There is no shortage of excitement in the Department of Statistical Science. Continued growth and expanded opportunities for graduate students and faculty emphasize the Department’s long commitment to being an academic leader in the theory and practice of statistical science. Achievements in scholarly research, funded grants and contracts, and excellence in the classroom continue to be the hallmark of our program. In addition, new graduate internship programs and revisions to the graduate and undergraduate curricula have contributed to the strength of the teaching and research programs of the Department. This 2004-2005 Annual Report highlights these accomplishments.

  

 

                         

 

                                                        Henry L. Gray              S. Lynne Stokes                      Jing Cao

  

 

  

 

 

Ian Harris serves as the Secretary-Treasurer of the North Texas Chapter of the American Statistical Association. He is an Associate Editor of The American Statistician and the department’s Director of Undergraduate Studies.

Sherry Wang collaborates with faculty in the SMU Physics Department on a new analysis strategy for high-energy physics particle detection.

Lynne Stokes is the department’s  Director of Graduate Studies. She is an Associate Editor of the Applications Section of the Journal of the American Statistical Association and of Survey Methodology. She chaired the Editor Search Committee for The American Statistician.

Wayne Woodward is a University Distinguished Professor and a member of the SMU Academy of Distinguished Teachers. He also was Chair of the Fisher Lecture Committee for the 2005 Joint Statistical Meetings.

Monnie McGee used support from SMU’s Teaching Technology Group and the Provost’s Office to create digital video class exercises and guest lectures for introductory statistics courses.

Tony Ng is the webmaster for Communications in Statistics.

Dick Gunst was the 2005 Chair of the American Statistical Association’s Committee on Fellows. He also was a member of the selection committee for the editor of the ASA’s Journal of Agricultural, Biological, and Environmental Statistics.

Bill Schucany served on the American Statistical Association’s Noether Awards Committee and as Past-Chair of the Nonparametrics Section. He is a Senior Editor for Communications in Statistics.

 

 

 Following the completion of her doctoral degree at the University of Missouri, Jing Cao joined the faculty this fall as an Assistant Professor. Jing has a Bachelor of Science degree in applied mathematics from Qingdao University and a Master of Science degree from Xiamen University, both in China. She also has a master’s degree in statistics from the University of Missouri. Her research interests are in Bayesian hierarchical modeling, with applications in survival analysis, wildlife science, ecology, and epidemiology. We welcome her talents, enthusiasm, and infectious smile!

 

 

 

 The Department of Statistical Science hosted the 2005 business meeting of the Southern Regional Council on Statistics. Organized by Wayne Woodward, our department’s representative to the Council, and with Administrative support from Sheila Crain, approximately 35 Heads of statistics departments or their representatives attended this business meeting. Departmental announcements and plans and mutual concerns about the field of statistics, its future, and its politics were discussed. The Council also discussed initial plans for the Annual Summer Research Conference.

 

 

 

 

The Conference of Texas Statisticians (COTS) was established in 1980 at the Annual American Statistical Association meetings that were held in Houston, Texas. Tom Bratcher, Bill Schucany and Jim Davenport organized the first Conference, which was held in Waco, TX in February, 1981. The conference has been held annually since that date and has been sponsored jointly by the Texas Chapters of the American Statistical Association. 

The 25^th Annual COTS meeting was held at SMU on April 1-2, 2005. Tony Ng, Bill Schucany, and Sherry Wang organized the program, while Ian Harris, with administrative support from Sheila Crain, handled the numerous logistical details. Invited speakers at the conference were Ian Harris (SMU), Simon Sheather (Texas A&M), and Peter Westfall (Texas Tech). As is customary, the Saturday program featured new colleagues from around the state: Patrick Carmack (University of Texas Southwestern Medical Center at Dallas), Pankaj Choudhary (University of Texas at Dallas), Hassan Elsalloukh (Sam Houston State), Marc Genton (Texas A&M), and Jeffrey Spence (University of Texas Southwestern Medical Center at Dallas).

