**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**30843

##### An Alternative Method for Generating Almost Infinite Sequence of Gaussian Variables

**Authors:**
Nyah C. Temaneh,
F. A. Phiri,
E. Ruhunga

**Abstract:**

**Keywords:**
Statistical Analysis,
Random Numbers,
Gaussian variable,
simulation ofCommunication Network

**Digital Object Identifier (DOI):**
doi.org/10.5281/zenodo.1075446

**References:**

[1] James E. Gentle. Random Number Generation and Monte Carlo Methods, Series: Statistics and Computing. 2nd ed. 2003. Corr. 2nd printing, 2003, XV, 300 p., Hardcover. ISBN: 978-0-387-00178-4

[2] Nyah. C. Temaneh, "Monte-Carlo Technique Estimation of a Probability of Intermodulation Interference in a Cellular Wireless Communication Network", Proceedings 2010 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering, Irkutsk, Russia 2010, pp. 329 - 334.

[3] Nyah. C. Temaneh, K. E. Vinogradov, A. N. Krenev, "Monte-Carlo based estimation of probabilistic characteristics of signal to noise ratio with GSM 900 cellular communication network as case study (in Russian)", in Proceedings of IX international scientific - technical conference on Radiolocation, Navigation and Communication, Voronesh (Russia), vol. 2, 2005, pp. 1182 - 1188.

[4] Nyah. C. Temaneh, "Estimation of a probability of interference in a cellular communication network using the Monte Carlo Technique." Proceedings of the Southern African Telecommunications and Networks Conference, SATNAC 2009, Swaziland, September 2009.

[5] ERC Report 68,"Monte-Carlo Simulation Methodology for the use in sharing and compatibility studies between different radio services or systems" Naples, February 2000

[6] D. H. Lehmer. Mathematical methods in large-scale computing units. In Proc. 2nd Sympos. On Large Scale Digital Calculating Machinery, Cambridge, MA, 1949, PP. 141-146, Cambridge, MA, 1951. Harvard University Press.

[7] Gurskiy E. I., Probability theory with elements of mathematical statistics. Moscow, 1971.