A little bit
about me
Astronomical Images and Videos
Solar Eclipse
August 21, 2017
Brass Tacks
A sample of research publications
Courses I teach
All research is collaborative
Selected Publications
Precision Agriculture and the Development of Variable-Rate Treatment Prescriptions
by McCarter, K.S., Burris, E., Milliken, G.A., Clawson, E.L., Wong, H.Y., Willers, J. L.
Proceedings of the Nineteenth Annual Kansas State University Conference on Applied Statistics in Agriculture.
free pdfs available at these links
by McCarter, K., Burris, E.
Proceedings of the 10th International Conference on Precision Agriculture.
by E. Burris, D. Burns, K.S. McCarter, C. Overstreet, M. Wolcott.
Precision Agriculture.
Designing Experiments To Evaluate The Effectiveness Of Precision Agricultural Practices On Research Fields: Part 1 Concepts For Their Formulation,
by George Milliken, Jeffrey Willers, Kevin McCarter, and Johnie Jenkins.
Operational Research.
Applications of
Multivariate Statistical Analysis
Medicine and Health Care
Cochlear Trajectory In Pediatric Patients,
by Jackson, N. M., Givens, V. B., Carpenter, C. C., Allen, L. M., Morrell, B. B., Hurth, C., Arriaga, M. A., Ying, Y.-L. M., Arcement, C., McCarter, K. S. and Jeyakumar, A.
The Laryngoscope.
Use of Brief Smoking Consequences Questionnaire for Adults (SCQ-A) in African-American Smokers,
by Jeffries, Shawn K., Catley, Delwyn, Okuyemi, Kolawole S., Nazir, Niaman, McCarter, Kevin S., Grobe, James E., Ahluwalia, Jasjit S.
Psychology of Addictive Behaviors.
Developing electronic noses and tongues
Chemistry
Ionic Liquid-Based Optoelectronic Sensor Arrays for Chemical Detection,
by Waduge Indika S. Galpothdeniya, Kevin S. McCarter, Sergio L. De Rooy, Bishnu P. Regmi, Susmita Das, Farhana Hasan, Attres Tagge and Isiah M. Warner.
RSC Advances.
for detecting, differentiating, and identifying chemical constituents in both air and aqueous solutions.
Virtual Colorimetric Sensor Array: Single Ionic Liquid for Solvent Discrimination,
by Galpothdeniya, Waduge Indika S., Bishnu Prasad Regmi, Kevin S McCarter, Sergio L. De Rooy, Noureen Siraj, and Isiah M Warner.
Analytical Chemistry.
Vapor identification and molecular weight approximation,
by Speller, Nicholas C., Noureen Siraj, Kevin S. McCarter, Stephanie Vaughan, Isiah M. Warner.
Sensors and Actuators B: Chemical.
Ratiometric fluorescence detection of hydroxyl radical using cyanine-based binary nanoGUMBOS,
by Cong, Mingyan, Noureen Siraj, Nimisha Bhattarai, Paulina E. Kolica, Kevin S. McCarter, Pratap K. Chhotaray, Isiah M.Warner.
Sensors and Actuators B: Chemical.
by Vaughn, Stephanie R., Nicholas C. Speller, Pratap Chhotaray, Kevin S. McCarter, Noureen Siraj, Rocio L. Perez, Yue Li, Isiah M. Warner.
Communication Disorders
by Todd A. Gibson, Elizabeth D. Pena, Lisa M. Bedore, and Kevin S. McCarter.
International Journal of Bilingual Education and Bilingualism.
Civil Engineering
by Thapa, Raju, Julius Codjoe, Sherif Ishak, Kevin S McCarter.
Traffic Injury Prevention.
Horticulture
Simazine May Be A Better Choice Than Atrazine For Home Lawns Near Surface Waters,
by Jeffrey Beasley, Miao Liu, Ron Strahan, Jeff Kuehny, Kevin McCarter and Kim Pope.
Louisiana Agriculture.
