Education
Ph.D. in Statistics (August, 1999)
The Pennsylvania State University, State College, PA, USA
- Dissertation Topic: Adaptive Sampling
- Advisor: Steven K. Thompson, Ph.D.
B.A. in Mathematical Sciences/Statistics (May, 1993)
- Rice University, Houston, TX, USA
Employment history
Associate Professor (Dec., 2009 to present and employed from Oct., 2003)
- National Institute of Development Administration, BKK, TH
Statistical Analyst Consultant (Jan., 2002 to Sept., 2003)
- Scorex an Experian Company, CA, USA
Project Manager (Dec., 2000 to Jan., 2002)
- AnaBus Inc., PA, USA
Statistical Consultant (Aug., 1999 to Dec., 2000)
- PricewaterhouseCoopers, DC, USA
Instructor, Research Assistant, and Teaching Assistant (Aug., 1993 to Aug., 1999)
- The Pennsylvania State University, PA, USA
Consulying Experience
Representative Companies
- General Electric, JCPenney, United States Postal Services, …
Strategic Consulting – Sample Projects
- Data Quality Studies – Investigated client data for its accuracy and usefulness
- Fraud Detection Models – Built statistical models in order to rank individuals
applying for credit in terms of likelihood to commit fraud
- Optimal Sample Allocation – Cut sampling costs without decreasing precision
- Retail Equipment Comparison – Comparison of retail checkout counter equipment and design in terms of efficiency
- E-Commerce (Return on Investment) – Compared different on-line advertising tools in terms of revenue generation
- Targeted Marketing – Created a target list of individuals, who were expected to be the most profitable to acquire as future clients from a larger list of potential clients
- Strategic Consulting – Duties
- Design: Discussed and helped put together the design of the project
- Analysis: Multiple linear, logistic, and piecewise regression, decision tree, ANOVA,ANCOVA, simulation, Neyman allocation, post stratification, …
- Presentation: Helped make the presentations and presented to senior manage-ment
Process Improvement
- Benchmark model is a model created in order to obtain an estimate of expected performance should a final model be developed. Improved and coded the sam-pling, variable selection, and performance chart steps used in the benchmark model process
- Developed programs that create hundreds of statistical reports in HTML to be viewed in Internet Explorer with hyperlinks. Saved numerous labor hours while producing more elegant reports for our clients
- Developed Excel macros written in visual basic. Used macros to facilitate the importing and formatting of multiple text _les into excel spreadsheets. Also used macros to create over a hundred formatted spreadsheets for each project with hyperlinks
Selected Courses Taught
National Institute of Development Administration
- Data Mining
- Quantitative Analysis for Business Decisions
- Quantitative Research Methodology I
- Quantitative Research Methodology II
- Regression
- Sampling Techniques
- Sampling Theory
- Statistical Methods for Population and Development Research I
- Statistical Quality Control
- Theory of Multivariate Statistics
Dhurakij Pundit University International College
- Advanced Statistics and Business Modeling
Thammasat University, Chulalangkorn University, and NIDA
- Part of an intensive course on statistics for the JDBA
The Pennsylvania State University
- Elementary Statistics
Research Grants
Head of various research grants at NIDA, titled:
- An in-depth look at validating logistic regression models in relation to credit scoring
- Ratio estimators in adaptive cluster sampling
- The enhancement of teaching materials for applied statistics courses by combin-ing random number generation and portable document format _les via LATEX
Selected Publications
- Gattone, S. A., Mohamed, E., Dryver, A. L., and Mnnich, R. T. (2016). Adaptive cluster sampling for negatively correlated data. Environmetrics, 27,(2) E103-E113.
- Aumeboonsuke, V., and Dryver, A. L. (2014). The importance of using a test of weak-form market e_ciency that does not require investigating the data _rst. International Review of Economics & Finance, 33, 350-357.
- Boonsathorn, W., Charoen, D., and Dryver, A. L. (2014). Leveraging Random Number Generation for Mastery of Learning in Teaching Quantitative Research Courses via an E-Learning Method. E-Learning and Digital Media, 11(3), 231-249.
- Dryver, A.L., Netharn, Urairat, and Smith, David R. (2012). Partial systematic adaptive cluster sampling. Environmetrics 23(4), 306-316
- Dryver, A.L., and Nathaphan, S. (2012). A new perspective on daily value at risk estimates. International Journal of Economics and Finance 4(4), 114-120
- Chao, C.T., Dryver, A.L., and Chiang, T.Z. (2011). Leveraging the Rao-Blackwell theorem to improve ratio estimators in adaptive cluster sampling. Environmental and Ecological Statistics 18(1), 543-568
- Dryver, A.L. (2011). Focusing on the lower scoring data in order to improve the credit scoring model selection. Advances and Applications in Statistics 20(1), 25-41
- Dryver, A.L. (2009). The enhancement of teaching materials for applied statistics courses by combining random number generation and portable document format files via LATEX. Journal of Statistical Software 31(Code Snippet 3), 1-9
- Dryver, A.L. and Sukkasem, J. (2009). Validating risk models with a focus on credit scoring models. Journal of Statistical Computation and Simulation 79(2), 181-193
- Dryver A.L. (2008) An introduction to business statistics. LearnViaWeb.com
- Dryver A.L. (2008) Adaptive sampling. In Encyclopedia of survey research methods. (Vol. 1, pp. 4-6). Thousand Oaks, CA: Sage Publications, Inc.
