Year |
Citation |
Score |
2020 |
Lu L, Anderson-Cook CM, Ahmed T. Non-uniform space filling (NUSF) designs Journal of Quality Technology. 1-22. DOI: 10.1080/00224065.2020.1727801 |
0.438 |
|
2020 |
Stevens NT, Rigdon SE, Anderson-Cook CM. Bayesian probability of agreement for comparing the similarity of response surfaces Journal of Quality Technology. 52: 67-80. DOI: 10.1080/00224065.2019.1569961 |
0.304 |
|
2020 |
Morgan JC, Chinen AS, Anderson-Cook C, Tong C, Carroll J, Saha C, Omell B, Bhattacharyya D, Matuszewski M, Bhat KS, Miller DC. Development of a framework for sequential Bayesian design of experiments: Application to a pilot-scale solvent-based CO2 capture process Applied Energy. 262: 114533. DOI: 10.1016/J.Apenergy.2020.114533 |
0.398 |
|
2019 |
Anderson-Cook CM, Lu L, Myers KL, Quinlan KR, Pawley N. Improved learning from data competitions through strategic design of training and test data sets Quality Engineering. 31: 564-580. DOI: 10.1080/08982112.2019.1572186 |
0.327 |
|
2019 |
Stevens NT, Anderson-Cook CM. Design and analysis of confirmation experiments Journal of Quality Technology. 51: 109-124. DOI: 10.1080/00224065.2019.1571344 |
0.397 |
|
2019 |
Mancenido MV, Pan R, Montgomery DC, Anderson-Cook CM. Comparing D-optimal designs with common mixture experimental designs for logistic regression Chemometrics and Intelligent Laboratory Systems. 187: 11-18. DOI: 10.1016/J.Chemolab.2019.02.003 |
0.471 |
|
2018 |
Anderson-Cook CM, Hamada MS. Quality quandaries: Incorporating practical constraints into a designed experiment Quality Engineering. 30: 534-541. DOI: 10.1080/08982112.2018.1450511 |
0.411 |
|
2018 |
Jang D, Anderson-Cook CM. Assessing robustness of factor ranking for supersaturated designs Quality and Reliability Engineering International. 34: 417-426. DOI: 10.1002/Qre.2262 |
0.389 |
|
2017 |
Quinlan KR, Anderson-Cook CM, Myers KL. The weighted priors approach for combining expert opinions in logistic regression experiments Quality Engineering. 29: 484-498. DOI: 10.1080/08982112.2017.1319956 |
0.475 |
|
2017 |
Thomas EJ, Lewis JR, Anderson-Cook CM, Burr T, Hamada MS. Selecting an Informative/Discriminating Multivariate Response for Inverse Prediction Journal of Quality Technology. 49: 228-243. DOI: 10.1080/00224065.2017.11917992 |
0.37 |
|
2017 |
Lewis JR, Zhang A, Anderson-Cook CM. Comparing multiple statistical methods for inverse prediction in nuclear forensics applications Chemometrics and Intelligent Laboratory Systems. 175: 116-129. DOI: 10.1016/J.Chemolab.2017.10.010 |
0.368 |
|
2017 |
Cao Y, Lu L, Anderson-Cook CM. Uncertainty analysis of trade-offs between multiple responses using hypervolume Quality and Reliability Engineering International. 33: 2343-2360. DOI: 10.1002/Qre.2193 |
0.324 |
|
2017 |
Jang D, Anderson-Cook CM. Examining robustness of model selection with half-normal and LASSO plots for unreplicated factorial designs Quality and Reliability Engineering International. 33: 1921-1928. DOI: 10.1002/Qre.2156 |
0.426 |
|
2017 |
Jang DH, Anderson-Cook CM. Influence plots for LASSO Quality and Reliability Engineering International. 33: 1317-1326. DOI: 10.1002/Qre.2106 |
0.37 |
|
2017 |
Lu L, Chapman JL, Anderson-Cook CM. Multiple Response Optimization for Higher Dimensions in Factors and Responses Quality and Reliability Engineering International. 33: 727-744. DOI: 10.1002/Qre.2051 |
0.329 |
|
2016 |
Weaver BP, Williams BJ, Anderson-Cook CM, Higdon DM. Computational enhancements to Bayesian design of experiments using Gaussian processes Bayesian Analysis. 11: 191-213. DOI: 10.1214/15-Ba945 |
