Paul Allison is Professor of Sociology at the University of Pennsylvania. He is the author of Missing Data (Sage 2001), Multiple Regression: A Primer (Pine Forge 1999), Survival Analysis Using SAS: A Practical Guide (SAS Institute 1995), Event History Analysis (Sage 1984), several other books, and numerous articles on regression analysis, log-linear analysis, logit analysis, latent variable models, missing data, and inequality measures. A former Guggenheim Fellow, he is also on the editorial board of Sociological Methods and Research. In 2001 he received the Paul Lazarsfeld Memorial Award for Distinguished Contributions to Sociological Methodology.

Anthony Babinec is President of AB Analytics. For over two decades, Tony Babinec has specialized in the application of statistical and data mining methods to the solution of business problems. Tony has multiple degrees from the University of Chicago, where he studied Advanced Statistics and Survey Research. Before forming AB Analytics, Babinec was Director of Advanced Products Marketing at SPSS; he worked on the marketing of Clementine and introduced CHAID, neural nets and other advanced technologies to SPSS users. He has presented at the AMA's Applied Research Methods Conference and Advanced Research Techniques Forum, the Sawtooth Software Conference, Statistical Innovation's Statistical Modeling Week, and numerous professional meetings. He is on the Board of Directors of the Chicago Chapter of the American Statistical Association, where he has held various offices including President. He is on the Editorial Board of the Journal of Targeting, Measurement and Analysis for Marketing.

Prof. Nancy Barker is an instructor in the Department of Global Health at Emory University where she teaches biostatistics and epidemiology. She is a co-author of the ActivEpi Companion Text and A Pocket Guide to Epidemiology,. She has over 14 years of experience teaching short courses in epidemiology and biostatistics at Emory University and the Centers for Disease Control and Prevention.

Vance W. Berger is an Adjunct Professor at University of Maryland Baltimore County. He is the author of Selection Bias and Covariate Imbalances in Randomized Clinical Trials (John Wiley and Sons, 2005), and has written or co-written dozens of papers in peer reviewed journals in medicine and statistics. He has also taught in the past at Rutgers University and the Johns Hopkins University School of Public Health, reviews manuscripts for many of the top scholarly journals, has lectured all over the country on his research, and has served as an FDA reviewer for over four years.

Paul Black is a consultant with Neptune and Co. in Los Alamos, New Mexico. He has clients in both the private sector and in government, including regulatory agencies such as the US Environmental Protection Agency. His expertise includes the application of Bayesian statistical methods to environmental data and decision-making problems.

Dave Bock has taught statistics at Ithaca High School, Tompkins-Cortland Community College, Ithaca College, and Cornell University, where, as K-12 Education and Outreach Coordinator, he also leads AP Statistics workshops and other professional development workshops on pedagogy, curriculum, and mathematics for pre-service and current math teachers. Dave has won numerous teaching awards, including the MAA's Edyth May Sliffe Award for Distinguished High School Mathematics Teaching (twice), Cornell University's Outstanding Educator Award (three times), and has been a finalist for New York State Teacher of the Year. Dave has co-authored the AP Statistics textbook Stats: Modeling the World, two college statistics texts, and the Barron's review book How to Prepare for the AP Calculus Examination. He has been a Reader for the AP Statistics exam (and the AP Calculus exam), serves as a statistical consultant for the College Board, leads numerous AP Statistics workshops and AP Statistics summer institutes for teachers nationwide, and is a frequent presenter at state, regional, and national conferences.

William M. Bolstad is a Professor at the University of Waikato, New Zealand, Dept. of Statistics, and has 30 years of teaching experience. Dr. Bolstad is the author of Introduction to Bayesian Statistics, 2nd Edition (the course text), and has pioneered the use of Bayesian methods in teaching the first year statistics course.