 

 

 

S. Lynne Stokes received the 2005 Don Owen Award from the San Antonio Chapter of the American Statistical Association (ASA) at the banquet dinner of the Conference of Texas Statisticians. The North Texas Chapter of ASA and the Department of Statistical Science jointly nominated her for this prestigious award. The following excerpts from her nomination letter outline her many professional accomplishments:

 

Professor Stokes has had an exceptionally productive career in statistical science and is world-renowned for her work in sampling, census measurement errors, and statistical issues related to privacy and confidentiality. The American Statistical Association (ASA) has acknowledged her scholarly activities by electing her a Fellow of the Association. Over the last 25 years she has a continuous record of publications. In addition to her scholarly publications in prestigious statistics journals, she has contributed to a number of books published by commercial publishers and prestigious scholarly publishers such as the National Academy Press.

Both as an excellent teacher and as a consultant, Professor Stokes has transferred her knowledge of statistics in general and survey sampling in particular to much larger groups of users of statistical methods. Her work in statistical sampling, estimating and accounting for measurement errors in surveys, and preserving confidentiality in the use of survey results has led to long-time collaborations with the U.S. Census Bureau and her appointment as a Faculty Advisor at Los Alamos National Research Laboratories. Recently, she was invited to be a co-Principal Investigator on a major grant funded by the Department of Education to the Texas Instruments-sponsored SMU Institute of Reading Research, attesting to her abilities to transfer her knowledge and expertise of sampling to a new area of application, secondary education. 

She was elected Chair of the ASA’s Section on Survey Research Methods, and was selected to serve on the National Assessment of Educational Progress (NAEP) Design and Analysis Committee, the ASA Committee on Privacy and Confidentiality, and the National Academy Panel on Alternative Census Methodologies. All of these achievements are in addition to her service as editor of The American Statistician and as associate editor of the Journal of the American Statistical Association.

Among Lynne’s many other committee activities is her service on the ASA Board of Directors from 1991-1993. She was the ASA representative on the Census Advisory Committee of Professional Associations (1995-2000). Her long involvement with the Council of Chapters includes being Vice-Chair of District 4 (1993-1995) and its Secretary (1998). She was a member of the Joint Statistical Meetings Program Committee in 1995.

Her stature as a scholar in statistical science is internationally acknowledged, she has excelled as a teacher and consultant, and she has a lengthy and highly meritorious record of service to the profession.

  

 

 

Henry L. (Buddy) Gray retires from the SMU faculty at the end of December 2005 after over three decades of service to the university as a teacher, scholar, and administrator. He is known internationally for his research in time series, work that will continue even after he retires. Equally important are the generations of graduate students who were fortunate to learn from him in the courses he loved most to teach: mathematical statistics, time series, and stochastic processes. At the Dedman College faculty meeting on April 13, 2005, Dick Gunst read the following citation on behalf of the faculty of the Department of Statistical Science and Buddy’s many former students:

Henry Luther Gray, joined the Department of Statistics as the Charles F. Frensley Professor of Mathematical Sciences in 1973. He received Bachelor of Science and Master of Science degrees in mathematics from Texas Tech University in 1959 and 1961, respectively. He spent two years as an Instructor at Texas Tech and then pursued and received his Ph.D. in mathematics from the University of Texas at Austin in 1966. He was an Assistant Professor of Mathematics at Texas Tech during the 1965-1966 academic year while he completed his doctoral work.

From July 1966 to September 1967 Buddy Gray was a Senior Scientist at LTV Electrosystems in Greenville. He returned to Texas Tech as an Associate Professor in 1967, rising to the rank of Professor in 1970. He chaired the Department of Mathematics at Texas Tech from 1971 to 1973, prior to joining the faculty at SMU.

Decades of students have enjoyed not only Buddy’s teaching. They routinely cite his caring for them not only as students but also as individuals. His humor inside and outside of the classroom contributes to their admiration of him. All of us who know him share that admiration.

Buddy blended his mathematical interests in nonlinear and integral transforms into new methods for reducing bias in statistical estimators and for identifying the nature of the changes observed in data collected over time. The methods contained in his research monograph coauthored with Bill Schucany entitled The Generalized Jackknife Statistic became the benchmark against which bias reduction methods had to be compared.