- Dryver, A.L. and Chao, C.T. (2007). Ratio estimators in adaptive cluster sampling.Environmetrics 18(6), 607-620
- Dryver, A.L. and Thompson, S.K. (2007). Adaptive sampling without replacement of clusters. Statistical Methodology 4, 35-43
- Dryver, A.L. and Thompson, S.K. (2005). Improved unbiased estimators in adaptive cluster sampling. Journal of Royal Statistical Society B 67(1), 157-166
- Dryver, A.L. (2003). Performance of adaptive cluster sampling estimators
Reserach Awards
Nominated for Rachapruek Excellent Research Award at NIDA
Papers awarded for outstanding research by the NIDA:
- Improved unbiased estimators in adaptive cluster sampling
- Ratio estimators in adaptive cluster sampling
- Validating Risk Models With a Focus on Credit Scoring Models
Invited Presentations
A new way to leverage the Kolmogorov-Smirnov test statistic for comparing credit scoring models
- Strategies and Risk Analysis International Conference, 2009
- ISTAR and CARISMA, Bangkok, Thailand
Improving ratio estimators in adaptive cluster sampling using the Rao-Blackwell theorem
- Survey Research Methodology Conference, 2006
- Center for Survey Research, Academia Sinica, Taiwan
- Support provided by the Center for Survey Research Taipei, Taiwan.
Data quality and preparation for model building
- National Conference of Applied Statistics, 2006
- National Institute of Development Administration, Thailand
Building a fraud detection model
- Applied Statistics Seminar: Data Mining and its Applications, 2005
- National Institute of Development Administration, Thailand
A more e_cient estimator in adaptive cluster sampling than the standard Hansen-Hurwitz type estimator
- Future of Statistical Theory, Practice and Education, 2004
- Indian School of Business, India
Computer Skills
Environments\
- Linux, Mainframe, Unix, and Windows
Statistical Software and Programming Languages
- Basic, C++, Excel VBA, Fortran, HTML, JAVA, JCL, JSP, LATEX, LINDO,MATLAB, Minitab, PAJEK, PASCAL, R, SAS, SIMAN, S-Plus, and SPSS REFERENCES: Available upon request
Publications
- 2550 Ratio estimators in adaptive cluster sampling
- 2550 เอกสารประกอบการสอน วิชา BA 503 “Quantitative Analysis for Business Decisions”
- 2550 ตำราเรื่อง An Introduction to Business Statistics ประกอบการสอน วิชา BA 503 “Quantitative Analysis for Business Decisions”
- 2551 The Enhancement of Teaching Materials for Applied Statistics Courses by Combining Random Number Generation and Portable Document Format Files via LATEX, คณะบริหารธุรกิจ นิด้า
- 2553 Leveraging the Rao-Blackwell theorem to improve ratio estimators in adaptive cluster sampling, คณะบริหารธุรกิจ สถาบันบัณฑิตพัฒนบริหารศาสตร์
- 2553 การใช้ Random Number Generation เพื่อส่งเสริมกรเรียนรู้แบบ e-Learning โดยหลักการ Mastery of Learning ในการสอนการวิจัยเชิงปริมาณ (สมบูรณ์แบบ), Leveraging Random Number Generation for Mastery of Learning on Teaching Quantitative Research Courses via e-Learning Method , สถาบันบัณฑิตพัฒนบริหารศาสตร์
- 2554 -, Focusing on the lower scoring data in order to improve credit scoring model selection. , คณะบริหารธุรกิจ
- 2555 A New Perspective on Daily Value at Risk Estimates, คณะบริหารธุรกิจ
- 2555 Partial Systematic Adaptive Cluster Sampling, คณะบริหารธุรกิจ
- 2555 Developing Credit Scoring Models When Small Sizes Are Available, คณะบริหารธุรกิจ
- 2556 PRESENTING CONDITIONAL PROBABILITY VERSUS JOINT PROBABILITY FOR UNDERSTANDING HUMAN RESOURCE SURVEY FINDINGS, คณะบริหารธุรกิจ
- 2557 The Importance of Understanding the Applied Aspects of a Field Even When Doing Theoretical Research, คณะบริหารธุรกิจ
- 2557 The dangers of using daily value at risk estimates for understanding risk in an inefficient market., คณะบริหารธุรกิจ
- 2559 Adaptive cluster sampling for negatively correlated data, คณะบริหารธุรกิจ
- 2559 The Importance of Understanding Fund Fees for Determining Optimal Allocation of Savings for Retirement, คณะบริหารธุรกิจ
Articles
- 2553, Leveraging the Rao-Blackwell theorem to improve ratio estimators in adaptive cluster sampling, Environmental and Ecological Statistics
- 2554, Focusing on the lower scoring data in order to improve credit scoring model selection, Advances and Applications in Statistics
- 2555, A New Perspective on Daily Value at Risk Estimates, International Journal of Economics and Finance
- 2555, Partial Systematic Adaptive Cluster Sampling, International Journal “Environmetrics”
- 2555, Developing Credit Scoring Models When Small Sizes Are Available, The Business Review Cambridge.
- 2555, Developing Credit Scoring Models When Small Sizes Are Available, The Business Review Cambridge
- 2559, Adaptive cluster sampling for negatively correlated data, Environmetrics