mrcImageVarianceMap
Usage
Usage: mrcImageVarianceMap
Options:
[-i[nput] In (NULL ).as(inFileList ) ] :Optional :In: InputList
[-I[nput] In2 (NULL ).as(inFile )
In2Var (NULL ).as(inFile )
In2N (0 ).as(Integer ) ] :Optional :In: Input
[-Nor[malizingParameter]NorA (0.0 ).as(Real )
NorB (1.0 ).as(Real ) ] :Optional :In: A + B*x: NormalizingParameter
[-r[ef] Ref (NULL ).as(inFileList ) ] :Optional :Ref: InputList
[-R[ef] Ref2 (NULL ).as(inFile )
Ref2Var (NULL ).as(inFile )
Ref2N (0 ).as(Integer ) ] :Optional :Ref: Input
[-Nor[malizingParameter]RNorARef (0.0 ).as(Real )
NorBRef (1.0 ).as(Real ) ] :Optional :In: A + B*x: NormalizingParameter for Ref
[-I[and]R InAndRef2 (NULL ).as(inFile )
InAndRef2Var (NULL ).as(inFile )
InAndRef2N (0 ).as(Integer ) ] :Optional :In and Ref: Input
[-o[utput] Out (NULL ).as(outFile ) ] :Optional :Output: Variance Probability
[-v[arianceMap] OutV (NULL ).as(outFile ) ] :Optional :Output: Variance Map
[-c[onfig] configFile (NULL ).as(inFile ) ] :Optional :ConfigurationFile
[-m[ode] mode (0 ).as(Integer ) ] :Optional :Mode
----- Additional Usage -----
---- Variance Map -----
-- Algorithm
VarianceMap := VarinceOfAll/((VarianceOfDataSet1*n1+VarianceOfDataSet2*n2)/n1+n2)
VarinceOfAll: variance of all data from Set1 and Set2
VarinceOfDataSet1: variance of all data from Set1
VarinceOfDataSet2: variance of all data from Set2
Kai-distribution: Kai^2 = SumOf (Xi - AvgOfXi)^2/sigma^2
= s^2*(n-1)/sigma^2 : degree of freedom n-1
when variables Xi are due to N(u, sigma^2)
Kai-distribution: Kai^2 = Kai1^2 + Kai2^2 : degree of freedom m1 + m2
F-distribution: F = (Kai1^2/k1)/(Kai2^2/k2) : degree of freedom : (k1, k2)
(s1^2/sigma1^2)/(s2^2/sigma2^2) : degree of freedom : (k1-1, k2-1)
If sigma1 == sigma2, then
s1^2/s2^2 (Variance Ratio) : degree of freedom : (k1-1, k2-1)