Buddy’s work on jackknife statistics and on time series model identification, which developed into a long and productive collaboration with Wayne Woodward, has appeared in all the premier statistics journals, including the Journal of the Royal Statistical Society, the Journal of the American Statistical Association, the Journal of Time Series Analysis, the Annals of Mathematical Statistics, and many more. Far from confining his interests to theoretical aspects of statistics, Buddy has channeled his theoretical research results into applications of great importance. He has published applications of his work in journals ranging from the IEEE Transactions on Reliability to the Journal of Climate. He has also had an exceptionally productive and long-term collaboration with Professor Gene Herrin on nuclear test ban treaty verification. Buddy is the coauthor of 3 books, over 70 publications in refereed journals, and over 60 technical reports. His research efforts have also resulted in over $3 million in grants and contracts.

Buddy was the Associate Dean of Dedman College from 1980-1988 and Dean ad-interim from 1988-1989. He served as Dean of Dedman College and Vice Provost of SMU from 1989-1991. He was selected to be a Fellow of the American Statistical Association in 1982 and received the Don Owen Research Award from the San Antonio Chapter of the ASA in 2002. He was a recipient of the Distinguished Alumnus Award for Career Achievement from the College of Arts and Science of Texas Tech University in 1991. Finally, he received the Phi Beta Kappa Laurence Perrine Award for Outstanding Teaching and Scholarship from SMU in 2004.

 

  

 

 

Lynne Stokes collaborates with Dr. Patricia Mathis, Director of SMU’s Institute for Reading Research, on novel methods for teaching English to Spanish-speaking elementary and secondary school children. This five-year project, supported by graduate students from the Department of Statistical Science, is compiling a comprehensive database that will be used to assess the effects of various training programs in the Houston Independent School District.

Lynne and Ian Harris are collaborating on a National Assessment of Educational Progress (NAEP) Secondary Analysis grant entitled Use of Sampling Weights in Multilevel Models Fit to NAEP Data. The grant is funded by the Institute of Educational Sciences, the research arm of the U.S. Department of Education. The project is designed to develop methodology for estimating parameters of multilevel models from data that have been collected according to complex sampling designs. NAEP data are collected using a multistage design and require the fitting of hierarchical statistical models. This research will develop methods for the proper fitting of NAEP data.

Ian Harris also is conducting collaborative research activities with Dr. Mathes and Dr. Jill Alors of the Institute for Reading Research. Their US Department of Education grant, Project Maximize, is designed to determine whether reading methods taught to students with reading difficulties would be similarly beneficial to students who have mild or moderate mental retardation. The project is a 4-year randomized longitudinal study of approximately 150 children in the Fort Worth Independent School District, and will compare the effectiveness of different reading interventions on reading ability.

 Monnie McGee continues her research on the development of new approaches to the analysis of categorical time series data, working on detrending algorithms and with Ian Harris on stationarity concepts. She also embarked on collaborative research activities with colleagues from the University of Texas Health Science Center at Dallas on microarray analysis.

 

Hon Keung (Tony) Ng is developing small-sample methods for inverse sampling applications. He is deriving restricted maximum likelihood estimators and score-type test statistics for various epidemiological indices. He intends to apply these new methods on hematological, AIDS, and case-control studies for rare diseases. This work is funded by a grant from the Hong Kong Research Grants Council.

Xinlei (Sherry) Wang is developing statistical procedures to deal with the boundary effect in spatial auto-logistic models, and to test uniformity and curvilinear trend in nonparametric mixed effects models. Sherry is also collaborating with faculty in the SMU Physics Department on developing strategies to search for new particles in the field of high-energy physics. She continues her work on Bayesian treed methods, with applications to Census undercount estimation.

 

Wayne Woodward continues his collaboration with Buddy Gray on the modeling and analysis of time series with time-varying frequencies. He is also working with Bill Schucany and Abu Minhajuddin (Ph.D. 2003) on a bootstrap-based method for multivariate testing with focused critical regions.

 

 

 

 

 

James L. Hess (Ph.D. ‘77) was recently promoted to Vice President of Operations services at Leggett and Platt.

William C. Parr (Ph.D. ’78), Professor of Statistics at the University of Tennessee, was named a 2005 ASA Fellow.

Nalin D. Perera (Ph.D ‘93) is a Vice President for Consumer and Small Business Portfolio Management for Bank of America in Charlotte, NC.