0.456 |
|
2016 |
Anderson-Cook CM, Burke SE. Discussion of “Bayesian design of experiments for generalized linear models and dimensional analysis with industrial and scientific application” Quality Engineering. 29: 107-109. DOI: 10.1080/08982112.2016.1246049 |
0.405 |
|
2016 |
Jang DH, Anderson-Cook CM. Firework Plots for Evaluating the Impact of Outliers and Influential Observations in Ridge Regression Quality and Reliability Engineering International. DOI: 10.1002/Qre.2050 |
0.384 |
|
2016 |
Anderson-Cook CM, Hamada MS, Burr TL. The Impact of Response Measurement Error on the Analysis of Designed Experiments Quality and Reliability Engineering International. 32: 2415-2433. DOI: 10.1002/Qre.1945 |
0.327 |
|
2016 |
Kim Y, Jang DH, Anderson-Cook CM. Graphical methods for evaluating covering arrays Quality and Reliability Engineering International. 32: 1467-1481. DOI: 10.1002/Qre.1857 |
0.349 |
|
2015 |
Jang D, Anderson-Cook CM, Kim Y. Graphical methods for the sensitivity analysis in discriminant analysis Communications For Statistical Applications and Methods. 22: 475-485. DOI: 10.5351/Csam.2015.22.5.475 |
0.337 |
|
2015 |
Anderson-Cook CM, Morzinski J, Blecker KD. Statistical Model Selection for Better Prediction and Discovering Science Mechanisms That Affect Reliability System. 3: 109-132. DOI: 10.3390/Systems3030109 |
0.359 |
|
2015 |
Jang D, Anderson-Cook CM. Firework Plots for Evaluating the Impact of Outliers and Influential Observations in Generalized Linear Models Quality Technology and Quantitative Management. 12: 423-436. DOI: 10.1080/16843703.2015.11673429 |
0.368 |
|
2015 |
Anderson-Cook C, Burr T, Hamada MS, Ruggiero C, Thomas EV. Design of experiments and data analysis challenges in calibration for forensics applications Chemometrics and Intelligent Laboratory Systems. 149: 107-117. DOI: 10.1016/J.Chemolab.2015.07.008 |
0.374 |
|
2015 |
Weaver BP, Warr RL, Anderson-Cook CM, Higdon DM. Visualizing discrepancies from nonlinear models and computer experiments Statistical Analysis and Data Mining. 8: 274-286. DOI: 10.1002/Sam.11282 |
0.306 |
|
2015 |
Chapman JL, Lu L, Anderson-Cook CM. Impact of response variability on Pareto front optimization Statistical Analysis and Data Mining. 8: 314-328. DOI: 10.1002/Sam.11279 |
0.328 |
|
2015 |
Anderson-Cook CM, Burr T, Hamada MS, Thomas EV. Statistical Analysis for Nuclear Forensics Experiments Statistical Analysis and Data Mining. DOI: 10.1002/Sam.11278 |
0.349 |
|
2015 |
Jang DH, Anderson-Cook CM. Visualization Approaches for Evaluating Ridge Regression Estimators in Mixture and Mixture-Process Experiments Quality and Reliability Engineering International. 31: 1483-1494. DOI: 10.1002/Qre.1683 |
0.379 |
|
2015 |
Lin CD, Anderson-Cook CM, Hamada MS, Moore LM, Sitter RR. Using genetic algorithms to design experiments: A review Quality and Reliability Engineering International. 31: 155-167. DOI: 10.1002/Qre.1591 |
0.398 |
|
2015 |
Anderson-Cook CM. Opportunities to empower statisticians in emerging areas Applied Stochastic Models in Business and Industry. 31: 3-11. DOI: 10.1002/Asmb.2067 |
0.348 |
|
2014 |
Lu L, Robinson TJ, Anderson-Cook CM. A case study to select an optimal split-plot design for a mixture-process experiment based on multiple objectives Quality Engineering. 26: 424-439. DOI: 10.1080/08982112.2014.887102 |
0.444 |
|
2014 |
