Informal experimentation is as old as humankind. Statisticians became seriously involved in the conduct of experiments during the early 1900s when they devised methods for the design of efficient field trials to improve agricultural yields. During the 1900s statistical methodology was developed for many complicated sampling settings and a wide variety of design objectives

Santner, Thomas J.

English

University of Dayton

University of DaytoneCommonsKenneth C. Schraut Memorial Lectures Math Events2009These Aren't Your Mothers and FathersExperiments (Abstract)Thomas J. SantnerFollow this and additional works at: http://ecommons.udayton.edu/mth_kcsPart of the Mathematics CommonsThis Article is brought to you for free and open access by the Math Events at eCommons. It has been accepted for inclusion in Kenneth C. SchrautMemorial Lectures by an authorized administrator of eCommons. For more information, please contact frice1@udayton.edu,mschlangen1@udayton.edu.eCommons CitationSantner, Thomas J., "These Aren't Your Mothers and Fathers Experiments (Abstract)" (2009). Kenneth C. Schraut Memorial Lectures.Paper 14.http://ecommons.udayton.edu/mth_kcs/14The Department of Mathematics at the University of Dayton presentsThe 10th Annual Kenneth C. Schraut Memorial LectureSaturday, November 7, 2009These Aren't Your Mothersand Fathers ExperimentsDr. Thomas J. SantnerThe Ohio State University  Abstract:  Informal experimentation is as old as humankind. Statisticians became seriously involved inthe conduct of experiments during the early 1900s when they devised methods for the design of efficientfield trials to improve agricultural yields. During the 1900s statistical methodology was developed for manycomplicated sampling settings and a wide variety of design objectives. For example, Taguchi emphasizeddesigning experiments for the goal of creating "robust product designs," i.e., products whose performancewas as impervious as possible to variability in the constituent components of the final product. Within the last15 years experimentation has been heavily influenced by high speed computing and developments innumerical algorithms. The starting place for this computational influence is the work of appliedmathematicians who have created sophisticated theoretical models of the input-output relationships of manyengineering and biological systems. The implementations of such models in computer codes are routinelyused as surrogates (or adjuncts) for physical experiments. This use of a computer code is often termed a"computer experiment." Automobiles, airplanes, and prosthetic devices are but a few of the many productswhose development relies heavily on computer experiments. This talk will describe the breadth ofapplications of computer experiments and sketch the framework used to think about the analysis of data fromthem. We will also give some (unsolicited) advice about graduate school and life beyond the undergraduatedegree.About the speaker:Professor Santner, who received his B.S. (1969) from the University of Dayton and his M.S. (1971) andPh.D. (1973) from Purdue University is a Professor in the Department of Statistics at The Ohio StateUniversity. Professor Santner was a member of the faculty at Cornell University from 1973-1989 beforejoining the faculty at the Ohio State University in 1990.  He served as chair of the Department of Statisticsduring 1992-2000 and he is also a former Director of the Department's Statistical Consulting Service.  Hecurrently serves as chair of the Department of Biostatistics in the Ohio State University College of PublicHealth.  He has held various visiting positions including a position as a Fulbright Scholar at LudwigMaximilians Universität in Munich, Germany, and visiting positions at Cornell University and Duke University.Professor Santner's research interests are in the design of experiments and the analysis of discrete data. Heis the co-author of three books, The Statistical Analysis of Discrete Data (with Diane Duffy), Springer-Verlag,Inc. (1989), Design and Analysis of Experiments for Statistical Selection, Screening, and MultipleComparisons (with R. E. Bechhofer and D. M. Goldsman), J. Wiley and Sons (1995), and The Design andAnalysis of Computer Experiments (with Brian Williams and Bill Notz), Springer-Verlag, Inc. (2003).2009 Conference PageMath Events Page

These Aren\u27t Your Mothers and Fathers Experiments (Abstract)

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These Aren\u27t Your Mothers and Fathers Experiments (Abstract)

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