Mani Lakshminarayanan (Ph.D. ’84) and Warren Bao (Ph.D. ’90) joined Rebecca Rosenstein (Ph.D. ’86) this year at Pfizer Development Operations in New York.

Lori Thombs (Ph.D. ’85) organized this year’s Gertrude Cox race at the JSM. She took over from Monnie McGee, who organized it the last few years. Ian Harris placed first in his age group (“over xx”) and 6^th overall.

Zhu Wang (Ph.D. ‘04) is now a post doctoral Fellow in the Center for Biostatistics at the University of Connecticut Health Center in Hartford, CT.

 

  

 

 

 

 

 

 

 

 

 

  

 

Center for Statistical Research in the Environmental, Earth, and Life Sciences

The Center for Statistical Research in the Environmental, Earth, and Life Sciences is the focal point for research interests that involve collaboration with colleagues in the biosciences, environmental sciences, and earth sciences. As Head of the Center, Bill Schucany has the primary responsibility for coordinating these research activities.

Under the auspices of the Center, research collaboration with the University of Texas Health Science Center at Dallas continues to grow. Major projects involving brain imaging, microarray modeling and analysis, and genetic modeling are underway. These projects involve both SMU faculty (Dick Gunst, Monnie McGee, Tony Ng, Bill Schucany, Sherry Wang) and a number of graduate students (see next page).

Additional collaborative activities are being developed with the Baylor Health Care System. Several projects have been initiated and grant proposals are being submitted. Bill Schucany, Tony Ng, and Sherry Wang are involved in these joint activities.

Center for Statistical Consulting and Research

N. Shirlene Pearson (SMU Ph.D. ‘79) has completed her sixth year as the Director of the Center for Statistical Consulting and Research. The Center for Statistical Consulting and Research (CSCR) enjoys a long history of providing high-quality consulting services on a fee-paying basis to regional corporate and academic communities.

Clients of CSCR receive expert statistical consulting services in data collection, statistical analysis, interpretation of the results, and presentation of conclusions using state-of-the-art statistical methods. A wide variety of statistical computing and graphics software is used to ensure the most effective analyses and presentation of results.

  

 

 

 

Collaborative research involving Department of Statistical Science graduate students and medical researchers at the University of Texas Southwestern Medical Center at Dallas (UTSW) are being developed through UTSW’s Center for Biostatistics and Clinical Science (CBCS). Two senior graduate students in our department are being funded as research assistants by the CBCS on microarray and genetic modeling projects. Bill Schucany and Monnie McGee are heavily involved in these research activities as our mentors for the graduate students. Milton Packer, Director of CBCS, and Joan Reisch, Associate Director (Ph.D. ‘74) are promoting this collaboration throughout the various departments at UTSW. Pat Carmack (Ph.D. ’04) and Jeff Spence (Ph.D. ’04) are UTSW mentors for our graduate students. This program is expected to expand to 3-6 graduate students in the next few years.

 

  

 

Short summaries of current faculty research interests can be found at the following web site

 http://www.smu.edu/statistics/TechReports/tech-rpts.htm .

Jing Cao, Ph.D. University of Missouri (Columbia), 2005.  Bayesian methods and applications, Generalized linear models, Spatial-temporal models, Model Selection .

Richard F. Gunst, Ph.D. Southern Methodist University, 1972. Fellow ASA. Regression analysis, linear models, statistical design and analysis of industrial experiments, spatio-temporal statistical modeling, chemical mass balance modeling, analysis of medical imaging data.

Ian R. Harris, Ph.D. University of Birmingham, U.K., 1989. Robust estimation, minimum divergence methods, nonparametric methods, variance components, mixed models.

Monnie McGee, Ph.D. Rice University, 1994. Gene Expression microarray background correction, normalization and summarization, imputation methods, categorical time series, spectral analysis of time series, Markov Chain Monte Carlo using mixture transition distributions.

Hon Keung (Tony) Ng, Ph.D. McMaster University, 2002. Statistical inference, reliability theory, nonparametric statistics, operations research, data analysis.