Michael Borenstein is co-editor (with Larry V Hedges, Dr Julian P.T Higgins, and Hannah R. Rothstein) of the book Introduction to Meta-Analysis, (Wiley, 2009) and co-editor (with Hannah Rothstein and Alex Sutton) of the book Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments. As Director of Biostat, a company that develops statistical software, Dr. Borenstein is the primary developer of Power And Precision, a computer program for sample size calculation, and of Comprehensive Meta Analysis, a computer program for meta analysis and systematic reviews. He served as Director of Biostatistics at Long Island Jewish Medical Center (1982-2002) and as Associate Professor at Albert Einstein College of Medicine (1992-2002). Dr. Borenstein has served on a number of review groups and advisory panels for the National Institutes of Health, including SBIR review groups (1994-2002) and as a member of the NIMH Data Safety Monitoring Board (1997-2001). He is an active member of the statistical advisory groups of the Cochrane and Campbell Collaborations.

Peter Bruce is President of statistics.com. He is the developer of Resampling Stats software (originated by Julian Simon in the 1970's), and has taught resampling statistics at the University of Maryland and in a variety of short courses. He is the co-author of Data Mining for Business Intelligence (Wiley, 2007), as well as a number of journal articles.

Mark Chang has over 13 years of experience as a statistician in the field of clinical trials. In addition, he has over 4 years of teaching experience as assistant professor. He recently joined AMAG Pharmaceuticals as the executive director and leads the department of biostatistics and data management. Before he joined AMAG, Chang held various positions in Millennium Pharmaceuticals, including Director of biostatistics and Scientific Fellow. His involvement in drug development at Millennium Pharmaceuticals includes both strategic and methodological aspects. He is a co-founder of the International Society for Biopharmaceutical Statistics, an executive member of ASA Biopharmaceutical Section, and a member of Expert Panel for the Networks of Centres of Excellence (NCE) Canada. He is a co-chair of Biotechnology Industry Organization (BIO) Adaptive Design Working Group. Dr. Chang severs on the Editorial Board for the Open Public Health Journal and is an associate editor for the Journal of Biopharmaceutical Statistics with over 40 publications including three books on adaptive designs. He has been invited to serve as a co-chair, on the scientific advisory and organization committees for national and international professional/academic conferences on statistics and clinical trial designs.

Michael Chernick is the author of Bootstrap Methods: A Practitioner's Guide (Wiley, 1999), with the second edition title Bootstrap Methods: A Guide for Practitioners and Researchers (Wiley, 2007). He is also the coauthor of Introductory Biostatistics for the Health Sciences: Modern Methods including Bootstrap (Wiley, 2002). Currently Manager of Biostatistical Services at the Lankenau Institute for Medical Research, Dr. Chernick is a Fellow of the American Statistical Association and the author of more than 30 journal articles. He is the winner of the Wolfowitz Prize in 1983 and is a past President of the Southern California Chapter of the American Statistical Association. He has taught at California State University and the University of Southern California, has given several previous short courses on bootstrap methods and has also worked in the aerospace, medical device and pharmaceutical industries.

Peter Congdon is a Research Professor in Quantitative Geography and Health Statistics at Queen Mary University of London. He is the author of Bayesian Statistical Modeling, Applied Bayesian Modeling, and Bayesian Models for Categorical Data, all published by Wiley, as well as numerous articles in peer-reviewed journals. His research interests include statistical modeling of spatial variations in health and health services.

Kuber Deokar holds a Masters degree in Statistics from Pune University, India, where he also taught undergraduate statistics. Mr. Deokar holds the position of Instructional Operations Supervisor at statistics.com. He is responsible for coordination of statistics.com online courses, and ensures seamless interactions between the management team, course instructors, teaching assistants and students. He also serves as the senior teaching assistant and shares instructional responsibilities for several courses, and handles consultancy assignments, working from in our office in Pune, India.

