Program Codes
- Alternative Estimation Techniques for Correlated Discrete Data.
- Application of Bayesian Methods for Assessing Detection Accuracy in Remote Sensing
Bayesian Methods for Assessing the Detection Accuracy in Remote Sensing. Command
line routines written in ANSI C and the Perl scripting language.
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Weed Technology Paper Dose-response methodology examples in Weed Technology 2012 26:587–601
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51st Weed Science Society of America National Conference: Dose-response Symposium, February 8-10, 2011, Portland, OR Advances in Dose-Response Methodology Applied to the Science of Weed Control
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R codes for the 2009 Internatonal Society of Chemical Ecology meeting Bootstrap Estimation and Inference on an Index of Phylogenetic Correlation.
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SAS codes for the 2005 Society of Nematologists meeting Non-linear Regression Analyses.
- Bayesian Analysis of
Dose-Response Calibration Curves Estimation of doses in an unknown sample assuming the calibration
curve known or estimated. Codes written in SAS.
- Presented at the 2004 Joint Statistical Meetings, Section on Bayesian Statistics,
Aug. 2004, Toronto, CA.
- Comparing Estimation Procedures for
Dose-response Functions Various estimation techniques: Probit, NLIN, GNLIM, and Bayesian.
Example programs given in SAS for egg hatch in black vine weevil. Codes written in SAS.
- Proceedings of the Fifthteenth Annual Kansas State University Conference on Applied Statistics in Agriculture, In Press
- Nonparametric Estimation of the Mean and
Standard Deviation using Bayesian Analysis and Maximum Entropy. Requires no assumptions on sample sizes
or parent distributions. Example programs given for a dairy cow study. Codes written in the ANSI C language under the GPL license.
- Presented at the 22nd International Workshop on Bayesian Inference and Maximum Entropy
methods in Science and Engineering. Aug. 2002, University of Idaho.
- Presented at the 2002 Joint Statistical Meetings, Section on Bayesian Statistics,
Aug. 2002, NYC, NY.
- Using Landscape Characteristics as Prior
Information for Bayesian Classification of Remotely Sensed Imagery. Quadratic discriminant function
which uses prior information for yellow starthistle from spatial landscape information. Provides a better
classification of yellow starthistle than a uniform prior. Sample images and program given. Large images
will require substantial computing resources. Codes written in the ANSI C language under the GPL license.
- Proceedings of the Fourteenth Annual Kansas State University Conference on Applied Statistics in Agriculture, pp. 126-136
- Additive Main Effects Multiplicative Interaction (AMMI) Model
A diagnostic analysis for exploring genotype-by-environment interactions which often are
found in plant breeding trials. Example programs given for a national rapeseed trial. Codes
written for the SAS programming language.
- Journal of Agricultural, Biological, and Environmental Sciences, 3(3): 335-345.
- Crop Science, 32: 922-927.
- Individual-Plant Growth Model
An Individual-Plant Growth Algorithm for Modeling Competition Between Spring Barley and Wild Oat.
Command line routines written in ANSI C and the Perl scripting language.
- Trends in Agrononmy, 1: 96-102.
- Bootstrap for Cardinal Temperatures
A bootstrapping procedure for estimation of cardinal temperatures, i.e. base, Maximum, and optimum
temperatures for seed germination. Examples are given for Common Crupina, a weed found in the North
Western United States. Codes written for the SAS programming language.
- Journal of Agricultural, Biological, and Environmental Sciences, 6(3): 356-366.
- Remote Sensing Agreement Measures
Bayesian Methods for Assessing the Detection Accuracy in Remote Sensing. Command
line routines written in ANSI C and the Perl scripting language.
- In 1998 proceedings of the American Statistical Association, Section on Bayesian Statistics, pp 22-27.
- In 2001 proceedings of the American Statistical Association, Section on Bayesian Statistics, CDROM.
- Binomial, Bootstrap and Bayesian Methods for Agreement Measures
These programs compute Binomial, Bayesian and Bootstrap estimations
of the omissional and commissional error rates used in assessing the reliability of
remotely sensed imagery. Command line routines written in ANSI C and the Perl scripting language.
- In Proceedings of the 2001 Applied Statistics in Agriculture Conference, KSU, 70-84.
- Seed Dispersal Simulation
A simulation model for following the distribution of Wild Oat seed within a Spring Barley
cropping system. The model is capable of working on large scales and can be adjusted for various
factors. Command line routines written in ANSI C and the Perl scripting language.
- In Proceedings of the 2000 Applied Statistics in Agriculture Conference, KSU, 134-147.
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