Kattamuri S. Sarma
Economist & Statistician
Kattamuri S. Sarma, PhD, was an economist and statistician with 30 years of experience in American business, including stints with IBM and AT&T. He was the founder and president of Ecostat Research Corp., a consulting firm specializing in predictive modeling and forecasting. Over the years, Dr. Sarma developed predictive models for the banking, insurance, telecommunication, and technology industries. A SAS user since 1992 until his death in 2020, he had extensive experience with multivariate statistical methods, econometrics, decision trees, and data mining with neural networks. The author of numerous professional papers and publications, Dr. Sarma was a SAS Certified Professional and a SAS Alliance Partner. He received his bachelor's degree in mathematics and his master's degree in economic statistics from universities in India. Dr. Sarma received his PhD in economics from the University of Pennsylvania, where he worked under the supervision of Nobel Laureate Lawrence R. Klein.
By This Author
Predictive Modeling with SAS® Enterprise Miner™: Practical Solutions for Business Applications, Third Edition
By Kattamuri S. Sarma
This book shows you how to develop and test predictive models quickly using SAS® Enterprise Miner™. Explains complex methods in a simple and practical way to readers from different backgrounds and industries using realistic data. Incorporates the latest version of Enterprise Miner and expands the section on time series.
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Predictive Modeling with SAS® Enterprise Miner™: Practical Solutions for Business Applications, Second Edition
By Kattamuri S. Sarma
Predictive Modeling with SAS® Enterprise Miner™: Practical Solutions for Business Applications
By Kattamuri S. Sarma
*Replaced by Predictive Modeling with SAS® Enterprise Miner™: Practical Solutions for Business Applications, Third Edition
Featured Authors
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.