Shailaja Deshmukh is Professor of Statistics at the University of Pune, India. Her areas of interest are inference in stochastic processes, applied probability, analysis of microarray data and actuarial statistics. Her book, Microarray Data: Statistical Analysis Using R, (jointly with Dr. Sudha Purohit) is published by Narosa. She is the coauthor (jointly with Dr. Sudha Purohit and Dr. Sharad Gore) of Statistics Using R and author of Introduction to Actuarial Statistics (pre-press). She has a number of research publications in various peer-reviewed journals.

Michelle Everson teaches and develops online courses in the Educational Psychology Dept. at the University of Minnesota. She has written in Teaching Statistics on the implementation of educational reform in the standard college introductory statistics course; her research is in the area of text comprehension.

William Fisher, Jr. holds doctorate and masters degrees from the University of Chicago, where he was a Spencer Foundation Dissertation Fellow. His previous positions include Chief Science Officer with Avatar International in Orlando, Florida, and Professor of Research at Louisiana State University Health Sciences Center in New Orleans. He serves on the editorial boards of Quality of Life Research and the Journal of Applied Measurement, reviews papers for a number of other journals, and lectures nationally and internationally on topics in instrument calibration, measurement theory and practice, and the history and philosophy of science. His most recent paper appears in Measurement (Elsevier). Over the last 25 years, he has contributed his measurement expertise to collaborations with colleagues across a number of areas in health care, education, business management, and economics.

Mark Fitzgerald is a consultant with Neptune and Company in Denver, CO. Prior to joining Neptune, he spent a few years each as a technical staff member at Los Alamos National Laboratory and as an assistant professor at the University of Colorado, Denver. His research interests are in Bayesian statistics, decision analysis, statistical physics, and simulation.

Barbara Fraumeni is Associate Dean of Research, Professor of Public Policy and Chair of the Ph.D. Program in Public Policy Muskie School of Public Service of the University of Southern Maine. She previously served as Chief Economist of the Bureau of Economic Analysis at the US Dept. of Commerce. She is a contributor to the book Beyond the Market: Designing Nonmarket Accounts for the United States.

Andrzej Galecki is a Research Professor in the Geriatrics Center/Institute of Gerontology at the Medical School and has a joint appointment as Associate Research Scientist in the Department of Biostatistics at the School of Public Health of the University of Michigan in Ann Arbor. His research interests lie in development and application of statistical methods for analyzing correlated and overdispersed data. He is co-author of the Linear Mixed Models: A Practical Guide using Statistical Software book by B. West et al.

Anil Gore is Vice President of Statistical Services at Vislation Inc, a subsidiary of CYTEL, a statistical software and services company based in Boston, MA. He co-ordinates training, analysis, consulting and research activities in the field of clinical trials. His current work involves modeling patient recruitment in clinical trials. He is co-author of the classic Statistical Analysis of Nonnormal Data, and has also written Numeracy for Everyone(forthcoming) and A Course in Mathematical and Statistical Ecology. Dr. Gore has a special interest in statistical ecology and is the author of several dozen articles in peer-previewed journals.

Huybert Groenendaal is a Partner at Vose Consulting. For over two decades, Vose Consulting has provided clients worldwide with the highest quality risk analysis techniques and methods. Dr. Groenendaal helps and consults clients in industry and government on projects that include financial investment evaluations, project risk analysis, forecasting, operations, transportation logistics, epidemiology and more. A list of past experience and clients of Vose Consulting can be found here. Dr. Groenendaal also organizes and teaches "Quantitative Risk Analysis", "Project Risk Analysis", and "Corporate Risk Analysis" courses and workshops worldwide and has taught on risk analysis in the executive MBA program of the University of Texas at Dallas.

Lutz Hamel teaches at the University of Rhode Island and was the founder of the machine learning and data mining group there. He is the author of Knowledge Discovery with Support Vector Machines (Wiley, 2009). Before becoming an academic, Dr. Hamel was Director of Software Development at Thinking Machine Corporation, and Vice President of R&D for Bluestreak, where he oversaw the development of advanced technologies for online ad delivery and optimization, and directed the building of a next generation data warehouse-driven system for campaign analysis and design tools.