Lu L, Johnson ME, Anderson-Cook CM. Selecting a best two-level 16-run screening design from the catalog of nonisomorphic regular and nonregular designs for six to eight factors Quality Engineering. 26: 269-284. DOI: 10.1080/08982112.2013.854903 |
0.469 |
|
2014 |
Chapman JL, Lu L, Anderson-Cook CM. Process optimization for multiple responses utilizing the pareto front approach Quality Engineering. 26: 253-268. DOI: 10.1080/08982112.2013.852681 |
0.334 |
|
2014 |
Lu L, Anderson-Cook CM, Lin DKJ. Optimal designed experiments using a Pareto front search for focused preference of multiple objectives Computational Statistics and Data Analysis. 71: 1178-1192. DOI: 10.1016/J.Csda.2013.04.008 |
0.413 |
|
2014 |
Chapman JL, Lu L, Anderson-Cook CM. Incorporating response variability and estimation uncertainty into Pareto front optimization Computers and Industrial Engineering. 76: 253-267. DOI: 10.1016/J.Cie.2014.07.028 |
0.37 |
|
2014 |
Jang DH, Anderson-Cook CM. Firework plot as a graphical exploratory data analysis tool for evaluating the impact of outliers in data exploration and regression Quality and Reliability Engineering International. 30: 1409-1425. DOI: 10.1002/Qre.1563 |
0.349 |
|
2014 |
Jang DH, Anderson-Cook CM, Kim Y. Correlation-based r-plot for evaluating supersaturated designs Quality and Reliability Engineering International. 30: 503-512. DOI: 10.1002/Qre.1503 |
0.464 |
|
2014 |
Lu L, Anderson-Cook CM. Balancing multiple criteria incorporating cost using pareto front optimization for split-plot designed experiments Quality and Reliability Engineering International. 30: 37-55. DOI: 10.1002/Qre.1476 |
0.441 |
|
2013 |
Lu L, Chapman JL, Anderson-Cook CM. A case study on selecting a best allocation of new data for improving the estimation precision of system and subsystem reliability using pareto fronts Technometrics. 55: 473-487. DOI: 10.1080/00401706.2013.831776 |
0.383 |
|
2013 |
Lu L, Anderson-Cook CM. Adapting the hypervolume quality indicator to quantify trade-offs and search efficiency for multiple criteria decision making using pareto fronts Quality and Reliability Engineering International. 29: 1117-1133. DOI: 10.1002/Qre.1464 |
0.356 |
|
2012 |
Pintar A, Lu L, Anderson-Cook CM, Silver GL. Bayesian estimation of reliability for batches of high reliability single-use parts Quality Engineering. 24: 473-485. DOI: 10.1080/08982112.2012.694334 |
0.301 |
|
2012 |
Anderson-Cook CM, Klamann RM, Morzinski J. Modeling the reliability of complex systems with multiple data sources: A case study on making statistical tools accessible to engineers Quality Engineering. 24: 280-291. DOI: 10.1080/08982112.2012.641152 |
0.332 |
|
2012 |
Anderson-Cook CM, Lu L, Clark G, Dehart SP, Hoerl R, Jones B, MacKay RJ, Montgomery D, Parker PA, Simpson J, Snee R, Steiner SH, Van Mullekom J, Vining GG, Wilson AG. Statistical engineering-forming the foundations Quality Engineering. 24: 110-132. DOI: 10.1080/08982112.2012.641150 |
0.31 |
|
2012 |
Lu L, Anderson-Cook CM. Rethinking the optimal response surface design for a first-order model with two-factor interactions, when protecting against curvature Quality Engineering. 24: 404-422. DOI: 10.1080/08982112.2012.629940 |
0.485 |
|
2012 |
Jensen W, Anderson-Cook C, Costello JA, Doganaksoy N, Hoerl RW, Janis S, O’Neil J, Rodebaugh B, Snee RD. Statistics to Facilitate Innovation : A Panel Discussion Quality Engineering. 24: 2-19. DOI: 10.1080/08982112.2012.621865 |
0.3 |
|
2012 |
