Univariate

Results: 202



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61Emerging Health Threats Journal 2011, 4:s42. doi: ehtj & 2011 DB Neill et al.; licensee Emerging Health Threats Journal. www.eht-journal.org ABSTRACT

Emerging Health Threats Journal 2011, 4:s42. doi: ehtj & 2011 DB Neill et al.; licensee Emerging Health Threats Journal. www.eht-journal.org ABSTRACT

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Source URL: www.cs.cmu.edu

Language: English - Date: 2011-04-13 23:33:55
62Example  Applied Statistics Desktop Reference  Phil Crewson

Example Applied Statistics Desktop Reference Phil Crewson

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Source URL: www.acastat.com

Language: English - Date: 2014-09-08 01:36:40
63What is Spectral Analysis? • one of most widely used (& lucrative!) methods in data analysis • can be regarded as − analysis of variance of time series using cosines & sines − cosines & sines + statistics (or Fou

What is Spectral Analysis? • one of most widely used (& lucrative!) methods in data analysis • can be regarded as − analysis of variance of time series using cosines & sines − cosines & sines + statistics (or Fou

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Source URL: faculty.washington.edu

Language: English - Date: 2015-02-24 20:53:53
64What is Spectral Analysis? • one of most widely used (& lucrative!) methods in data analysis • can be regarded as − analysis of variance of time series using cosines & sines − cosines & sines + statistics (or Fou

What is Spectral Analysis? • one of most widely used (& lucrative!) methods in data analysis • can be regarded as − analysis of variance of time series using cosines & sines − cosines & sines + statistics (or Fou

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Source URL: faculty.washington.edu

Language: English - Date: 2015-02-24 20:53:54
65Estudos e Documentos de Trabalho Working Papers 13 | 2010 MARGINAL DISTRIBUTIONS OF RANDOM VECTORS GENERATED BY AFFINE TRANSFORMATIONS OF INDEPENDENT TWO-PIECE NORMAL VARIABLES

Estudos e Documentos de Trabalho Working Papers 13 | 2010 MARGINAL DISTRIBUTIONS OF RANDOM VECTORS GENERATED BY AFFINE TRANSFORMATIONS OF INDEPENDENT TWO-PIECE NORMAL VARIABLES

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Source URL: www.bportugal.pt

Language: English - Date: 2012-04-13 06:17:27
66CONTINUOUS AMORTIZATION: A NON-PROBABILISTIC ADAPTIVE ANALYSIS TECHNIQUE∗ MICHAEL BURR† , FELIX KRAHMER‡ , AND CHEE YAP† Abstract. Let f be a univariate polynomial with real coefficients, f ∈ R[X]. Subdivision

CONTINUOUS AMORTIZATION: A NON-PROBABILISTIC ADAPTIVE ANALYSIS TECHNIQUE∗ MICHAEL BURR† , FELIX KRAHMER‡ , AND CHEE YAP† Abstract. Let f be a univariate polynomial with real coefficients, f ∈ R[X]. Subdivision

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Source URL: www.cs.nyu.edu

Language: English - Date: 2010-03-04 18:56:27
67Optimally Adaptive Integration of Univariate Lipschitz Functions Ilya Baran∗ Erik D. Demaine∗  Dmitriy A. Katz†

Optimally Adaptive Integration of Univariate Lipschitz Functions Ilya Baran∗ Erik D. Demaine∗ Dmitriy A. Katz†

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Source URL: www.mit.edu

Language: English - Date: 2004-07-05 16:32:58
68Data Exploration Dr. Saed Sayad University of Toronto[removed]removed]

Data Exploration Dr. Saed Sayad University of Toronto[removed]removed]

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Source URL: chem-eng.utoronto.ca

Language: English - Date: 2010-01-09 15:09:26
69The University of Adelaide School of Economics Research Paper No[removed]July 2011

The University of Adelaide School of Economics Research Paper No[removed]July 2011

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Source URL: economics.adelaide.edu.au

Language: English - Date: 2014-08-10 21:21:47
70Data Exploration Case Study Dr. Saed Sayad http://chem-eng.utoronto.ca/~datamining/

Data Exploration Case Study Dr. Saed Sayad http://chem-eng.utoronto.ca/~datamining/

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Source URL: chem-eng.utoronto.ca

Language: English - Date: 2010-01-29 12:04:59