James Hardin is a Research Associate Professor at the University of South Carolina. Co-author (with Joseph Hilbe) of Generalized Estimating Equations, Dr. Hardin is on the editorial board of The Stata Journal and is the developer of the Stata GEE command, and with Dr Hilbe is developer of the GLM command.

Robert Hayden has been teaching statistics since 1982, and is a recognized authority on the teaching of introductory statistics. He has published articles on this subject in The American Statistician, the MAA Notes series, and elsewhere. He has received a national award from high school statistics teachers for his online guidance to AP Statistics teachers, something he has been doing since 1996 on the AP Statistics listserv. Dr. Hayden has also had careers in mechanical engineering and mathematics education, with publications that have included high school mathematics textbooks, articles on the thermopysical properties of aerospace alloys, articles on training high school mathematics teachers to teach statistics, and more.

Jay Herson is currently serving on the adjunct faculty in Biostatistics at the Johns Hopkins Bloomberg School of Public Health. His previous positions included Senior Biostatistician at the University of Texas MD Anderson Cancer Center and as president of the contract research organization he founded known as Applied Logic Associates. Under his leadership ALA grew from a solo consultancy to a 50-person full-service CRO with global capabilities. Dr. Herson started the first Data Monitoring Committee (DMC) in the pharmaceutical industry and has Chaired or served on 25 DMCs. He is author of numerous papers on statistical methodology and authored the book Data and Safety Monitoring Committees in Clinical Trials, published by Chapman and Hall/CRC Press, March, 2009.

Joseph Hilbe is Emeritus Professor at the University of Hawaii and Solar System Ambassador with NASA's Jet Propulsion Laboratory at California Institute of Technology. Since 1992 Prof. Hilbe has served as an Adjunct Professor of Statistics at Arizona State University. Professor Hilbe is currently on the editorial boards of seven academic journals in statistics, and from 1997-2009 was Software Reviews Editor for The American Statistician. Professor Hilbe is an elected Fellow of both the American Statistical Association and Royal Statistical Society, and is an elected member (Fellow) of the International Statistical Institute. An author of over one hundred journal articles, and numerous published statistical procedures and book chapters, Dr. Hilbe is author of Logistic Regression Models (2009, Chapman & Hall/CRC) and Negative Binomial Regression (2007, Cambridge University Press), and, with James Hardin, is author of Generalized Estimating Equations (2003, Chapman & Hall/CRC) and Generalized Linear Models and Extensions (2001, 2007, Stata Press). He is also co-author of the forthcoming books, R for Stata Users (Springer, with R. Muenchen), and Quasi-Least Squares Regression (Chapman & Hall/CRC, with J. Shults).

Abhaya Indrayan is author of Medical Biostatistics (2nd ed., CRC Press), and the author of a book on medical research methods. Dr. Indrayan is Professor and Chair of the Department of Biostatistics and Medical Informatics at the College of Medical Sciences, University of Delhi, and frequently provides biostatistical consultation to the World Health Organization, the World Bank and UNAIDS.

Nitin Indurkhya is co-author of Text Mining, and Professor at the School of Computer Science and Engineering, University of New South Wales, Sydney, Australia. He is also the founder and president of Data-Miner Pty Ltd, an Australian company engaged in data-mining consulting and education. He has published extensively on data mining and has considerable experience with industrial data-mining applications in many countries such as Australia, Japan and the United States.

