A Data-Oriented Model of exponential Random Variable

摘要：

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.

关键词： probability tree random variable data-oriented exponential distribution Ahmad fact

作者: Ahmad Habibizad Navin Raheleh Olfatkhah Mir Kamal Mirnia

作者单位: Computer Research Laboratory Islamic Azad University-Tabriz Branch,Tabriz,Iran Member of young researchers club of Islamic Azad University-Tabriz Branch,Tabriz,Iran

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 603-607

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）