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Living Without Mathematical Statistics

Ruefer, Herbert - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
1908002009EB0002685658.5 Rue lCentral Library (OPAC)Available
Detail Information
Series Title
-
Call Number
658.5 Rue l
Publisher
Switzerland : Springer Cham., 2018
Collation
xii, 507p.:Ill
Language
English
ISBN/ISSN
978-3-319-99632-5
Classification
658.5
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Quality control--Statistical methods
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

File Attachment
  • Living Without Mathematical Statistics
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