Optimal Experimental Design for Non-Linear Models
Christos P. Kitsos
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Description for Optimal Experimental Design for Non-Linear Models
Paperback. Series: SpringerBriefs in Statistics. Num Pages: 102 pages, 8 black & white illustrations, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 6. Weight in Grams: 183.
This book tackles the Optimal Non-Linear Experimental Design problem from an applications perspective. At the same time it offers extensive mathematical background material that avoids technicalities, making it accessible to non-mathematicians: Biologists, Medical Statisticians, Sociologists, Engineers, Chemists and Physicists will find new approaches to conducting their experiments. The book is recommended for Graduate Students and Researchers.
This book tackles the Optimal Non-Linear Experimental Design problem from an applications perspective. At the same time it offers extensive mathematical background material that avoids technicalities, making it accessible to non-mathematicians: Biologists, Medical Statisticians, Sociologists, Engineers, Chemists and Physicists will find new approaches to conducting their experiments. The book is recommended for Graduate Students and Researchers.
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
102
Condition
New
Series
SpringerBriefs in Statistics
Number of Pages
102
Place of Publication
Berlin, Germany
ISBN
9783642452864
SKU
V9783642452864
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Christos P. Kitsos
Professor Christos Kitsos received his first degree in Mathematics from the University of Athens, Greece (1973), his Master’s in Mathematics & Statistics from the University of New Brunswick, Canada (1978), and his PhD in Statistics from the University of Glasgow, Scotland, UK (1986). His research interests are in Optimal Experimental Design (mainly on Non-Linear), Industrial Statistics, Risk Assessment (in Cancer ... Read more
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