--
MGH09.dat:Model: Rational Class (linear/quadratic)
MGH09.dat- 4 Parameters (b1 to b4)
MGH09.dat-
MGH09.dat- y = b1*(x**2+x*b2) / (x**2+x*b3+b4) + e
MGH09.dat-
MGH09.dat-
MGH09.dat-
--
MGH10.dat:Model: Exponential Class
MGH10.dat- 3 Parameters (b1 to b3)
MGH10.dat-
MGH10.dat- y = b1 * exp[b2/(x+b3)] + e
MGH10.dat-
MGH10.dat-
MGH10.dat-
--
MGH17.dat:Model: Exponential Class
MGH17.dat- 5 Parameters (b1 to b5)
MGH17.dat-
MGH17.dat- y = b1 + b2*exp[-x*b4] + b3*exp[-x*b5] + e
MGH17.dat-
MGH17.dat-
MGH17.dat-
--
Misra1a.dat:Model: Exponential Class
Misra1a.dat- 2 Parameters (b1 and b2)
Misra1a.dat-
Misra1a.dat- y = b1*(1-exp[-b2*x]) + e
Misra1a.dat-
Misra1a.dat-
Misra1a.dat-
--
Misra1b.dat:Model: Miscellaneous Class
Misra1b.dat- 2 Parameters (b1 and b2)
Misra1b.dat-
Misra1b.dat- y = b1 * (1-(1+b2*x/2)**(-2)) + e
Misra1b.dat-
Misra1b.dat-
Misra1b.dat-
--
Misra1c.dat:Model: Miscellaneous Class
Misra1c.dat- 2 Parameters (b1 and b2)
Misra1c.dat-
Misra1c.dat- y = b1 * (1-(1+2*b2*x)**(-.5)) + e
Misra1c.dat-
Misra1c.dat-
Misra1c.dat-
--
Misra1d.dat:Model: Miscellaneous Class
Misra1d.dat- 2 Parameters (b1 and b2)
Misra1d.dat-
Misra1d.dat- y = b1*b2*x*((1+b2*x)**(-1)) + e
Misra1d.dat-
Misra1d.dat-
Misra1d.dat-
--
Nelson.dat:Model: Exponential Class
Nelson.dat- 3 Parameters (b1 to b3)
Nelson.dat-
Nelson.dat- log[y] = b1 - b2*x1 * exp[-b3*x2] + e
Nelson.dat-
Nelson.dat-
Nelson.dat-
--
Rat42.dat:Model: Exponential Class
Rat42.dat- 3 Parameters (b1 to b3)
Rat42.dat-
Rat42.dat- y = b1 / (1+exp[b2-b3*x]) + e
Rat42.dat-
Rat42.dat-
Rat42.dat-
--
Rat43.dat:Model: Exponential Class
Rat43.dat- 4 Parameters (b1 to b4)
Rat43.dat-
Rat43.dat- y = b1 / ((1+exp[b2-b3*x])**(1/b4)) + e
Rat43.dat-
Rat43.dat-
Rat43.dat-
--
Roszman1.dat:Model: Miscellaneous Class
Roszman1.dat- 4 Parameters (b1 to b4)
Roszman1.dat-
Roszman1.dat- pi = 3.141592653589793238462643383279E0
Roszman1.dat- y = b1 - b2*x - arctan[b3/(x-b4)]/pi + e
Roszman1.dat-
Roszman1.dat-
--
Thurber.dat:Model: Rational Class (cubic/cubic)
Thurber.dat- 7 Parameters (b1 to b7)
Thurber.dat-
Thurber.dat- y = (b1 + b2*x + b3*x**2 + b4*x**3) /
Thurber.dat- (1 + b5*x + b6*x**2 + b7*x**3) + e
Thurber.dat-
Thurber.dat-
|
