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To download: Right-click on the file, then select 'Save Target
As...' |
Professor K.
Krishnamoorthy |
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Description: StatCalc is a PC calculator
that computes table values of many commonly used statistical distributions.
It also computes moments, and many other statistics; see the table of
content. Download and click on setup.exe. StatCalc
also comes with help files. Operating Systems: Windows 7, XP, 2000; Windows 8. Disk space : 10 MB. Right click the link on the left, and
select “save target as.” Click on setup.exe. Admin privileges is
not required to install the software. In case you encounter any installation problems, download
StatCalc.zip, and extract the files in the same directory. |
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Fortran Programs... Comments to krishna@louisiana.edu |
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Fortran program to evaluate the cdf of the noncentral
t [Benton, D. and Krishnamoorthy, K. (2003). Computing discrete mixtures
of continuous distributions: noncentral chisquare, noncentral t and the
distribution of the square of the sample multiple correlation coefficient. Computational
Statistics and Data Analysis, 43, 249-267] |
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Fortran program to evaluate the cdf of the noncentral
chi-square [ Benton, D. and Krishnamoorthy, K. (2003)] |
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Fortran program: computes the p-value
for testing the difference between proportions from two finite populations.
[Krishnamoorthy, K. and Thomson, J. (2002). Hypothesis testing about
proportions in two finite populations. The American Statistician, 56,
(2002), 215-222.] |
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Fortran program: computes the power
of the test (3) for the difference between proportions from two finite
populations. [Krishnamoorthy, K. and Thomson, J. (2002)] |
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Fortran program: computes the p-value
for testing the difference between two Poisson means. [Source:
Krishnamoorthy, K and Thomson, J. (2004) A more powerful test for comparing two
Poisson means. Journal of Statistical Planning and Inference, 119,
249-267] |
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Fortran program: computes the power of
the unconditional test for the difference between two Poisson means. [Krishnamoorthy,
K and Thomson, J. (2004) A more powerful test for comparing two Poisson
means. Journal of Statistical Planning and Inference, 119, 249-267] |
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Fortran program: computes confidence
limits for the mean of a lognormal distribution. [Krishnamoorthy, K. and
Mathew, T. (2003) Inferences on the means of lognormal distributions using
generalized p-values and generalized confidence intervals. Journal of
Statistical Planning and Inference, (2003), 115, 103 – 121] Help7.pdf |
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Computes
the power of the test in (7). For a given mean and standard deviation of the
logged data, and the sample size, this program computes the power of the test
in (7). Help8.pdf |
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Computes
the p-value for testing the difference between two lognormal means. Also,
computes the confidence interval for the difference between the means. Help9.pdf |
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Computes
the power of the test (9) for testing the difference between two lognormal
means. Help10.pdf |
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11. One-sided limits for exceedance probabilities |
Computes
the one-sided limits for the exceedance probabilities assuming random effects
model. See Krishnamoorthy, K. Mathew,
T. and Ramachandran, G. (2007). Upper
limits for the exceedance probabilities in one-way random effects model. Annals of Occupational Hygiene,
51, 397-406. |
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12. R program
EXPOSURE_MDLS.r; help file |
Krishnamoorthy,
K. and Zhao Zu (2011). Confidence Limits for
Lognormal Percentiles and for Lognormal Mean based on Samples with Multiple
Detection Limits. Annals of
Occupational Hygiene, 55, 495-509. Krishnamoorthy, K., Mathew, T. and Xu, Z. (2014). Standardized
likelihood inference for the mean and percentiles of a lognormal distribution based on samples
with multiple detection limits. Journal
of Environmental Statistics, 6, 1–18. |
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13. GammaInfer.r |
This
R program computes confidence intervals for gamma parameters and mean, CIs
for the difference between two means, difference between two shape
parameters. Also, calculates the p-values for testing the mean and
parameters, comparing two means, two scale parameters and for comparing two
shape parameters. Krishnamoorthy,
K. and Luis, N. (2014). Small sample
inference for gamma distributions: one- and two-sample problems. Environmetrics, 25, 107-126. |
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 You are |