David G. Kleinbaum is internationally known for his textbooks in statistical and epidemiologic methods and as an outstanding teacher. He is the author of Epidemiologic Research- Principles and Quantitative Methods (Wiley, 1982), Applied Regression Analysis and Other Multivariable Methods, 3rd Edition (Duxbury, 1997), Logistic Regression- A Self-Learning Text, 2nd edition (Springer, 2002), and Survival Analysis- A Self Learning Text, 2nd edition (Springer, 2005). His recent "electronic" textbook ActivEpi and its accompanying ActivEpi Companion Text (Springer, 2003) serve as the texts for this course. He has also taught over 150 short courses over the past 30 years throughout the world.

Prof. Madhav Kulkarni is Head, Mathematics and Statistics Dept, B.Y.K. College of Commerce, Nashik, India. He is co-author of Common Statistical Tests, Introduction to Statistical Ecology, and Introduction to Discrete Probability and Probability Distributions as well as a number of research papers in various peer-reviewed journals. He is also a statistical consultant for industry and to biologists.

Robert LaBudde is president and founder of Least Cost Formulations, Ltd., a mathematical software development company specializing in optimization and process control software for manufacturing companies. He is the co-author with Dr. Michael Chernick of the forthcoming book An Introduction to Bootstrap Methods with Applications to R, and has served on the faculties of the University of Wisconsin, Massachusetts Institute of Technology, Old Dominion University and North Carolina State University. Dr. LaBudde is currently Adjunct Associate Professor of Statistics at Old Dominion University.

J. Michael Linacre is Research Director of Winsteps.com and formerly Director of the MESA Psychometric Laboratory at the University of Chicago. Dr. Linacre has taught the principles and practice of Rasch measurement for over twenty years, for much of that time in close collaboration with Benjamin D. Wright, for many years the leading proponent of Rasch methodology. Dr. Linacre is the developer of two leading Rasch software titles, Winsteps and Facets, and author of Many-Facet Rasch Measurement (MESA Press, 1994). He has been Editor of Rasch Measurement Transactions since 1989. His research interests include the measurement of health outcomes and authentic educational testing. In over 25 years of developing Rasch software, Dr. Linacre has probably analyzed more Rasch-related datasets, and a greater variety, than any other analyst.

Bryan Manly is a consultant with Western EcoSystem Technology, Inc. in Cheyenne, Wyoming. Before that, he was Chair of Statistics and Director of the Center for Applications of Statistics and Mathematics at the University of Otago, New Zealand. Manly is the author of Statistics for Environmental Science and Management, Randomization, Bootstrap and Monte Carlo Methods in Biology, The Statistics of Natural Selection, Multivariate Statistical Methods, Resource Selection by Animals, The Design and Analysis of Research Studies, and over 200 articles in refereed journals.

Brian Marx is Professor of Statistics at Louisiana State University, and has taught Categorical Data Analysis for over ten years. He is currently serving as Chair of the Statistical Modelling Society and is the Coordinating Editor of Statistical Modelling: An International Journal. Dr. Marx has numerous publications in peer reviewed journals.

Paul Murrell is Senior Lecturer in the Department of Statistics at the University of Auckland, New Zealand. Dr. Murrell has been a member of the core development team for R since 1999, with a focus on the graphics system in R. He is the past Chair of the Section for Statistical Graphics of the American Statistical Association. He has recently served as Editor-in-Chief of R News, the newsletter of the R project, and is an Associate Editor for Computational Statistics and The Journal of Statistical Software.

Patrick Onghena is Professor of Statistics at the Katholieke Universiteit Leuven in Belgium, where he teaches methodology and statistics courses to majors in educational sciences, and speech and hearing sciences. He coauthored the 4th edition of Randomization Tests (Chapman & Hall/CRC, 2007), several other books on methodology and statistics and some 100 papers in the scientific literature. He acts as associate editor of the Journal of Statistics Education and of Behavior Research Methods, and as the section editor of Intervention Studies / Observational Studies in the Encyclopedia of Statistics in Behavioral Science (Wiley, 2005). He is a member of the Belgian Statistical Society and the Belgian Federation of Psychologists, and an International Affiliate of the American Psychological Association and the American Educational Research Association.