Applications of
Structural Equation Modeling
Nutrition and Food Science
by Rhea, Kwadernica C., Melissa W. Cater, Kevin McCarter, Georgianna Tuuri.
Journal of Nutrition Education and Behavior.
Applications of
Predictive Modeling
Educational Intervention
by Paul Mooney, Kevin S. McCarter, Jodie Schraven, John M. Hintze, Emily Mooney, Darlene Landry, Terri Colclough, Kristin A. Gansle, R. Kenton Denny, Gerlinde Grandstaf-Beckers, Gregory J. Benner, Jill H. Allor.
International Journal of Psychology: A Biopsychosocial Approach.
The Relationship Between Content Area GOM and Statewide Testing in Sixth-Grade World History,
by Paul Mooney, Kevin S. McCarter, Jodie Schraven, Beth Haydel.
Assessment for Effective Intervention.
by Paul Mooney, Kevin S. McCarter, Jodie Schraven, Scarlet Callicoatte.
Exceptional Children.
Examining an Online Content General Outcome Measure: Technical Features of the Static Score,
by Paul Mooney, Kevin S. McCarter, Robert J. Russo Jr., Danielle L. Blackwood.
Content Area Measurement Using Curriculum-Based Measurement. Ed. Erica S. Lembke. Spec. issue of Assessment for Effective Intervention.
by Mooney, P., McCarter, K. S., Russo, R. J., & Blackwood, Danielle L
Social Welfare: Interdisciplinary Approach.
Applications of Experimental Design, General and Generalized
Linear Mixed Modeling, Hierarchical Linear Modeling (HLM)
Medicine and Health Care
by Hellings, Jessica A., Nickel, Elizabeth J., Weckbaugh, Marilyn, McCarter, Kevin, Mosier, Michael, and Schroeder, Stephen R.
Journal of Neuropsychiatry and Clinical Neurosciences.
Office Systems and Their Influence on Mammography Use in Rural and Urban Primary Care,
by Engelman, Kimberly K., Ellerbeck, Edward F., Perpich, Denise, Nazir, Niaman, McCarter, Kevin, Ahluwalia, Jasjit S.
Journal of Rural Health.
Reading Nutrition Labels And Fat Consumption In Adolescents,
by Huang, T.T.K., Ahluwalia, H.K., McCarter, K.S., Nazir, N., Choi, W.S., Ahluwalia, J.S.
Journal of Adolescent Health.
Gender, Smoking Expectancies and Readiness to Quit Among Urban African American Smokers,
by Pulvers, K.M., Catley, D., Okuyemi, K.S., Scheibmeir, M., McCarter, K.S., Jeffries, S.K., Ahluwalia, J.S.
Addictive Behaviors.
Quality of Life In Patients With Allergic Contact Dermatitis,
by Kadyk, Deana L., McCarter, Kevin, Achen, Fritz, Belsito, Donald V.
Journal of the American Academy of Dermatology.
Predicting Adoption of Home Smoking Restriction by Inner-city Black Smokers,
by Okah, Felix A., Okuyemi, Kolawole S., McCarter, Kevin S., Harris, Kari Jo, Catley, Delwyn, Ahluwalia, Harsohena Kaur, Ahluwalia, Jasjit S.
Archives of Pediatrics & Adolescent Medicine.
Impact of Patient Characteristics on Physician Counseling Strategies for Smoking Cessation,
by Ellerbeck, E.F., Choi, W.S., McCarter, K.S., Jolicoeur, D.G., Greiner, A., Ahluwalia, J.S.
Preventive Medicine.
Biology and Environmental Sciences
by Garrison-Schilling KL, Grau BL, McCarter KS, Olivier BJ, Comeaux NE, Pettis GS.
Environmental Microbiology.
Manganese is an additional cation that enhances colonial phase variation of Vibrio vulnificus,
by Kaluskar, Zelam M., Katherine L. Garrison-Schilling, Kevin S. McCarter, Bliss Lambert, Shelby R. Simar, Gregg S. Pettis.
Environmental Microbiology Reports.