S. Lynne Stokes, Ph.D. University of North Carolina, 1976. Fellow ASA. Sampling, survey methods, interface of statistics and computer science, database performance, methods of disclosure limitation.

William R. Schucany, Ph.D. Southern Methodist University, 1970. Fellow ASA and Member ISI. Data analysis with applications in legal evidence, medical research, survey sampling of business records; nonparametric curve estimation, local linear and kernels, adaptive bandwidths; resampling methodology including jackknife, bootstrap, randomization tests, analysis of medical imaging data.

Xinlei (Sherry) Wang, Ph.D. University of Texas (Austin), 2002. Bayesian methods and applications, sampling, parameter estimation with order constraints, Generalized linear models, capture-recapture models, and nonparametric mixed effects models.

Wayne A. Woodward, Ph.D. Texas Tech University, 1974. Fellow ASA. Time series analysis, robust estimation, statistical analysis of data related to climate change, testing for trend, mixture models, directional multivariate testing.

 

  

 

 A list of faculty publications over the last three calendar years is provided below. More information on faculty research interests and publications can be obtained from individual faculty web sites, all of which can be accessed through the departmental web site, www.smu.edu/statistics.

2004

Gunst, R. F. (2004).  “Measurement Error Models in Chemical Mass Balance Analysis of Air Quality Data,” Atmospheric Environment, 38, 733-744 (with W. F. Christensen).

Gunst, R. F. (2004).  “Improved Agreement Between Talairach and MNI Coordinate Spaces in Deep Brain Regions,” Neuroimaging, 22, 367-371 (with P.S. Carmack, J. Spence, W. R. Schucany, W. A. Woodward and R. W. Haley).

Gunst, R. F. (2004).  “Estimating Pollution Source Contributions from Temporally Correlated Air Quality Measurements,” Communications in Statistics, 1039-1060 (with W. F. Christensen).

Harris, I. R. (2004).  “Simulating Multivariate Distributions with Specific Correlations”, Journal of Statistical Computation and Simulation, 74, 599-607 (with A. Minhajuddin and W.R. Schucany).

McGee, M. (2004).  “A Pilot Study of Mind-Body Changes in Adults with Asthma Who Use Mental Imagery”, Alternative Therapies in Health and Medicine, 10(4), 66-71 (with Epstein, Halper, Barrett, Birdsall, Phillips, Lowenstein).

McGee, M. (2004).  “The Level and Species of Plasma Non-Esterfield Fatty Acids are not Related to Elevated Plasma Apolipoprotien B Levels in Familial Combined Hyuperlipidemia”, Journal of Medicine, 32: 349-63 (with Shamir, Williams, Cornter, Hudgins, Levine, and Fisher).

Ng, H. K. T. (2004). “Goodness-of-Fit Tests Based on Spacings for Progressively Type-II Censored Data from a General Location-Scale Distribution, IEEE Transactions on Reliability, 53, 349-356 (with Balakrishnan and Kannan).

Ng, H. K. T. (2004). “Wilcoxon-type Rank-sum Precedence Tests”, Australia and New Zealand Journal of Statistics, 46, 631 – 648 (with Balakrishnan).

Ng, H. K. T. (2004). “Optimal Progressive Censoring Plan for The Weibull Distribution”, Technometrics, 46, 470 – 481 (with Chan and Balakrishnan.

Schucany, W. R. (2004). “Simulating Multivariate Distributions with Specific Correlations”, Journal of Statistical Computation and Simulation, 74, 599-607 (with Minhajuddin and Harris).

Schucany, W. R. (2004).  “Improved Agreement Between Talairach and MNI Coordinate Spaces in Deep Brain Regions,” NeuroImage, 22, 367-371 (with P.S. Carmack, R.F. Gunst, J. Spence, W. A. Woodward and R. W. Haley).

 

Schucany, W.R. (2004). "Kernel Smoothers: An Overview of Curve Estimators,"

Statistical Science, 19, 663-675.

 

Schucany, W.R. (2004). “Robust and Efficient Estimation for the Generalized Pareto Distribution", Extremes, 7 (2004), 237-251. (with S.F. Juarez)

 Stokes, Lynne (2004).  “Disclosure Risk vs. Data Utility: The R-U Confidentiality Map as Applied to Topcoding, Chance 17, 16-20, (with Duncan).

