Peyton Cook, PhD
Bio
Peyton Cook received his Ph.D. in Statistics from Oklahoma State University in 1983. He has published papers on the theory of Bayesian Statistical Inference as well as papers applying statistics to business and biology. His current interest is HenstockKurzweil integration.
Research Interests
Bayesian Statistical Inference
ARIMA time series
Financial mathematics and numerical solutions to Ito Processes
Econometrics
Generalized Riemann Integration
Teaching Interests
Statistics Methods for Engineers and Scientists
Ordinary Differential Equations
Calculus II, Integration and Series
BoxJenkins Time Series Forecasting
Generalized Linear Models
Probability for Actuaries
Basic Calculus
Publications
Journal Articles

Sanderson, Charlotte E., Peyton Cook, Peggy S. M. Hill, Benjamin S. Orozco, Harrington Wells and Charles I. Abramson. 2013. Nectar quality perception by honey bees (Apis mellifera ligustica). Journal of Comparative Psychology 127: 341251. DOI:10.1037/a0032613

Cook, P, C. Fu, M. Hickey, E. Han, and K. S. Miller (2004), “SAS programs for realtime RTPCR having multiple independent samples”, BioTechniques 37, pp. 990995

Marino, J. H., P. Cook, and K. S. Miller (2003), “Accurate and statistically verified quantification of relative mRNA abundances using SYBR Green I and realtime RTPCR”, Journal of Immunological Methods, 283, pp. 291306

Cakmak, I., Cook, P., Hollis, J., Shah, N., Huntley, D., Van Valkenburg, D., and H. Wells (1999), “Africanized Honey Bee Response to Differences in Reward Frequency”, Journal of Apicultural Research, 38(34), pp. 125136

Wells, H., Cakmak, I, Cook, P., and D. Van Valkenburg (1998), “Alternative Africanization Models for the Yucatan: Continued Discussion”, Bee World, pp. 106111

Broemeling, L. D. and P. Cook (1997), “A Bayesian Analysis of Regression Models with Continuous Errors with Application to Longitudinal Studies”, Statistics in Medicine, 16, pp. 321332

Cook, P. and L. D. Broemeling (1995), “Bayesian Statistics with Mathematica”, The American Statistician, Vol. 49, No. 1, pp. 7076

Cook, P. and L. D. Broemeling (1994), “A Bayesian WLS Approach to Generalized Linear Models”, Communications in Statistics, 23(12), pp. 33233347

Cook, P. and L. D. Broemeling (1993), “Bayesian Estimation of the Mean of an Autoregressive Process”, The Journal of Applied Statistics, 20(1), pp. 2539

Broemeling, L. D. and P. Cook (1992), “Bayesian Analysis of Threshold Autoregressions”, Communications in Statistics, 21(9), pp. 24592482

Broemeling, L.D., Cook, P., and M. Gharraf (1990), “A Bayesian Analysis of the Mixed Linear Model”, Communications in Statistics, A19(3), pp. 9871002

Wells, H. Wells, P. H., and P. Cook (1989), “The Importance of Overwinter Aggregation for Reproductive Success of Monarch Butterflies (anaus plexippus)”, The Journal of Theoretical Biology, pp. 115131

Cook, Peyton J. (1987), “Bayesian Autoregressive Filter and Squared Gain Estimation”, Communications in Statistics, 16(9), pp. 26972715

Cook, Peyton (1985), “Bayesian Autoregressive Spectral Analysis”, Communications in Statistics, A14(5), pp. 10011018

Berberet, R.D., Cook, P.J., and D. A. Sander (1982), “Fecundity of the Lesser Cornstalk Borer, Elasmopalpus lignosellus, from Florunner and Spanhoma Peanut Cultivars”, Peanut Science, 9, pp. 6062. Also listed as Journal Article 4118 of the Agric. Exp. Station, Okla. State Univ, Stillwater, Okla.
Conference Proceedings

Pomeranz, S., and P. Cook. My Fifty Years of Calculus. ASEE: 2017 American Society for Engineering Education Annual Conference Proceedings, 2017.

Letcher, J. H., O’Neil, K. A., and P. Cook (1993), “An Imaging Device that Uses the Wavelet Transformation as the Image Reconstruction Algorithm: Part III”, Proceedings of the IEE, UK., Acoustic Sensing and Imaging, 2930 March 1993, pp. 5659

Cook, P., Broemeling, L., and M. Gharraf (1990), “Using a Mixed Model Analysis to Improve the Manufacturing Process”” Proceedings of the First Oklahoma Quality Conference, Stillwater, Oklahoma, pp. 5063

Broemeling, L. D. and P. Cook (1988), “Bayesian Forecasting”, contained in The American Statistical Association 1988 Proceedings of the Business and Economic Statistics Section, pp. 590595
Book Chapters

Cook, P. and L. D. Broemeling (1996), “Analyzing Threshold Autoregressions with a Bayesian Approach”, in Advances in Econometrics: Bayesian Methods Applied to Time Series Data, Vol. 11B, pp. 89107, JAI Press, Inc., Greenwich, Connecticut

Broemeling, L. D., Cook, P., and J. Chin Choy (1991), “Bayesian Inferences about the Intersection of Two Regressions”, Chapter 6, pp. 7784, in Economic Structural change:Analysis and Forecasting, edited by Hackl and Westlund, SpringerVerlag

Cook, Peyton J. (1988), “Small Sample Bayesian Frequency Domain Analysis of Autoregressive Models”, Chapter 5 in Bayesian Analysis of Time Series and Dynamic Models, pp. 101126, edited by James C. Spall, Marcel Dekker, New York
Courses Taught
 Statistical Methods for Scientists and Engineers
 Mathematical Statistics
 Differential Equations