Plant Science
Winter Crops As Bioassays Of Soil N-Supplying Capacity,
by E. L. Clawson, H.J. Mascagni, Jr., G.A. Breitenbeck, D. Boquet, J. Liscano, and K. McCarter.
Journal of Plant Nutrition.
Kinesiology
by Moore, D., Ellis, R., Fabre, J., Osma, M., McCarter, K., Wood, R.
Research Quarterly for Exercise and Sport.
Nutrition and Food Science
by Juan Moreira, Kevin McCarter, Julysa Abril Benitez, Kathryn Fontenot, Joan M. King, Achyut Adhikari (2023).
Journal of Food Protection.
Entomology
by Christina L Mogren, Maria-Soledad Benitez, Kevin McCarter, Frederic Boyer, Jonathan G Lundgren.
Conservation Physiology.
Natural Incidence Of Stem Borer Damage In U.S. Rice Varieties,
by Michael Stout, Kevin McCarter, James Villegas, and Blake Wilson.
Crop Protection.
Co-Authored
Statistical Monographs
Applied Statistics in Agricultural, Biological, and Environmental Sciences
Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences
Dissertation (KSU, 1999)
Title: “Estimation and Prediction for the Birnbaum-Saunders Distribution Using Type-II Censored Samples, with a Comparison to the Inverse Gaussian Distribution”
Year Defended: 1999
Style: Monograph
Pages: 712
Number of Chapters & Appendices:
- 6 Chapters
- 22 Appendices
Abstract:
This dissertation investigates estimation and prediction for the Birnbaum-Saunders distribution using type-II censored samples.
A procedure for computing the maximum-likelihood estimators of the parameters is given. The small-sample properties of the maximum-likelihood parameter estimators are investigated using Monte-Carlo simulation. The maximum-likelihood estimators are shown to be asymptotically normally distributed and asymptotically correlated when computed from type-II censored samples.
In proving asymptotic normality a new class of functions is introduced that has several interesting properties. Every density in this class is shown to have positive and negative moments of all orders, as well as a moment-generating function. Both the Birnbaum-Saunders density and the inverse Gaussian density are shown to be in this class.
Several procedures for constructing confidence interval estimates of the parameters are investigated and compared. Regression-based calibration is used to improve the coverage performance of some of the confidence interval procedures.
The maximum-likelihood estimator of a population quantile is computed using type-II censored samples. The distributional properties of the maximum-likelihood quantile estimator are investigated. Several procedures for constructing confidence interval estimates of a population quantile are investigated and compared.
Procedures for constructing prediction intervals for within-sample future failure times are investigated and compared. One of the procedures is based on the limiting distribution of the largest order statistic, which is derived in this dissertation.
The appropriateness of basing inference for the Birnbaum-Saunders distribution on the inverse Gaussian distribution, and also of approximating the inverse Gaussian distribution by the Birnbaum-Saunders distribution, is assessed. The Hellinger distance is used to provide a theoretical measure of the error involved in approximating a member of one family by a member of the other family, in order to identify conditions under which such an approximation should not be used. Monte-Carlo simulation is then used to provide an empirical assessment of the reliability of inferences made using such approximations.
Available on Amazon
Kindle
Print (2 volumes)
click or scan QR code
click or scan QR code
8.5 x 11 Paperback
8.5 x 11 Hardcover
Teaching
EXST 4012 - Fundamental Sampling Techniques
Description
This is an undergraduate course on sampling techniques and the statistical methods required to correctly analyze the data obtained using these sampling techniques.
Course Modules
- Module 1 - Descriptive Statistics
- Module 2 - Sampling Distributions and the Central Limit Theorem
- Module 3 - IID Random Sampling
- Module 4 - Simple Random Sampling
- Module 5 - Stratified Random Sampling
- Module 6 - Ratio and Regression Estimation
- Module 7 - Cluster Random Sampling
EXST 4050 - Principles and Theory of Statistics
Description
This is a one-semester, calculus-based statistical theory course designed for students pursuing the Minor in Applied Statistics.
