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
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;
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
DOI :
10.1109/ICCEA.2010.277
