Title :
A data-oriented model of exponential random variable
Author :
Navin, Ahmad Habibizad ; Olfatkhah, Raheleh ; Mirnia, Mir Kamal
Author_Institution :
Comput. Res. Lab., Islamic Azad Univ.-Tabriz Branch, Tabriz, Iran
Abstract :
Data-oriented is a new and applied theory which provides methods that models the concepts with data structures. If the concept is modeled by using sufficient data in modeling, the required inferences and calculations can be done fast and less complexity. In this paper a data-oriented model of exponential random variable by using probability tree is introduced. Digits probabilities are calculated by using Ahmad fact. Presented model will be able us to do probability and statistical inferences in efficient and different way by modern computers.
Keywords :
data models; probability; random processes; statistical analysis; trees (mathematics); Ahmad fact; data structures; data-oriented model; digits probability; exponential random variable; probability tree; statistical inferences; Computational modeling; Data structures; Distributed computing; Exponential distribution; Laboratories; Mathematical model; Probability; Random number generation; Random variables; Statistics; Ahmad fact; data-oriented; exponential distribution; probability tree; random variable;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5487128
