3 <TITLE>mrcImageVarianceMap</TITLE>
6 <H1>mrcImageVarianceMap</H1>
9 Usage: mrcImageVarianceMap
11 [-i[nput] In (NULL ).as(inFileList ) ] :Optional :In: InputList
12 [-I[nput] In2 (NULL ).as(inFile )
13 In2Var (NULL ).as(inFile )
14 In2N (0 ).as(Integer ) ] :Optional :In: Input
15 [-Nor[malizingParameter]NorA (0.0 ).as(Real )
16 NorB (1.0 ).as(Real ) ] :Optional :In: A + B*x: NormalizingParameter
17 [-r[ef] Ref (NULL ).as(inFileList ) ] :Optional :Ref: InputList
18 [-R[ef] Ref2 (NULL ).as(inFile )
19 Ref2Var (NULL ).as(inFile )
20 Ref2N (0 ).as(Integer ) ] :Optional :Ref: Input
21 [-Nor[malizingParameter]RNorARef (0.0 ).as(Real )
22 NorBRef (1.0 ).as(Real ) ] :Optional :In: A + B*x: NormalizingParameter for Ref
23 [-I[and]R InAndRef2 (NULL ).as(inFile )
24 InAndRef2Var (NULL ).as(inFile )
25 InAndRef2N (0 ).as(Integer ) ] :Optional :In and Ref: Input
26 [-o[utput] Out (NULL ).as(outFile ) ] :Optional :Output: Variance Probability
27 [-v[arianceMap] OutV (NULL ).as(outFile ) ] :Optional :Output: Variance Map
28 [-c[onfig] configFile (NULL ).as(inFile ) ] :Optional :ConfigurationFile
29 [-m[ode] mode (0 ).as(Integer ) ] :Optional :Mode
30 ----- Additional Usage -----
31 ---- Variance Map -----
33 VarianceMap := VarinceOfAll/((VarianceOfDataSet1*n1+VarianceOfDataSet2*n2)/n1+n2)
34 VarinceOfAll: variance of all data from Set1 and Set2
35 VarinceOfDataSet1: variance of all data from Set1
36 VarinceOfDataSet2: variance of all data from Set2
39 Kai-distribution: Kai^2 = SumOf (Xi - AvgOfXi)^2/sigma^2
40 = s^2*(n-1)/sigma^2 : degree of freedom n-1
41 when variables Xi are due to N(u, sigma^2)
42 Kai-distribution: Kai^2 = Kai1^2 + Kai2^2 : degree of freedom m1 + m2
43 F-distribution: F = (Kai1^2/k1)/(Kai2^2/k2) : degree of freedom : (k1, k2)
44 (s1^2/sigma1^2)/(s2^2/sigma2^2) : degree of freedom : (k1-1, k2-1)
45 If sigma1 == sigma2, then
46 s1^2/s2^2 (Variance Ratio) : degree of freedom : (k1-1, k2-1)