Thursday, June 12, 2014

Examples - Efficient generic integration algorithm to determine confidence intervals and p-values for hypothesis testing

Supplementary material


Example code:


Bartels, Christian (2014): Examples - Efficient generic integration algorithm to determine confidence intervals and p-values for hypothesis testing. figshare


Description:


Efficient generic integration algorithm to determine confidence intervals and p-values for hypothesis testing. Christian Bartels. figshare.
http://dx.doi.org/10.6084/m9.figshare.1054694


Extract of the text:

The algorithm was illustrated on two examples: 10 repeated measures from a normal distribution, and 10 repeated counts using a negative binomial model. The example with the normally distributed data are such that the results can be compared to and evaluated against available standard tests (Student’s t-test and log-likelihood ratio test using chi-squared distribution). The data analyzed with the negative binomial distribution was chosen to illustrate the advantage of the proposed algorithm. A series of ten counts: {10, 1, 0, 0, 0, 0, 0, 0, 0, 0 was analyzed - only a few observations with many of them equal to zero.



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