mrcImageVarianceAnalysis
Usage
Usage: mrcImageVarianceAnalysis
Options:
[-i[nput] In (NULL ).as(inFileList ) ] :Optional :In: InputList
[-o[utput] Out (NULL ).as(outFile ) ] :Optional :Output: Variance Probability
[-v[arianceAnalysis] OutV (NULL ).as(outFile ) ] :Optional :Output: Variance Analysis
[-c[onfig] configFile (NULL ).as(inFile ) ] :Optional :ConfigurationFile
[-m[ode] mode (0 ).as(Integer ) ] :Optional :Mode
----- Additional Usage -----
-i inFileList
>>>>> Within inFileList
In1
In2
...
>>>>> Within In1 etc. A + B*density
filename1-1 A B
.....
---- Variance Analysis-----
-- Algorithm
VarianceRatio := VarinceBetweenClasses/(SumOfVarianceWithinEachClass)
VarinceBetweenClasses: variance between classes
VarinceWithClasses: variance within each class
---- General Information -----
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)