Sharayu Paranjpe is a Principal Statistician at Vislation Inc., a subsidiary of CYTEL, a statistical software and services company based in Boston, MA. Currently she supervises the statistical analyses of about 25 statisticians who work on clinical trials that are conducted in different parts of the world by various multinational pharmaceutical companies. She has over 25 years teaching experience. She is author of ClinStat: Statistical Analysis of Clinical Trial Data(forthcoming), A Course in Mathematical and Statistical Ecology, and has also written or co-written dozens of articles in peer-previewed journals.

Iain Pardoe is an independent statistical consultant and also teaches mathematics and statistics at Thompson Rivers University, Selkirk College, and the International School of the Kootenays. He is a former Associate Professor of Decision Sciences at the University of Oregon Lundquist College of Business. He is the author of Applied Regression Modeling: A Business Approach (Wiley), and his research specialty is in the area of multivariate modeling. He has numerous journal publications (including a noted paper in the the Journal of the Royal Statistical Society on predicting Academy Award winners).

Catherine Plaisant is a Research Scientist at the Human-Computer Interaction Lab of the University of Maryland's Institute for Advanced Computer Studies. She is a co-author of the 5th ed. of Ben Shneiderman's Designing the User Interface, and of dozens of articles in refereed publications.

Sudha Purohit is visiting Lecturer in Statistics at the University of Pune and, before her retirement in 2000, was Head of the Department of Statistics at A. G. College, Pune, India. She is a co-author of three books, Life-Time Data: Statistical Models and Methods, Introduction to Biometry, and (with Dr. Shailaja Deshmukh) Microarray Data: Statistical Analysis Using R. She is a coauthor (jointly with Prof.Shailaja Deshmukh and Dr. Sharad Gore) of Statistics Using R. Her areas of interest are survival analysis, reliability, programming with R and analysis of microarray data. She has published a number of research papers in various peer-reviewed journals.

Dennis Roberts is Emeritus Professor at Penn State and has spent over 35 years teaching in the areas of statistics and measurement/assessment, including courses in basic and intermediate statistics, educational assessment and psychological testing. His professional career was spent (3 years) at The Ontario Institute for Studies in Education, (3 years) in Psychology at East Carolina University, and since 1973 (until retirement as Emeritus Professor) in the Educational Psychology program at Penn State University. Over the years, Dr. Roberts published dozens of empirical articles in journals, directed a Correspondence Course in Basic Statistics for 20 years and revised the study guide several times, revised his own introductory statistics book 3 times, and made numerous presentations at conferences of the American Educational Research Association and other professional societies.

Jim Rutledge is currently the President of Data Vision, a company that performs statistical consulting and training. Dr. Rutledge has over fifteen years of teaching and consulting experience. He specializes in teaching powerful statistical tools to non-statisticians; he has instructed over 1000 scientists, engineers, managers, and college students. Previously, he served as an Assistant Professor at the United States Air Force Academy and has extensive research and consulting experience in healthcare issues. Dr. Rutledge was recently invited by the National Academy of Sciences to give a presentation on Design of Experiments to Biomedical Engineering Materials and Applications members. Dr. Rutledge is an ASQ Certified Quality Engineer and served as President of the Colorado-Wyoming Chapter of the American Statistical Association.

Thomas P. Ryan is the author of Modern Engineering Statistics, Modern Experimental Design, Modern Regression Methods and Statistical Methods for Quality Improvement, all from Wiley, plus numerous papers in peer-reviewed journals. He is an elected Fellow of the American Statistical Association, American Society for Quality, and Royal Statistical Society, and has been listed in Marquis Who's Who in America. He served on the Editorial Review Board of the Journal of Quality Technology from 1990 through 2006 and was the Book Review Editor of that journal from 2003 through 2006.

