Testing Performace of Random Access Memory Using Linear Models
AbstractVarious 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 12170.
Date of creation: 21 Oct 2008
Date of revision:
RAM memory; linear model; analysis of covariance; deviance;
Find related papers by JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-12-21 (All new papers)
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- Joseph Hilbe, 1993. "Generalized linear models," Stata Technical Bulletin, StataCorp LP, vol. 2(11).
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