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Functional data analysis
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461	Exercise 2: More on EpiData Analysis At the end of this exercise you should be able to: a. Know more about data set and variable manipulation b. Know more about tables c. Know more about graphs Add to Reading List Source URL: www.tbrieder.org Language: English - Date: 2014-03-15 12:06:25 Append Functional programming Lisp programming language Variable Spreadsheet Software engineering Computing Computer programming
462	Microsoft Word - MARC-Functional Analysis-Pub1rev3.doc Add to Reading List Source URL: www.loc.gov Language: English - Date: 2006-04-19 09:06:06 Library 2.0 Functional Requirements for Bibliographic Records Library automation Knowledge representation MARC standards Library catalog Cataloging Data model Bibliographic record Library science Information Data
463	A CUSUM TEST OF COMMON TRENDS IN LARGE HETEROGENEOUS PANELS JAVIER HIDALGO AND JUNGYOON LEE Abstract. This paper examines a nonparametric CUSUM-type test for common trends in large panel data sets with individual …xed Add to Reading List Source URL: sticerd.lse.ac.uk Language: English - Date: 2014-09-01 06:12:59 Distribution Functional analysis
464	California Regional PM10 and PM2.5 Air Quality Study (CRPAQS) Statement Of Work – CRPAQS Data Analysis Task 1.1b EXAMINATION OF THE REACTIVE NITROGEN PARTITIONING AT THE BAKERSFIELD AND ANGIOLA FIELD SITES. STI[removed]- Add to Reading List Source URL: www.arb.ca.gov Language: English - Date: 2003-07-16 18:06:19 Pollutants Smog Nitrogen metabolism Oxides Functional groups Nitrate Nitrogen NOx Reactive nitrogen Chemistry Pollution Matter
465	Package ‘BBEST’ August 15, 2014 Author Anton Gagin and Igor Levin with contributions from Charles R. Hogg III Maintainer Anton Gagin Version 0.1-0 Type Package Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-15 16:38:24 Functional languages Data analysis Array programming languages Ggplot2 Visualization Standard deviation Scattering Vector space R Statistics Algebra Mathematics
466	Package ‘BHMSMAfMRI’ August 4, 2014 Type Package Title Bayesian hierarchical multi-subject multiscale analysis of functional MRI data. Version 1.0 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-04 08:19:41 3D computer graphics 3D imaging Statistics Numerical analysis Wavelets Voxel Functional magnetic resonance imaging Discrete wavelet transform Matrix Imaging Neuroimaging Mathematical analysis
467	A g e n t s a n d Da t a M i n i n g Agent-Enriched Data Mining: A Case Study in Brain Informatics Add to Reading List Source URL: www.kis-lab.com Language: English - Date: 2012-01-19 11:38:02 Medical imaging Data analysis Cognitive science Cognitive neuroscience Data mining Functional magnetic resonance imaging P300 Human brain ACT-R Neuroscience Science Neuroimaging
468	Creating a Multisensor Global Ocean Color Data Set OS52A[removed]The Sensor Intercomparison and Merger for Biological and Interdisciplinary Oceanic Studies Add to Reading List Source URL: oceancolor.gsfc.nasa.gov Language: English Computer vision Signal processing SeaWiFS Image fusion Multiresolution analysis Daubechies wavelet Mathematics Numerical analysis Wavelets Mathematical analysis Functional analysis
469	City of Fredericton Citizen Attitude Survey 2011 Data Tables Survey Conducted by MarketQuest-Omnifacts (MQO) Research, June[removed]A1: Compared to two years ago, would you say that economic growth and business Add to Reading List Source URL: www.fredericton.ca Language: English - Date: 2012-02-27 09:48:00 Measure theory Weight function Mean Satisfied Mathematical analysis Combinatorial optimization Functional analysis
470	Progress in the Development of Subseasonal Ensemble Forecast techniques CTB Proposal: “Development of Subseasonal Ensemble Forecast Techniques” 36th Annual Climate Diagnostics and Prediction Workshop Ft. Worth, TX Add to Reading List Source URL: www.cpc.ncep.noaa.gov Language: English - Date: 2011-11-02 07:24:23 Prediction Statistical forecasting Functional analysis Mathematical physics National Centers for Environmental Prediction ESMF Environmental Modeling Center Global climate model Data assimilation Atmospheric sciences Meteorology Weather prediction

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