Testing Performace of Random Access Memory Using Linear Models

Tošenovský, Filip (2008): Testing Performace of Random Access Memory Using Linear Models. Published in: Acta Academica Karviniensia

Abstract

Various discussions relating to computers comment on a reasonable extent of random access memory (RAM) increase as it is a known fact that the extention of this type of memory influences speed of computer machines. Disputes often arise as to whether half a gigabyte extension of RAM is large enough for the computers to be significantly sped up, given the complexity of present software applications. In this article, we test statistically whether such an increase speeds up computers significantly or not, using analysis of covariance as a suitable statistical tool.

• Item Type: MPRA Paper
• Language: English
• Keywords: RAM memory, linear model, analysis of covariance, deviance
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C12 - Hypothesis Testing: General

References

[1] Freund J., Wilson J. : Statistical Methods, Elsevier Science 2002

[2] Hardin W., Hilbe J. : Generalized Linear Models, Stata Press 2007

[3] Hebák P., Hustopecký J., Malá I. : Vícerozměrné statistické metody [2], 2005

[4] McCullagh P., Nelder J.A. : Generalized Linear Models, Chapman & Hall 1989

[5] Snedecor G., Cochran W. : Statistical Methods, Iowa State University Press 1989