José G. Ramírez
Industrial Statistician
José G. Ramírez, PhD, is a statistical engineer with years of experience in the semiconductor, electronics and biotech industries. A JMP user for more than 25 years, he works closely with engineers and scientists to help them make sense of data, and through collaborative education, helps promote statistical thinking and JMP usage. He received a degree in mathematics from Universidad Simón Bolívar in Caracas, Venezuela, and both an MS in applied statistics and a PhD in statistics from the University of Wisconsin-Madison. He was one of the founding members of the Center for Quality and Productivity Improvement at the University of Wisconsin-Madison. At the 1998 international SAS users conference, Ramírez won the best contributed statistics paper, and in 2002 he received the SAS User Feedback Award. His book, Analyzing and Interpreting Continuous Data Using JMP: A Step-by-Step Guide, written with his wife Brenda Ramírez, won the 2010 Award of Excellence in the Society for Technical Communications International Technical Publications Competition.
By This Author
Douglas Montgomery’s Introduction to Statistical Quality Control: A JMP® Companion
By Brenda S. Ramírez and José G. Ramírez
Using examples from the popular textbook by Douglas Montgomery, Douglas Montgomery’s Introduction to Statistical Quality Control: A JMP® Companion demonstrates the powerful Statistical Quality Control (SQC) tools found in JMP. Geared toward students and practitioners of SQC who are using these techniques to monitor and improve products and processes, this companion provides step-by-step instructions on how to use JMP to generate the output and solutions found in Montgomery’s book.
- Table of Contents and Excerpt
- Example Code and Data
- Files for exercises in Chapters 3-9
- Reviews
- Click here for more information about Introduction to Statistical Quality Control, 8th Edition by Douglas Montgomery
Analyzing and Interpreting Continuous Data Using JMP®: A Step-by-Step Guide
By José G. Ramírez and Brenda S. Ramírez
Based on real-world applications, this book combines statistical instructions with a powerful and popular software platform to solve common problems in engineering and science. The unique step-by-step format enables users new to statistics or JMP to learn as they go, but the book is also helpful to those with some familiarity with statistics and JMP.
*This book is out of print.
Extra and Events
Stat Insights - Music and Data Visualization (What It's All About)
Shelly Goodin speaks with José Ramírez at SAS Global Forum 2009.
Awards
2009-2010 Society for Technical Communication, Carolina Chapter: Technical Publications Competition
Distinguished Award - Books:
Analyzing and Interpreting Continuous Data Using JMP®: A Step-by-Step Guide
"Clearly superior in all areas. The entry contains no major flaws and few, if any, minor flaws. It applies the principles of technical communication in an outstanding way, particularly in the way that it anticipates and fulfills the needs of its audience."
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2009-2010 Society for Technical Communication, International Technical Publications Competition
Award of Excellence:
Analyzing and Interpreting Continuous Data Using JMP®: A Step-by-Step Guide
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.