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 Computers » Programming » Languages » Fortran » Source Code » Statistics and Econometrics


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Code for linear model hypothesis testing and power calculations via the singular value decomposition.

http://www1.fpl.fs.fed.us/glm.html

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Calculates nonparametric estimates of percentiles, associated confidence intervals, and tolerance limits of the percentiles from a data set. Also calculates the order statistics needed for any sample size to create the same estimates. Includes source ...

http://www1.fpl.fs.fed.us/nonpar.html

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Performs a simulation to evaluate the performance of corrected confidence intervals based on blocked and unblocked ANOVAs in a predictor sort sampling ANOVA. Also estimates coverages for confidence intervals based on an analysis of covariance, and for...

http://www1.fpl.fs.fed.us/psconf.html

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Tests for AR(1) Parameter in Regression Models with Autocorrelated Errors. Univariate and multivariate Bayesian ARFIMA. By Nalini Ravishanker and coworkers.

http://merlot.stat.uconn.edu/~nalini/programs.html

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Code by A. Ronald Gallant and George Tauchen for nonparametric time series analysis that employs a Hermite polynomial series expansion to approximate the conditional density of a multivariate process.

http://www.econ.duke.edu/~get/snp.html

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By Chihwa Kao.

http://www.maxwell.syr.edu/maxpages/faculty/cdkao/working/program.zip

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Free program to determine appropriate sample sizes, allocate specimens, and analyze results in the case in which a response predictor is used to sort the specimens prior to treatment. Includes downloads for Solaris and DOS.

http://www1.fpl.fs.fed.us/source.html

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Fits the parameters of physical models to (experimental) data using an Interactive Non-Linear Least Squares procedure. The code, by Mark M. Law and Jeremy M. Hutson, is designed to be highly modular.

http://www.abdn.ac.uk/~che194/research/inolls/index.html

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Fortran 90 and Matlab codes for course by Lynne Seymour.

http://www.stat.uga.edu/~seymour/8060/course.html

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By J. Newton

http://www.stat.tamu.edu/ftp/pub/jnewton/load.f

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