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Testing Performace of Random Access Memory Using Linear Models

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  • Tošenovský, Filip

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.

Suggested Citation

  • Tošenovský, Filip, 2008. "Testing Performace of Random Access Memory Using Linear Models," MPRA Paper 12170, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:12170
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    File URL: https://mpra.ub.uni-muenchen.de/12170/1/MPRA_paper_12170.pdf
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    References listed on IDEAS

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    1. Joseph Hilbe, 1993. "Generalized linear models," Stata Technical Bulletin, StataCorp LP, vol. 2(11).
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    More about this item

    Keywords

    RAM memory; linear model; analysis of covariance; deviance;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

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