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Conference Matrices for Optimizing and Applications: High-Precision Estimation M

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ISBN-13
9789819968381
Book Title
Conference Matrices for Optimizing and Applications
ISBN
9789819968381
Publication Year
2024
Type
Textbook
Format
Hardcover
Language
English
Subject Area
Technology & Engineering, Science, Mathematics
Publication Name
Conference Matrices for Optimizing and Applications : High-Precision Estimation Method with Small Number of Experiments
Author
Teruo Mori
Item Length
9.3 in
Publisher
Springer
Item Width
6.1 in
Subject
Environmental Science (See Also Chemistry / Environmental), Probability & Statistics / General, Industrial Design / General, General
Number of Pages
Xix, 254 Pages

關於產品

Product Information

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.

Product Identifiers

Publisher
Springer
ISBN-10
9819968380
ISBN-13
9789819968381
eBay Product ID (ePID)
3062640672

Product Key Features

Author
Teruo Mori
Publication Name
Conference Matrices for Optimizing and Applications : High-Precision Estimation Method with Small Number of Experiments
Format
Hardcover
Language
English
Subject
Environmental Science (See Also Chemistry / Environmental), Probability & Statistics / General, Industrial Design / General, General
Publication Year
2024
Type
Textbook
Subject Area
Technology & Engineering, Science, Mathematics
Number of Pages
Xix, 254 Pages

Dimensions

Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Ta174
Table of Content
Introduction.- Theory and Analysis.- Conference matrices and families.- Regression Analysis.- Quality improvements.- Parameter design.
Copyright Date
2024
Dewey Decimal
519.6
Dewey Edition
23
Illustrated
Yes

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