Stokes, Lynne (2004).  “Using Spreadsheet Solvers in Sample Design”, Computational Statistics and Data Analysis 44, 527-546 (with Plummer).

Woodward, W.A. (2004).  “Improved Agreement Between Talairach and MNI Coordinate Spaces in Deep Brain Regions,” Neuroimaging, 22, 367-371 (with P.S. Carmack, J. Spence, R.F. Gunst, W. R. Schucany, and R. W. Haley).

2003

Bhat, U. N. (2003).  "Parameter Estimation in M/G/1 and GI/M/1 Queues Using Queue Length Data",  Stochastic Point Processes (Eds. S. K. Shrinivasan and A. Vijayakumar), Narosa Publ. New Delhi, 96-107.

Gray, H. L. (2003). "Approximation of Tail Probabilities Using the G-Transform," Communications In Statistics-Simulation and Computation, 33, 1-17 (with McWilliams and Balusek).

Gunst, R. F. (2003).  Statistical Design and Analysis of Experiments, Second Edition. York: John Wiley and Sons, Inc. (with J. L. Hess and R. L. Mason)

Gunst, R. F. (2003).  “Identification of Model Components for a Class of Continuous Spatiotemporal Models,” Journal of Agricultural, Biological and Environmental Statistics, 8, 105-121. (with M.I. Hartfield).

Gunst, R. F.  (2003).  “Evaluation of the Effects of Air Conditioning Operation and Associated Environmental Conditions on Vehicle Emissions and Fuel Economy,” Society of Automotive Engineers, SAE Technical Paper Series No. 2003-01-2247, 1-16. (with J.S. Welstand, H.H. Haskew, and O.M. Bevilacqua)

Gunst, R. F.  (2003).  "One Way to Moderate Ceiling Effects," Quality Progress, 36, 84-86. (with T.E. Barry)

Ng, H. K. T.  (2003).  "Point and interval Estimation for Gaussian Distribution, Based on Progressively Type-II Censored Samples, IEEE Transactions on Reliability, 52, 90-95 (with Balakrishnan, Kannan and Lin).

Ng, H. K. T.  (2003).   " Modified Moment Estimation for the Two-parameter Birnbaum-Saunders Distribution", Computational Statistics and Data Analysis, 43, 283-298 (with Kundu and Balakrishnan).

Stokes, L. S. (2003), “Using Auxiliary Information for Improving Estimation in the Number of Species Problem,” Statistica Sinica 13, 655-671.

Stokes, Lynne (2003) “Interviewer Effects,” in Encyclopedia of Research Methods for the Social Sciences, M. Lewis-Beck, A. Brayman and T.F. Liao, Editors, Sage Publications.

Woodward, W. A. (2003),  "Testing for Outliers from a Mixture Distribution when Some Data are Missing", Computational Statistics and Data Analysis, 44, 193-210 (with S. R. Sain).

 

2002

Bhat, U. N. (2002), "Maximum Likelihood Estimation in Queueing Systems," Advances on Methodological and Applied Aspects of Probability and Statistics  ( Ed. N.Balakrishnan), 13-29. New York: Francis and Taylor (with I.V. Basawa).

Bhat, U.N. (2002). Elements of Applied Stochastic Processes, Third Edition. New York: John Wiley and Sons, Inc. (with G.K. Miller).

Bhat, U. N. (2002).  "Estimation of the coefficient of variation for unobservable service times in M/G/! queue", Journal of Math. Sci., Vol. 1 (with G. K. Miller).

Gray, H.L. (2002).  "Testing for Multivariate Outliers in the Presence of Missing Data," Pure and Applied Geophysics, 159, 889-903. (with S.R. Sain, W.A. Woodward, M.D. Fisk, and B. Zhao)

Gunst, R. F.  (2002).  "Identification of Model Component for a Class of Continuous Spatiotemporal Models," Journal of Agricultural, Biological and Environmental Statistics, 8, 105-121. (with M. I. Hartfield).

Gunst, R. F.  (2002).  "Find Confidence in Statistical Significance," Quality Progress, 35, 107-108.