Randall E. Schumacker is Professor in Educational Research at the University of Alabama. He is the co-author of A Beginner's Guide to Structural Equation Modeling (with Richard Lomax), Advanced Structural Equation Modeling: New Developments and Techniques (with George Marcoulides) and the co-editor (with George Marcolides) of Advanced Structural Equation Modeling: Issues and Techniques and Interaction and Nonlinear Effects in Structural Equation Modeling. Dr. Schumacker was the founder, editor (1994-1998), and is the current emeritus editor of Structural Equation Modeling: A Multidisciplinary Journal. He also founded the Structural Equation Modeling Special Interest Group at the American Educational Research Association.

Galit Shmueli is Associate Professor of Statistics in the department of Decision, Operations & Information Technologies at the Smith School of Business, University of Maryland, where she is also co-director of the eMarkets research lab. Dr. Shmueli's research has been published in the statistics, information systems, and marketing literature; she is a co-author of "Data Mining for Business Intelligence."

Peter Sprent is Emeritus Professor of Statistics at the University of Dundee, Scotland, and previously worked as a consultant statistician at a horticultural research station in England. He has 28 years teaching experience in Australia and the United Kingdom. He is a joint author of the course text and has written a number of other books on statistics and related topics ranging from popular accounts through textbooks to research monographs. He has published refereed papers in major statistical journals and has been an editor, associate editor, or member of the editorial panel of several journals. He is a fellow of the Royal Statistical Society, a member of the American Statistical Association, the International Statistical Institute and of the Biometric Society.

Prof. Mathew Strickland is Assistant Professor in the Department of Environmental and Occupational Health at Emory University. He has taught a variety of in-person and distance education courses on Epidemiologic Modeling, Fundamentals of Epidemiology, and Maternal/Child Health Epidemiology. He and David Kleinbaum have been teaching the survival analysis course at statistics.com since 2006.

Marietta Tretter is Professor of Information and Operations Management at the Mays Business School at Texas A&M. She is the author of the best selling book How to Use the Internet, and her work has appeared in journals such as Management Science, Operations Research, Math Programming, and the Annals of Statistics. She teaches time series analysis at Texas A&M, and her research interests are in GIS, data mining, computational finance, neural networks, and software engineering.

David Unwin , until his retirement in 2002, was Professor of Geography at Birkbeck College, University of London, where he retains an Emeritus Chair in the subject. He is also a Visiting Professor in the Department of Geomatic Engineering at University College, also in the University of London. His work using and developing spatial statistics in research stretches back some 40 years, and he has authored over a hundred academic papers in the field, together with a series of texts, of which the most recent are his Geographic Information Analysis' (with D O'Sullivan, 2003) and a series of edited collections at the interface between geography and computer science on Visualization in GIS (Hearnshaw and Unwin, 1994), Spatial Analytical Perspectives on GIS (Fischer, Scholten and Unwin, 1996) Virtual Reality in Geography (Fisher and Unwin, 2002) and, most recently representation issues in Re-presenting GIS (Fisher and Unwin, 2005). Having developed the world's first wholly internet-delivered Master's program in GIS in 1998, David Unwin has considerable experience of teaching and tutoring online.

John Verzani is member of the faculty at the College of Staten Island of the City University of New York, and the author of the course text Using R for Introductory Statistics. His research interests and publications are in the area of superprocesses.

Brady West is a Senior Statistician at the Center for Statistical Consultation and Research (CSCAR) at the University of Michigan. He is the lead author of Linear Mixed Models: A Practical Guide using Statistical Software. He specializes in applications of statistical software and analysis of survey data, and his primary research interests revolve around regression models for clustered and longitudinal data.

Dean Wichern is Professor Emeritus of Business Statistics, Texas A&M University. He is the coauthor of Business Forecasting and Applied Multivariate Statistical Analysis, and articles in the Journal of the American Statistical Association, Management Science, Journal of Finance, Biometrika, Technometrics and more.