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Univariate
Results: 202

#	Item
61	Emerging Health Threats Journal 2011, 4:s42. doi: ehtj & 2011 DB Neill et al.; licensee Emerging Health Threats Journal. www.eht-journal.org ABSTRACT Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-04-13 23:33:55 Video Terminology Television Univariate
62	Example Applied Statistics Desktop Reference Phil Crewson Add to Reading List Source URL: www.acastat.com Language: English - Date: 2014-09-08 01:36:40 Scientific method Biostatistics Statistical inference Descriptive statistics Univariate Statistic Mode Level of measurement Confidence interval Statistics Summary statistics Measurement
63	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 Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2015-02-24 20:53:53 XT Mathematics Signal processing Knowledge Singular spectrum analysis Time series analysis Time series Univariate
64	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 Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2015-02-24 20:53:54 XT Mathematics Signal processing Knowledge Singular spectrum analysis Time series analysis Time series Univariate
65	Estudos e Documentos de Trabalho Working Papers 13 \| 2010 MARGINAL DISTRIBUTIONS OF RANDOM VECTORS GENERATED BY AFFINE TRANSFORMATIONS OF INDEPENDENT TWO-PIECE NORMAL VARIABLES Add to Reading List Source URL: www.bportugal.pt Language: English - Date: 2012-04-13 06:17:27 Normal distribution Skewness Skew normal distribution Univariate distribution Probability distribution Multivariate statistics Random matrices Multivariate Student distribution Multivariate stable distribution Statistics Probability and statistics Multivariate normal distribution
66	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 Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2010-03-04 18:56:27 Integral calculus Integral Antiderivative Linear programming Function Euclidean algorithm Multiple integral Mathematics Mathematical analysis Functions and mappings
67	Optimally Adaptive Integration of Univariate Lipschitz Functions Ilya Baran∗ Erik D. Demaine∗ Dmitriy A. Katz† Add to Reading List Source URL: www.mit.edu Language: English - Date: 2004-07-05 16:32:58 Lipschitz continuity Integral Continuous function Mathematical analysis Mathematics Functions and mappings
68	Data Exploration Dr. Saed Sayad University of Toronto[removed]removed] Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2010-01-09 15:09:26 Data analysis Univariate
69	The University of Adelaide School of Economics Research Paper No[removed]July 2011 Add to Reading List Source URL: economics.adelaide.edu.au Language: English - Date: 2014-08-10 21:21:47 Markov models Statistical theory Options Normal distribution Markov chain Maximum likelihood Univariate Likelihood function Probability distribution Statistics Mathematical finance Estimation theory
70	Data Exploration Case Study Dr. Saed Sayad http://chem-eng.utoronto.ca/~datamining/ Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2010-01-29 12:04:59 Univariate analysis Data set Kurtosis Mode Statistics Skewness Summary statistics

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