Log-log plot

Results: 60



#Item
1Log Property Comparison to Seismic Amplitude Analysis, Ness County, Kansas Eric Swanson December 2011

Log Property Comparison to Seismic Amplitude Analysis, Ness County, Kansas Eric Swanson December 2011

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Source URL: www.agl.uh.edu

Language: English - Date: 2014-03-28 17:04:00
2Smooth number estimates  Rome, January 2009 Lemma. Let a ∈ R>0 and let φa : R>0 −→ R be the function given by φa (x) = x log x +

Smooth number estimates Rome, January 2009 Lemma. Let a ∈ R>0 and let φa : R>0 −→ R be the function given by φa (x) = x log x +

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Source URL: www.mat.uniroma2.it

Language: English - Date: 2010-12-15 17:05:16
3Microsoft Word - IS Codes.docx

Microsoft Word - IS Codes.docx

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Source URL: www.amiestudycircle.com

Language: English - Date: 2016-05-28 02:21:33
4280  Genome Informatics 13: 280–Parametric Treatment of cDNA Microarray Data Tomokazu Konishi

280 Genome Informatics 13: 280–Parametric Treatment of cDNA Microarray Data Tomokazu Konishi

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Source URL: www.jsbi.org

Language: English - Date: 2002-12-19 23:03:42
51  Are the discretised lognormal and hooked power law distributions plausible for citation data? Mike Thelwall, Statistical Cybermetrics Research Group, University of Wolverhampton, UK. There is no agreement over which s

1 Are the discretised lognormal and hooked power law distributions plausible for citation data? Mike Thelwall, Statistical Cybermetrics Research Group, University of Wolverhampton, UK. There is no agreement over which s

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Source URL: arxiv.org

Language: English - Date: 2016-03-16 20:09:56
6ESTIMATING THE DISTRIBUTION OF DEMAND USING BOUNDED SALES DATA Michael R. Middleton, McLaren School of Business, University of San Francisco 2130 Fulton Street, San Francisco, CAmiddleton@usfca.e

ESTIMATING THE DISTRIBUTION OF DEMAND USING BOUNDED SALES DATA Michael R. Middleton, McLaren School of Business, University of San Francisco 2130 Fulton Street, San Francisco, CAmiddleton@usfca.e

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Source URL: genetics.ucsd.edu

Language: English - Date: 2015-08-27 18:23:21
7Package ‘extremevalues’ February 19, 2015 Description Detect extreme values in onedimensional data VersionDateTitle Univariate outlier detection

Package ‘extremevalues’ February 19, 2015 Description Detect extreme values in onedimensional data VersionDateTitle Univariate outlier detection

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Source URL: cran.r-project.org

Language: English
8Microsoft Word - Dhu et al.doc

Microsoft Word - Dhu et al.doc

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Source URL: www.crcleme.org.au

Language: English - Date: 2009-01-14 01:20:02
9Logarithms and growth rates Definition of the logarithm: The value of logb(x) is defined by the equation: 𝑥𝑥 = 𝑏𝑏 log 𝑏𝑏 𝑥𝑥 where b is the base of the logarithm. In other words, logb(x) is the pow

Logarithms and growth rates Definition of the logarithm: The value of logb(x) is defined by the equation: 𝑥𝑥 = 𝑏𝑏 log 𝑏𝑏 𝑥𝑥 where b is the base of the logarithm. In other words, logb(x) is the pow

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Source URL: www.cs.utsa.edu

Language: English - Date: 2009-11-06 11:34:22
10Technical drawing / Plot / Graph paper / Graph / Well-covered graph / Semi-log plot / Graph theory / Charts / Mathematics

Graphing Guidelines for Physics 1. Use graph paper. (Seems obvious butAlways number your graphs and refer to the graphs by number.

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Source URL: www.rlasd.k12.pa.us

Language: English - Date: 2013-05-21 08:22:02