ScoreHu

Public Methods

• ScoreHu() - Default Constructor.
• ScoreHu(ScoreHu) - Copy Constructor.
• ScoreHu(string) - Loads the score from a file.
• ScoreHu(int,double,double,double[]) - Constructor to pass parameters of loglkd.
• ScoreHu(int,double[],double[][] ) - Constructor to pass parameters of loglkdbeta.
• Copy() - Copy a ScoreHu.
• GenerateScores(DataSet,DataGrouping) - Generates the Hu scores.
• GenerateScores(DataSet,DataGrouping,int) - Generates the Hu scores.
• getmusigma2mle(double[][],int,ArrayList,ArrayList) - Calculates Hu score using estimation MLE of mu and sigma2.
• f_to_minimize(double[]) - Calls log-likelihood to estimate logmu and beta.
• gradient(double[],double)
• hessian(double[],double[][])
• loglkd(double,double,double,double) - log-likelihood function to estimate logmu.
• loglkdbeta(double[],double,double) - log-likelihood funtion to estimate beta.

Private Methods

• Quantile(ArrayList,double) - Calculates 1% quantile.

Private Data Members

• func(int) - Function of loglkd or logkdbeta.
• beta0(double[])
• beta1(double[])
• X(double[])
• X2(double[][])
• logmu(double[])

Remarks

• The program dosen't handle data set with missing values.