Chapman JL, Morris MD, Anderson-Cook CM. Computationally efficient comparison of experimental designs for system reliability studies with binomial data Technometrics. 54: 410-424. DOI: 10.1080/00401706.2012.694784 |
0.438 |
|
2012 |
Robinson TJ, Pintar AL, Anderson-Cook CM, Hamada MS. A bayesian approach to the analysis of split-plot combined and product arrays and optimization in robust parameter design Journal of Quality Technology. 44: 304-320. DOI: 10.1080/00224065.2012.11917903 |
0.407 |
|
2012 |
Pintar A, Anderson-Cook CM, Wu H. Model selection for good estimation and prediction over a user-specified covariate distribution for linear models under the frequentist paradigm Quality and Reliability Engineering International. 28: 767-782. DOI: 10.1002/Qre.1273 |
0.388 |
|
2012 |
Jang DH, Anderson-Cook CM, Kim Y. Three-dimensional quantile plots and dynamic quantile plots of the prediction variance for response surface designs Quality and Reliability Engineering International. 28: 713-723. DOI: 10.1002/Qre.1263 |
0.462 |
|
2012 |
Lu L, Anderson-Cook CM, Robinson TJ. A case study to demonstrate a Pareto Frontier for selecting a best response surface design while simultaneously optimizing multiple criteria Applied Stochastic Models in Business and Industry. 28: 206-221. DOI: 10.1002/Asmb.940 |
0.444 |
|
2012 |
Otieno SB, Anderson-Cook CM. Design and Analysis of Experiments for Directional Data Design and Analysis of Experiments. 3: 501-532. DOI: 10.1002/9781118147634.ch15 |
0.334 |
|
2011 |
Lu L, Anderson-Cook CM, Robinson TJ. Optimization of designed experiments based on multiple criteria utilizing a pareto frontier Technometrics. 53: 353-365. DOI: 10.1198/Tech.2011.10087 |
0.476 |
|
2011 |
Izraelevitz AM, Anderson-Cook CM, Hamada MS. Illustrating the use of statistical experimental design and analysis for multiresponse prediction and optimization Quality Engineering. 23: 265-277. DOI: 10.1080/08982112.2011.575499 |
0.404 |
|
2011 |
Robinson TJ, Anderson-Cook CM. A closer look at D-optimality for screening designs Quality Engineering. 23: 1-14. DOI: 10.1080/08982112.2010.505220 |
0.373 |
|
2011 |
Anderson-Cook CM, Crowder S, Huzurbazar AV, Lorio J, Ringland J, Wilson AG. Quantifying reliability uncertainty from catastrophic and margin defects: A proof of concept Reliability Engineering and System Safety. 96: 1063-1075. DOI: 10.1016/J.Ress.2010.10.006 |
0.31 |
|
2011 |
Wilson AG, Anderson-Cook CM, Huzurbazar AV. A case study for quantifying system reliability and uncertainty Reliability Engineering and System Safety. 96: 1076-1084. DOI: 10.1016/J.Ress.2010.09.012 |
0.358 |
|
2011 |
Monroe EM, Pan R, Anderson-Cook CM, Montgomery DC, Borror CM. A generalized linear model approach to designing accelerated life test experiments Quality and Reliability Engineering International. 27: 595-607. DOI: 10.1002/Qre.1143 |
0.441 |
|
2011 |
Jang DH, Anderson-Cook CM. Fraction of design space plots for evaluating ridge estimators in mixture experiments Quality and Reliability Engineering International. 27: 27-34. DOI: 10.1002/Qre.1104 |
0.448 |
|
2009 |
Anderson-Cook CM, Borror CM, Jones B. Graphical tools for assessing the sensitivity of response surface designs to model misspecification Technometrics. 51: 75-87. DOI: 10.1198/Tech.2009.0008 |
0.489 |
|
2009 |
Robinson TJ, Anderson-Cook CM, Hamada MS. Bayesian analysis of split-plot experiments with nonnormal responses for evaluating nonstandard performance criteria Technometrics. 51: 56-65. DOI: 10.1198/Tech.2009.0006 |
0.347 |
|
2009 |
