Commons Math example source code file (NumAcc4.txt)

This example Commons Math source code file (NumAcc4.txt) is included in the DevDaily.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" ^TM.
Java - Commons Math tags/keywords

certified, data, data, file, file, name, observations, observations, response, sample, sample, simon, stat, values
The Commons Math NumAcc4.txt source code

File Name:     NumAcc4.dat

File Format:   ASCII
               Header          : lines  1 to   60     (=   60)
               Certified Values: lines 41 to   43     (=    3)
               Data            : lines 61 to 1061     (= 1001)

Dataset Name:  NumAcc4

Description:   This is a constructed/fabricated data set
               to test accuracy in summary statistic calculations.
               The numbers are 9-digit floating point values and
               differ only in the last decimal place.
                     sample mean            =  10000000.2   (exact)
                     sample standard dev.   =         0.1   (exact)
                     sample autocorr. coef. =      -0.999   (exact)

Stat Category: Univariate

Reference:     Simon, Stephen D. and Lesage, James P. (1989).
               Assessing the Accuracy of ANOVA Caluclations
               in Statistical Software", Computational
               Statistics & data Analysis, 8, pp. 325-332.

Data:          Constructed
               1    Response           : y
               0    Predictors
               1001 Observations

Model:         Higher Level of Difficulty
               2    Parameters         : mu, sigma
               1    Response Variable  : y
               0    Predictor Variables

               y    = mu + e




                                                  Certified Values
Sample Mean                                ybar:   10000000.2 
Sample Standard Deviation (denom. = n-1)      s:   0.1        
Sample Autocorrelation Coefficient (lag 1) r(1):   -0.999     

Number of Observations:                             1001













Data: Y
--------------
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