Testing Performace of Random Access Memory Using Linear Models

Filip Tošenovský

MPRA Paper from University Library of Munich, Germany

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.

Keywords: RAM memory; linear model; analysis of covariance; deviance (search for similar items in EconPapers)
JEL-codes: C12 (search for similar items in EconPapers)
Date: 2008-10-21
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:12170

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