Li J, Li L, Borror CM, Anderson-Cook C, Montgomery DC. Graphical Summaries to Compare Prediction Variance Performance for Variations of the Central Composite Design for 6 to 10 Factors Quality Technology and Quantitative Management. 6: 433-449. DOI: 10.1080/16843703.2009.11673209 |
0.465 |
|
2009 |
Abraham AA, Robinson TJ, Anderson-Cook CM. A Graphical Approach for Assessing Optimal Operating Conditions in Robust Design Quality Technology and Quantitative Management. 6: 235-253. DOI: 10.1080/16843703.2009.11673197 |
0.411 |
|
2009 |
Anderson-Cook CM, Robinson TJ. A designed screening study with prespecified combinations of factor settings Quality Engineering. 21: 392-404. DOI: 10.1080/08982110903179069 |
0.372 |
|
2009 |
Anderson-Cook CM. Opportunities and issues in multiple data type meta-analyses Quality Engineering. 21: 241-253. DOI: 10.1080/08982110903022533 |
0.388 |
|
2009 |
Anderson-Cook CM. Evaluating the series or parallel structure assumption for system reliability Quality Engineering. 21: 88-95. DOI: 10.1080/08982110802317380 |
0.337 |
|
2009 |
Anderson-Cook CM, Borror CM, Montgomery DC. Rejoinder for "Response surface design evaluation and comparison" Journal of Statistical Planning and Inference. 139: 671-674. DOI: 10.1016/J.Jspi.2008.04.009 |
0.362 |
|
2009 |
Anderson-Cook CM, Borror CM, Montgomery DC. Response surface design evaluation and comparison Journal of Statistical Planning and Inference. 139: 629-641. DOI: 10.1016/J.Jspi.2008.04.004 |
0.506 |
|
2009 |
Anderson-Cook CM, Graves TL, Hamada MS. Resource allocation for reliability of a complex system with aging components Quality and Reliability Engineering International. 25: 481-494. DOI: 10.1002/Qre.987 |
0.357 |
|
2008 |
Pickle SM, Robinson TJ, Birch JB, Anderson-Cook CM. A semi-parametric approach to robust parameter design Journal of Statistical Planning and Inference. 138: 114-131. DOI: 10.1016/J.Jspi.2007.05.018 |
0.461 |
|
2008 |
Ozol-Godfrey A, Anderson-Cook C, Robinson TJ. Fraction of design space plots for generalized linear models Journal of Statistical Planning and Inference. 138: 203-219. DOI: 10.1016/J.Jspi.2007.05.011 |
0.773 |
|
2008 |
Parker PA, Anderson-Cook C, Robinson TJ, Liang L. Robust split-plot designs Quality and Reliability Engineering International. 24: 107-121. DOI: 10.1002/Qre.886 |
0.455 |
|
2007 |
Anderson-Cook CM, Graves T, Hamada M, Hengartner N, Johnson VE, Reese CS, Wilson AG. Bayesian stockpile reliability methodology for complex systems Military Operations Research. 12: 25-37. DOI: 10.5711/Morj.12.2.25 |
0.332 |
|
2007 |
Anderson-Cook CM. Quality By Experimental Design The American Statistician. 61: 183-184. DOI: 10.1198/Tas.2007.S80 |
0.374 |
|
2007 |
Anderson-Cook CM. Variations on Split Plot and Split Block Experiment Designs Journal of Quality Technology. 39: 296-297. DOI: 10.1080/00224065.2007.11917694 |
0.407 |
|
2007 |
Liang L, Anderson-Cook CM, Robinson TJ. Cost-penalized estimation and prediction evaluation for split-plot designs Quality and Reliability Engineering International. 23: 577-596. DOI: 10.1002/Qre.835 |
0.479 |
|
2007 |
Anderson-Cook CM. When should you consider a split-plot design? Quality Progress. 40: 57-59. |
0.349 |
|
2006 |
Liang L, Anderson-Cook CM, Robinson TJ, Myers RH. Three-dimensional variance dispersion graphs for split-plot designs Journal of Computational and Graphical Statistics. 15: 757-778. DOI: 10.1198/106186006X157117 |
0.462 |
|
2006 |
