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| Legend: [c_patient - classifier] [c_day - classifier] [data fields - fields with data]Data: [Sorana BOLBOACA, Mihai LUCAN, Carolina BOTAR-JID, Cristina REIT, Carmen LAPUSAN, Sorin DUDEA, Daily Monitoring Patients with Renal Transplant: A Way to Better Understand the Relationship between Doppler Indices and Renal Function, European Congress of Radiology, March 4-9, 2004, Vienna, Austria, work published in European Radiology, supplement 2, Volume 14:C441, p. 433.]Program: [Lorentz JÄNTSCHI, Sorana-Daniela BOLBOACA, The Jungle of Linear Regression Revisited, Leonardo Electonic Journal of Practices and Technologies, 6(10), 2007, p. 169-187.]Models:
{4.v: aX+bY=0 => Y = mX, v=0..3}
[.0: m = M(Y)/M(X)]
[.1: m = M(XY)/M(X2)]
[.2: m = M(Y2)/M(XY)]
[.3: m = (M(Y2)/M(X2))1/2]
{8.v: aX+bY+c=0 => Y = mX + n, v=0..3}
[.0*:
a = M(Y2)M(X)-M(Y)M(XY),
b = M(X2)M(Y)-M(X)M(XY),
c = M(X2)M(Y2)-M2(XY)
]
[.1:
b = - (M(XY)-M(X)M(Y))/(M(Y2)-M2(Y)),
c = - (M(Y2)M(X)-M(Y)M(XY))/(M(Y2)-M2(Y))
]
[.2:
a = - (M(XY)-M(X)M(Y))/(M(X2)-M2(X)),
c = - (M(X2)M(Y)-M(X)M(XY))/(M(X2)-M2(X))
]
[.3:
a = D(Y)/D(X), c = M(Y) - M(X)*D(Y)/D(X), D2(A)=M(A2)-M2(A)
]
*- works only in statistical assumption that hypothesis n=0 is rejected. |
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