FPL Statistics Unit

Programs that may be run over the Web

• Computer programs useful in developing allowable properties for a single species under ASTM D1990 (Developed by James Evans and Vicki Herian)
  • sratio
  • tempadj
  • mcadj
  • nonpar
  • datacheck
  • allfromr
  • edesign

• MCADJ - Lumber strength properties vary with changes in moisture content. Moisture content adjustment program allows you to predict a property of dimension lumber at a target moisture content given that you know the value of the property at an initial moisture content. (Developed by James Evans and Vicki Herian)

• NONPAR - Nonparametric estimation program calculates nonparametric estimates of percentiles, associated confidence intervals, and tolerance limits of the percentiles from a data set. It can also give order statistics needed for any samples size to create the same estimates. (Developed by James Evans, Vicki Herian, and Angela Mitchell)

• A program to calculate Weibull, Normal, and Lognormal estimates of percentiles from a data set. This program also calculates confidence intervals and tolerance limits for the percentiles. (Developed by James Evans and Vicki Herian)

• A program to calculate the K needed for parametric one-sided tolerance bounds for normal distributions. (Developed by Steve Verrill)

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• Fire retardant strength degradation program - Calculates kinetic parameter estimates and plots predictions of in-service fire retardant treated wood. (Developed by Patti Lebow)

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• The drying schedule program (Developed by Steve Verrill and Bill Simpson)

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• The board feet to cubic feet ratio estimation program program (Developed by Steve Verrill, Vicki Herian, and Henry Spelter)

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• The predictor sort program (Developed by Steve Verrill and Vicki Herian)
• Power and sample size calculations for balanced ANOVAs (Developed by Steve Verrill)
• Power calculations, hypothesis testing, and estimation for general linear models (Developed by Steve Verrill)

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• Obtain an exact two-sided confidence interval for the coefficient of variation of a normal distribution (Developed by Steve Verrill)
• Obtain an exact one-sided lower confidence bound on a coefficient of variation of a normal distribution (Developed by Steve Verrill)
• Obtain an exact one-sided upper confidence bound on the coefficient of variation of a normal distribution (Developed by Steve Verrill)
• Obtain an exact confidence interval for the coefficient of variation of a lognormal distribution (Developed by Steve Verrill)
• Obtain confidence bounds on the ratio of the coefficients of variation of two normally distributed populations (Developed by Steve Verrill and Rich Johnson)
• Perform a likelihood ratio test of the hypothesis that k normally distributed populations share the same coefficient of variation (Developed by Steve Verrill and Rich Johnson)
• Obtain confidence bounds on a coefficient of variation shared by k normally distributed populations (Developed by Steve Verrill and Rich Johnson)

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• Many "glitchy" regressions applets (Developed by Steve Verrill)
  • simple regression
  • example using the QR decomposition
  • example using nonlinear least squares
• A microfibril angle estimation applet (Developed by Steve Verrill, Dave Kretschmann, and Vicki Herian)
• Java regression, linear algebra, optimization, quadrature, cumulative distribution function, and random number generation software (Developed by Steve Verrill)

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• 10/1997 simulation of a proposed ASTM acceptance testing protocol for duration of load samples (Developed by Steve Verrill)
• 3/1999 simulation of ASTM acceptance testing of plastic lumber (Developed by Steve Verrill)
• 9/2000 simulation of a revised ASTM acceptance testing protocol for duration of load samples (Developed by Steve Verrill)