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Living Without Mathematical Statistics - Accurate Analysis, Diagnosis, and Prognosis Based on the Taguchi Method (Hardcover, 1st ed. 2019)
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Living Without Mathematical Statistics - Accurate Analysis, Diagnosis, and Prognosis Based on the Taguchi Method (Hardcover, 1st ed. 2019)
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The underlying principles invented and developed by Dr. Genichi
Taguchi (1924 - 2012), for the design of experiments or simulation
calculations in multi-parameter systems, are today known as Taguchi
Method. Due to the great success, it was extended to many other
areas. The book explains the basics of this method in as much
detail as necessary and as simply and graphically as possible. The
author shows how broad the current application spectrum is and for
which different tasks it can be used. The application examples
range from optimizing a fermentation process in biotechnology to
minimizing costs in mechanical production and maintaining and
improving competitiveness in industrial production. The processes
described are ideally suited to finding reliable and precise
solutions for a wide variety of problems relatively quickly. A real
competitive advantage not only in research but also for companies
that want to remain competitive in international business
competition. Contents Part 1: Analysis of Variables Part 2: Pattern
Recognition and Diagnosis Part 3: Prognosis Target groups Students,
scientists, engineers or those responsible for development and
products learn to use the Taguchi Method with this book - even
without any previous mathematical-statistical knowledge. The author
Herbert Ruefer studied physics and obtained his doctorate at the
Technical University Karlsruhe, Germany. After a research stay at
IBM, San Jose, California, he taught at the San Marcos National
University in Lima, Peru. He then took on research, development,
and training tasks in the chemical industry in Germany. During this
time, the first personal contacts with Dr. Genichi Taguchi and Dr.
Yuin Wu took place. After his active professional life, he
dedicated himself to special optical methods for astronomical
observations. He also lectures at the Universidad Nacional Mayor de
San Marcos which awarded him an honorary doctorate in 2017.
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