Brenda Ramirez
Industrial Statistician
Brenda S. Ramírez, MS, is an industrial statistician with many years of experience working in the semiconductor, chemical, and biotechnology industries. In this role, Brenda partners with engineers and scientists to bring new products to market, sustain manufacturing operations, and guide process improvements through the union of science and statistics. She has spent her career using and promoting Statistical Quality Control techniques, such as SPC and Process Stability metrics. Brenda received an MS in applied statistics from Worcester Polytechnic Institute and an MS in industrial and management engineering from Rensselaer Polytechnic Institute. She is an avid user of SAS and JMP statistical software from SAS. Her book, Analyzing and Interpreting Continuous Data Using JMP: A Step-by-Step Guide, written with her husband José 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.
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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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.
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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.