Anderson-Cook CM, Ozol-Godfrey A. Using fraction of design space plots for informative comparisons between designs Response Surface Methodology and Related Topics. 379-407. DOI: 10.1142/9789812774736_0015 |
0.771 |
|
2006 |
Lucko G, Anderson-Cook CM, Vorster MC. Statistical considerations for predicting residual value of heavy equipment Journal of Construction Engineering and Management. 132: 723-732. DOI: 10.1061/(Asce)0733-9364(2006)132:7(723) |
0.357 |
|
2006 |
Otieno BS, Anderson-Cook CM. Measures of preferred direction for environmental and ecological circular data Environmental and Ecological Statistics. 13: 311-324. DOI: 10.1007/S10651-004-0014-5 |
0.746 |
|
2006 |
Liang L, Anderson-Cook CM, Robinson TJ. Fraction of design space plots for split-plot designs Quality and Reliability Engineering International. 22: 275-289. DOI: 10.1002/Qre.770 |
0.491 |
|
2005 |
Gantovnik VB, Gürdal Z, Watson LT, Anderson-Cook CM. Genetic algorithm for mixed integer nonlinear programming problems using separate constraint approximations Aiaa Journal. 43: 1844-1853. DOI: 10.2514/1.4191 |
0.397 |
|
2005 |
Anderson-Cook CM, Prewitt K. Some guidelines for using nonparametric methods for modeling data from response surface designs Journal of Modern Applied Statistical Methods. 4: 106-119. DOI: 10.22237/Jmasm/1114906320 |
0.427 |
|
2005 |
Otieno BS, Anderson-Cook CM. Effect of position of an outlier on the influence curve of the measures of preferred direction for circular data Journal of Modern Applied Statistical Methods. 4: 81-89. DOI: 10.22237/Jmasm/1114906140 |
0.743 |
|
2005 |
Park Y, Richardson DE, Montgomery DC, Ozol-Godfrey A, Borror CM, Anderson-Cook CM. Prediction variance properties of second-order designs for cuboidal regions Journal of Quality Technology. 37: 253-266. DOI: 10.1080/00224065.2005.11980329 |
0.766 |
|
2005 |
Ozol-Godfrey A, Anderson-Cook CM, Montgomery DC. Fraction of design space plots for examining model robustness Journal of Quality Technology. 37: 223-235. DOI: 10.1080/00224065.2005.11980323 |
0.766 |
|
2005 |
Goldfarb HB, Borror CM, Montgomery DC, Anderson-Cook CM. Using Genetic Algorithms to Generate Mixture-Process Experimental Designs Involving Control and Noise Variables Journal of Quality Technology. 37: 60-74. DOI: 10.1080/00224065.2005.11980301 |
0.429 |
|
2005 |
Park YJ, Richardson DE, Montgomery DC, Ozol-Godfrey A, Borror CM, Anderson-Cook CM. Prediction variance properties of second-order designs for cuboidal regions Journal of Quality Technology. 37: 253-266. |
0.723 |
|
2004 |
Goldfarb HB, Borror CM, Montgomery DC, Anderson-Cook CM. Evaluating Mixture-Process Designs with Control and Noise Variables Journal of Quality Technology. 36: 245-262. DOI: 10.1080/00224065.2004.11980272 |
0.396 |
|
2004 |
Goldfarb HB, Anderson-Cook CM, Borror CM, Montgomery DC. Fraction of design space plots for assessing mixture and mixture-process designs Journal of Quality Technology. 36: 169-179. DOI: 10.1080/00224065.2004.11980263 |
0.457 |
|
2004 |
Adams DB, Watson LT, Gürdal Z, Anderson-Cook CM. Genetic algorithm optimization and blending of composite laminates by locally reducing laminate thickness Advances in Engineering Software. 35: 35-43. DOI: 10.1016/J.Advengsoft.2003.09.001 |
0.371 |
|
2004 |
Sheldon KE, Anderson-Cook CM, O'Brien WF. Using computer modeling to optimize cost and maintain performance constraints for the production of aircraft turbine engines Quality and Reliability Engineering International. 20: 541-551. DOI: 10.1002/Qre.665 |
0.307 |
|
2004 |
