Synopsis
Based on real-world applications, Analyzing and Interpreting Continuous Data Using JMP: A Step-by-Step Guide, by Jose Ramirez, Ph.D., and Brenda S. Ramirez, M.S., combines statistical instructions with a powerful and popular software platform to solve common problems in engineering and science. In the many case studies provided, the authors clearly set up the problem, explain how the data were collected, show the analysis using JMP, interpret the output in a user-friendly way, and then draw conclusions and make recommendations. This step-by-step format enables users new to statistics or JMP to learn as they go, but the book will also be helpful to those with some familiarity with statistics and JMP. The book includes a foreword written by Professor Douglas C. Montgomery.
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Présentation de l'éditeur
Based on real-world applications, Analyzing and Interpreting Continuous Data Using JMP: A Step-by-Step Guide, by Jose Ramirez, Ph.D., and Brenda S. Ramirez, M.S., combines statistical instructions with a powerful and popular software platform to solve common problems in engineering and science. In the many case studies provided, the authors clearly set up the problem, explain how the data were collected, show the analysis using JMP, interpret the output in a user-friendly way, and then draw conclusions and make recommendations. This step-by-step format enables users new to statistics or JMP to learn as they go, but the book will also be helpful to those with some familiarity with statistics and JMP. The book includes a foreword written by Professor Douglas C. Montgomery.
Biographie de l'auteur
José G. Ramírez, Ph.D., is an industrial statistician working closely with engineers and scientists to help them "make sense of data," through collaborative education, promoting statistical thinking, and JMP usage. He has been using JMP and SAS for more than fifteen years as a catalyst to turn data into knowledge. He received a degree in mathematics from Universidad Simón Bolívar in Caracas, Venezuela, and an M.S. in applied statistics and a Ph.D. in statistics, both from the University of Wisconsin at Madison, where he was one of the founding members of the Center for Quality and Productivity Improvement. In 1998, at SUGI 23, he won the best contributed statistics paper, and in 2002 he was awarded the SAS User Feedback Award.
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