EconPapers    
Economics at your fingertips  
 

The First Discriminant Theory of Linearly Separable Data

Shuichi Shinmura ()

in Springer Books from Springer

Date: 2024
ISBN: 978-981-99-9420-5
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Chapters in this book:

Ch Chapter 1 The Most Important Knowledge by 27 Revolutionary Findings and the Outlook of This Book
Shuichi Shinmura
Ch Chapter 2 LINGO Programs Usage and New Facts by Iris Data
Shuichi Shinmura
Ch Chapter 3 Swiss Banknote Data and CPD Data: The Essence of Discriminant Theory
Shuichi Shinmura
Ch Chapter 4 Test Pass/Fail Judgment and Japanese Compact Cars and Regular Cars
Shuichi Shinmura
Ch Chapter 5 First Theory of Cancer Gene Data Analysis by 169 Microarrays—Four Universal Data Structures of Discriminant Data
Shuichi Shinmura
Ch Chapter 6 Three Important Studies for Cancer Gene Diagnosis
Shuichi Shinmura
Ch Chapter 7 Two-Step Practical Screening Method for Cancer Gene Diagnoses—Multivariate Oncogenes Among 169 Microarrays
Shuichi Shinmura

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-981-99-9420-5

Ordering information: This item can be ordered from
http://www.springer.com/9789819994205

DOI: 10.1007/978-981-99-9420-5

Access Statistics for this book

More books in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-02-19
Handle: RePEc:spr:sprbok:978-981-99-9420-5