Mathematical Discussions About Data Oriented Modeling of Uniform Random Variable

2010 International Conference on Computational Intelligence and Communication Networks

Khani

Mirnia

et al. 2010

Nowadays Statistics and Probability, as one of the most applied and essential sciences, has become strongly dependent on computers. The chi-square distribution is most important distribution in inferential statistics. A new model of chi-square random variable with data oriented theory is presented in this paper. By using data oriented theory, concepts can be modeled with data structures. We hope that presented method can take advantage of computers in statistical inference and probability with higher speed and efficiency.

Section: Definitionmentioning

confidence: 99%

Section: IImentioning

confidence: 99%

See 1 more Smart Citation

Chi-Square Random Variable Generator: Data-Oriented Approach

2010 International Conference on Computational Intelligence and Communication Networks

Khani

Mirnia

et al. 2010

“…Prodigraph if and only if V= [0., 0, 1, 2, …, 9]. Note that V is a vector with components of 0. plus all digits.…”

Section: Be a Prodigraph G Is A Digitalmentioning

confidence: 99%

A data-oriented model of exponential random variable

2010 2nd International Conference on Advanced Computer Control

Olfatkhah

Mirnia

2010

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.

“…DOA contains two main components, memory unit and adaptation unit. Data-oriented theory is used in simulating uniform distribution, 6 population modeling, 7 uniform random variable modeling, [8][9][10] image processing, 11 fuzzy controller for controlling the Anti-lock braking system, 12 improving the uniformity of random number generator, 13 data-oriented model of sine 2 and adaptive neuro fuzzy inference system (ANFIS) learning mechanism (ALM) to learn PSDS. 14 …”

Section: Introductionmentioning

confidence: 99%

Midpoint Memory: A Special Memory Structure for Data-Oriented Models Implementation

Heikalabad

Hosseinzadeh

et al. 2015

J CIRCUIT SYST COMP

Introducing data-oriented theory in recent years and its successful applications in engineering and applied science and by requirements to new memory structure for managing data e±ciently, lead us to present a new memory module for implementation of data-oriented models. Most of concepts in data-oriented theory are modeled as problem-solution data structure. In this paper for suitable management these kinds of data structures, a special content addressable memory with fast access is designed which is named Midpoint memory.