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

Volume

5

fYear

2010

fDate

27-29 March 2010

Firstpage

603

Lastpage

607

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Control (ICACC), 2010 2nd International Conference on

Conference_Location

Shenyang

Print_ISBN

978-1-4244-5845-5

Type

conf

DOI

10.1109/ICACC.2010.5487128

Filename

5487128