Drain D, Carlyle WM, Montgomery DC, Borror C, Anderson-Cook C. A genetic algorithm hybrid for constructing optimal response surface designs Quality and Reliability Engineering International. 20: 637-650. DOI: 10.1002/Qre.573 |
0.394 |
|
2004 |
Anderson-Cook CM, Goldfarb HB, Borror CM, Montgomery DC, Canter KG, Twist JN. Mixture and mixture-process variable experiments for pharmaceutical applications Pharmaceutical Statistics. 3: 247-260. DOI: 10.1002/Pst.138 |
0.34 |
|
2004 |
Goldfarb HB, Anderson-Cook CM, Borror CM, Montgomery DC. Fraction of design space plots for assessing mixture and mixture-process designs Journal of Quality Technology. 36: 169-179. |
0.308 |
|
2003 |
Sango Otieno B, Anderson-Cook CM. A more efficient way of obtaining a unique median estimate for circular data Journal of Modern Applied Statistical Methods. 2: 168-176. DOI: 10.22237/Jmasm/1051748100 |
0.325 |
|
2003 |
Zahran A, Anderson-Cook CM, Myers RH, Smith EP. Modifying 22 factorial designs to accommodate a restricted design space Journal of Quality Technology. 35: 387-392. DOI: 10.1080/00224065.2003.11980236 |
0.763 |
|
2003 |
Zahran A, Anderson-Cook CM, Myers RH. Fraction of design space to assess prediction capability of response surface designs Journal of Quality Technology. 35: 377-386. DOI: 10.1080/00224065.2003.11980235 |
0.767 |
|
2003 |
Zahran A, Anderson-Cook CM. A general equation and optimal design for a 2-factor restricted region Statistics and Probability Letters. 64: 9-16. DOI: 10.1016/S0167-7152(03)00125-1 |
0.756 |
|
2002 |
Gantovnik VB, Anderson-Cook CM, Gürdal Z, Watson LT. A genetic algorithm with memory for mixed discrete-continuous design optimization 9th Aiaa/Issmo Symposium On Multidisciplinary Analysis and Optimization. DOI: 10.1016/S0045-7949(03)00253-0 |
0.384 |
|
2002 |
Kirkpatrick TJ, Weyers RE, Anderson-Cook CM, Sprinkel MM. Probabilistic model for the chloride-induced corrosion service life of bridge decks Cement and Concrete Research. 32: 1943-1960. DOI: 10.1016/S0008-8846(02)00905-5 |
0.3 |
|
2001 |
Anderson-Cook CM, Dorai-Raj S. An Active Learning In-Class Demonstration of Good Experimental Design Journal of Statistics Education. 9. DOI: 10.1080/10691898.2001.11910645 |
0.367 |
|
2001 |
Anderson-Cook CM. Understanding the influence of several factors on a cylindrical response Journal of Quality Technology. 33: 167-180. DOI: 10.1080/00224065.2001.11980065 |
0.389 |
|
2001 |
Anderson-Cook CM, Noble RB. An alternate model for cylindrical data Nonlinear Analysis, Theory, Methods and Applications. 47: 2011-2022. DOI: 10.1016/S0362-546X(01)00329-7 |
0.332 |
|
2000 |
Anderson-Cook CM. A second order model for cylindrical data Journal of Statistical Computation and Simulation. 66: 51-65. DOI: 10.1080/00949650008812011 |
0.332 |
|
2000 |
Anderson-Cook CM. An industrial example using one-way analysis of circular-linear data Computational Statistics and Data Analysis. 33: 45-57. DOI: 10.1016/S0167-9473(99)00036-5 |
0.322 |
|
1999 |
Anderson-Cook CM. A tutorial on one-way analysis of circular-linear data Journal of Quality Technology. 31: 109-119. DOI: 10.1080/00224065.1999.11979901 |
0.35 |
|
1998 |
Anderson-Cook CM. Designing a First Experiment: A Project for Design of Experiment Courses American Statistician. 52: 338-342. DOI: 10.1080/00031305.1998.10480592 |
0.433 |
|
1997 |
Anderson-Cook CM. An extension to modeling cylindrical variables Statistics and Probability Letters. 35: 215-223. DOI: 10.1016/S0167-7152(97)00016-3 |
0.352 |
|
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