Ng, N.K.T. (2002).  "A Test of Exponentiality Based on Spacings for Progressively Type -II Censored Data.” Goodness-of-Fit Tests and Model Validity (C. Huber-Carol et al., eds.), 89-110. (with N. Balakrishnan, N. and N. Kannan)

Ng, H.K.T. (2002).  "Wilcoxon-type Rank-sum Precedence Tests: Large-sample Approximation and Evaluation,” Applied Stochastic Models in Business and Industry, 18, 271-286. (with N. Balakrishnan)

Ng, H.K.T. (2002).  "Estimation of Parameters from Progressively Censored Data Using EM Algorithm,” Computational Statistics and Data Analysis, 39, 371-386. (with N. Balakrishnan, N. Kannan, and C.T. Lin)

Schucany, W. R.  (2002). "Combining Population Density Estimates in Line Transect Sampling using the Kernel Method," Journal of Agricultural, Biological and Environmental Statistics, 7, 233-242. (with P. Gerard)

Schucany, W. R.  (2002). "The Mixture Approach for Simulating Bivariate Distributions with Specified Correlations", The American Statistician, 56, 48-54. (with J.R. Michael)

Woodward, W. A. (2002).  "Testing for Multivariate Outliers in the Presence of Missing Data," Pure and Applied Geophysics, 159, 889-903. (with S.R. Sain, H.L. Gray, M.D. Fisk, and B. Zhao)

 

  

SMU-TR-335	X. Wang, L. Stokes	Moments of Bivariate Order Statistics for the Standard Normal Distribution
SMU-TR-334	X. Wang, L. Stokes, J. Lim	Concomitant of Multivariate Order Statistics with Application to Judgement Post-Stratification
SMU-TR-333	A. Minhajuddin, W. Frawley, W. Schucany, W. Woodward	Bootstrap Tests for Multivariate Directional Alternative Hypothesis
SMU-TR-332	M. McGee, N. Bergasa	Inputting Missing Clinical Data in Pilot Studies
SMU-TR-331	L. Tang, W. Woodward, W. Schucany	Undercoverage of Wavelet-Based Resampling Confidence Intervals
SMU-TR-330	I. Harris, B. Burch	Restricted maximum likelihood estimators as Bayes estimators in a mixed linear model with two variance components
SMU-TR-329	I. Harris. B. Burch	Measuring relative sources of variation without using variance
SMU-TR-328	A. Jia, W. Schucany	Recursive Partitioning for Kernel Smoothers: A Tree-based Approach for Estimating Variable Bandwidths in Local Linear Regression
SMU-TR-327	P. Gerard, W. Schucany	An Enhanced Sign Test for Dependent Binary Data with Small Numbers of Clusters)
SMU-TR-326	S. Shen, I. R. Harris	The Minimum L2 Distance Estimator for Poisson Mixture Models,
SMU-TR-325	W. Schucany, H. K. Ng	The Folly of Formal Preliminary Goodness-of-Fit Tests for Normality

 

SMU-TR-324	Spence, Carmack, Gunst, Schucany, Woodward, Haley	Increasing the Power of Group Comparisons in SPECT Brain Imaging through Spatial Modeling of Intervoxel  Correlations)
SMU-TR-323	X. Wang, J. Lim, L. Stokes	Forming Post-Strata Via Bayesian Treed Capture-Recapture Models
SMU-TR-322	X. Wang, M. Chen	Approximate Predictive Densities and Fully Bayes Variable Section in Generalized Linear Models
SMU-TR-321	X. Wang , E. George	A Hierarchical Bayes Approach to Variable Selection for Generalized Linear Models
SMU-TR-320	M. McGee	Tests for Multiple Peaks in the Spectra of Categorical Time Series
SMU-TR-319	I. Harris, M. McGee	A Weak Form of Stationarity for Categorical Time Series
SMU-TR-318	Spence,  Carmack, Woodward, Gunst, Schucany, Haley	Scaling Global Counts to a Regional White Matter Reference Volume for Brain Perfusion SPECT
SMU-TR-317	L. Liu, H. Gray, W.Woodward	On the Analysis of Linear and Quadratic Chirp Processes using Time Deformation
SMU-TR-316	W. Schucany	Kernel Smoothers: An Overview of Curve Estimators Suitable for the First Graduate Course in Nonparametric Statistics

 

 

 

Jing Cao, “Bias analysis of Bayesian estimation of survival rate with double interval censored and left truncated data,” 2004 Joint Statistical Meetings, San Francisco, CA.

