Product details:

ISBN13:9789819968381
ISBN10:98199683811
Binding:Hardback
No. of pages:254 pages
Size:235x155 mm
Language:English
Illustrations: 64 Illustrations, black & white; 82 Illustrations, color
699
Category:

Conference Matrices for Optimizing and Applications

High-Precision Estimation Method with Small Number of Experiments
 
Edition number: 2024
Publisher: Springer
Date of Publication:
Number of Volumes: 1 pieces, Book
 
Normal price:

Publisher's listprice:
EUR 96.29
Estimated price in HUF:
39 734 HUF (37 841 HUF + 5% VAT)
Why estimated?
 
Your price:

31 786 (30 273 HUF + 5% VAT )
discount is: 20% (approx 7 947 HUF off)
Discount is valid until: 30 June 2024
The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
Click here to subscribe.
 
Availability:

Not yet published.
 
  Piece(s)

 
Short description:

This book describes many types of Conference matrices and shows the case studies of application. Also, this book deals with putting the operation procedure and data analysis for optimizing.



After reading this book, many researchers in universities or industries directly can apply various methods in this book to researching subjects, the trial numbers, and cost. And it saves time around 1/3?1/2 in total research activities. Especially, this book contributes SDGs and saving GLOBAL warming which need to countermeasures as well.


Long description:

This book describes many types of Conference matrices and shows the case studies of application. Also, this book deals with putting the operation procedure and data analysis for optimizing.

After reading this book, many researchers in universities or industries directly can apply various methods in this book to researching subjects. And it saves the trial numbers, cost and time around 1/3?1/2 in total research activities. Especially, this book contributes SDGs and saving GLOBAL warming which need to countermeasures as well.

Table of Contents:
Introduction.- Theory and Analysis.- Conference matrices and families.- Regression  Analysis.- Quality improvements.- Parameter design.