Course Modules
- Module 1 - Probability and Distribution Theory
- Module 2 - Theory of Sampling Distributions
- Module 3 - General Concepts of Inference
- Module 4 - Inference Procedures for One Population
- Module 5 - Inference Procedures for Two Populations
EXST 7003 - Statistical Inference I
Description
This is the first course in a two-semester sequence in Applied Statistics for graduate students in the social sciences.
Course Modules
- Module 1 - Descriptive Statistics
- Module 2 - Probability, Distributions, Sampling Distributions, and the Central Limit Theorem
- Module 3 - Principles of Inference
- Module 4 - Inferences Involving One Population
- Module 5 - Inferences Involving Two Populations
- Module 6 - Inferences Involving Two or More Populations
- Module 7 - Linear Regression
EXST 7004 - Experimental Statistics I
Description
This is the first course in a two-semester sequence in Applied Statistics for graduate students in the field sciences.
Course Modules
- Module 1 - Descriptive Statistics
- Module 2 - Probability, Distributions, Sampling Distributions, and the Central Limit Theorem
- Module 3 - Principles of Inference
- Module 4 - Inferences Involving One Population
- Module 5 - Inferences Involving Two Populations
- Module 6 - Inferences Involving Two or More Populations
- Module 7 - Linear Regression
EXST 7011 - Nonparametric Statistics
Description
This course presents nonparametric alternatives to the statistical methods covered in a first statistical methods course.
Course Modules
- Module 1 - Review of Statistical Concepts and Procedures
- Module 2 - One-Population Location Tests and Comparing the Locations of Two-Populations Using Paired Samples
- Module 3 - Comparing Two or More Populations Using Independent Samples
- Module 4 - Nonparametric Analysis of RCB Experiments
- Module 5 - Assessing the Nature and Strength of the Relationship Between Two Variables
EXST 7012 - Introduction to Sampling Techniques
Description
This is a graduate course on sampling techniques and the statistical methods required to correctly analyze the data obtained using these sampling techniques.
Course Modules
- Module 1 - Descriptive Statistics
- Module 2 - Sampling Distributions and the Central Limit Theorem
- Module 3 - IID Random Sampling
- Module 4 - Simple Random Sampling
- Module 5 - Stratified Random Sampling
- Module 6 - Ratio and Regression Estimation
- Module 7 - Cluster Random Sampling
EXST 7031 - Experimental Design
Description
This is a graduate course on experimental design and the statistical methods required to correctly analyze the data obtained using these experimental designs.
Course Modules
- Module 1 - Introductory Concepts
- Module 2 - Completely Randomized Design
- Module 3 - Randomized Complete Block Design
- Module 4 - Latin Square Design
- Module 5 - Factorial Experiments
- Module 6 - Fractional Factorial Treatment Structures
- Module 7 - Confounding and Aliasing
EXST 7034 - Regression Analysis
Description
This is a graduate course on linear regression.
Course Modules
- Module 1 - Introduction to Linear Regression Analysis, Mathematical and Statistical Preliminaries
- Module 2 - Simple Linear Regression
- Module 3 - Multiple Linear Regression
- Module 4 - Model Adequacy Checking
EXST 7037 - Multivariate Statistics
Description
This is a graduate course on multivariate statistics.
Course Modules
- Module 1 - Distribution Theory
- Module 2 - The Multivariate Normal Distribution
- Module 3 - Characteristic Roots and Characteristic Vectors
- Module 4 - Principal Component Analysis
- Module 5 - Multivariate Analysis of Variance
- Module 6 - Multivariate Multiple Regression
- Module 7 - Canonical Correlation Analysis
- Module 8 - Discriminant Analysis
- Module 9 - Factor Analysis
EXST 7047 - SEM & HLM
Description
This is a graduate course on structural equation modeling (SEM) and hierarchical linear modeling (HLM).
Course Modules
- Module 1 - Concepts from Multivariate Analysis
- Module 2 - Structural Equation Modeling (SEM)
- Module 3 - Hierarchical Linear Modeling (HLM)
Statistical Consulting & Research Collaboration
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