DocumentCode
2046242
Title
A Novel Model of Normal Random Variable Based on Data-Oriented Theory
Author
Olfatkhah, Raheleh ; Navin, Ahmad Habibizad ; Mirnia, Mir Kamal
Author_Institution
Young Researchers Club, Islamic Azad Univ., Tabriz, Iran
Volume
2
fYear
2010
fDate
19-21 March 2010
Firstpage
585
Lastpage
590
Abstract
Data-oriented is a new and applied theory which provides methods that models the concepts with data structures. By using these models in modern computing systems, required inference can be done efficiently. In this paper a novel model of normal random variable based on Data-oriented theory by using probability tree is presented which will be able to do probability and statistical inferences in different ways by computer.
Keywords
data handling; probability; trees (mathematics); data structures; data-oriented theory; normal random variable; probability tree; statistical inferences; Application software; Classification tree analysis; Computational modeling; Computer applications; Data engineering; Data structures; Laboratories; Mathematical model; Probability; Random variables; data-oriented theory; probability tree; random variable modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
Conference_Location
Bali Island
Print_ISBN
978-1-4244-6079-3
Electronic_ISBN
978-1-4244-6080-9
Type
conf
DOI
10.1109/ICCEA.2010.277
Filename
5445715
Link To Document