Jing Cao, “Bayesian Hierarchical Models in Nest Survival Studies,” University of Missouri at Columbia, 2004.

Henry Gray, “The Analysis of Time Varying Frequencies Through Time Transformation,” NSF/NBER Time Series Conference. SMU, September 2004. (with Woodward)

Henry Gray, “Identifying the ‘DNA’ of a Time Series” SMU Collegium, March 2004. (with Woodward)

Richard Gunst, “Statistical Challenges in the Analysis of Brain Imaging Data,” Invited Paper, Conference of Texas Statisticians, Stephen F. Austin State University, March 2004.

Richard Gunst, “Accommodating Spatial Correlations in Brain Imaging,” Invited Paper, 2004 Joint Statistical Meetings, San Francisco, CA (with J. Spence, P. Carmack, W. R. Schucany, and W. A. Woodward).

N. K. Tong Ng, “Precedence Test and Some Nonparametric Alternatives”, at the International Indian Statistical Association, Fifth Biennial International Conference, May 16, 2004, University of Georgia, Athens, Georgia, USA.

N. K. Tony Ng, “Wilcoxon-type Rank-sum Precedence Tests for Progressively Censored Data”, at the International Conference on Distribution Theory, Order Statistics and Inference, June 17, 2004. Santander, Spain. (Invited)

N. K. Tony Ng, “Up-and-down designs for phase I trials; an evaluation of different designs and estimators”, at the International Conference on Statistics in Health Sciences, June 23, 2004 Nantes, France.

N. K. Tony Ng, “Testing the Equality of Two Poisson Means Using the Rate Ratio”, at 2004 Joint Statistical Meetings, August 11, 2004, Toronto, Canada.

N. K. Tony Ng, “Wilcoxon-type Rank-sum Precedence Tests for Progressively Censored Data”, at the Fourth International Summer Conference at McMaster University on Probability and Statistics, August 12, 2004, McMaster University, Hamilton, Canada. (Invited)

N. K. Tony Ng, “Optimal Sample Size Allocation for Multi-Stress Tests using Extreme Value Regression”, at the Department Seminars, December 23, 2004, Department of Mathematics, Hong Kong Baptist University, Hong Kong, China.

William Schucany, “Treed Kernel Smoothers: Recursive Partitioning of Bandwidths for Local Linear Regression,” North Texas Chapter of the American Statistical Association, September 2004.

Lynne Stokes, “Data Swapping: Disclosure Risk vs. Data Utility,” Joint Statistical Meetings, Toronto, Canada, August 2004.

Sherry Wang, “Bayesian Treed Capture-Recapture Models, SMU Dept of Statistical Science Seminar, November 2004.

Sherry Wang, “Adaptive Fully Bayes Criteria for Generalized Linear Models”, Conference of Texas Statisticians, April 2004.

Wayne Woodward, “The Analysis of Non-Stationary Time Series with Time Varying Frequencies using Time Deformation,” Department of Mathematics, University of El Paso, January 2004.

Wayne Woodward, “Nonstationary Time Series Analysis by Time Deformation,” Council of Texas Statisticians (COTS) 2004 Annual Meeting, Stephen F. Austin University, March 2004.

Wayne Woodward, “Nonstationary Time Series Analysis by Time Deformation,” Visiting Professor Series in Biostatistics at the University of Texas Southwestern Medical Center, April 2004.

Wayne Woodward, “Nonstationary Time Series Analysis by Time Deformation,” Department of Mathematics and Statistics, Mississippi State University, September 2004.

 

 

 

                                                                       Fall 2004

Date	Speaker	Title
August 27	Richard Gunst, SMU	Statistical Challenges in the Analysis of SPECT Brain Imaging Data
Sept 3	Liansheng Tang, SMU	Dissertation Prospectus
Sept 17	NBER/NSF Time Series Conference	http://smu.edu/statistics/nber
Sept 23	William Schucany, SMU