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Univariate analysis
Results: 116

#	Item
51	An application of VIM, the R package for visualization of missing values, to EU-SILC data Matthias Templ and Andreas Alfons August, 2009 Abstract Package VIM allows to explore and to analyze the structure of missing Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:41:01 Scatter plot Data analysis Plot Univariate Parallel coordinates Variable Box plot Bivariate data Data set Statistics Mathematics Charts
52	Microsoft Word - Statistician_open position_West Coast Metabolomics Center[removed] Add to Reading List Source URL: metabolomics.ucdavis.edu Language: English - Date: 2013-02-18 15:24:08 Data analysis Multivariate analysis Metabolomics Data set Univariate Data visualization Statistical power Statistics Bioinformatics Statistical methods
53	Office of Population Research Princeton University WORKING PAPER SERIES Outlier Detection and Editing Procedures for Continuous Multivariate Data Add to Reading List Source URL: www.opr.princeton.edu Language: English - Date: 2003-11-10 12:18:27 Data analysis Outlier Multivariate normal distribution Univariate Normal distribution Multivariate Student distribution Mahalanobis distance Plot Expectation–maximization algorithm Statistics Robust statistics Estimation theory
54	Experimental Design and Analysis Howard J. Seltman November 11, 2014 ii Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-11-11 07:38:16 Psychometrics Scientific method Hypothesis testing SPSS Exploratory data analysis Analysis of variance Data analysis Univariate Statistical power Statistics Science Design of experiments
55	Chapter 4 Exploratory Data Analysis A first look at the data. As mentioned in Chapter 1, exploratory data analysis or “EDA” is a critical first step in analyzing the data from an experiment. Here are the main reasons Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2013-10-03 08:19:48 Probability theory Probability and statistics Robust statistics Plot Variance Univariate analysis Outlier Skewness Normal distribution Statistics Data analysis Summary statistics
56	Experimental Design and Analysis Howard J. Seltman November 1, 2009 ii Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2009-11-01 11:12:21 Psychometrics Scientific method Hypothesis testing SPSS Exploratory data analysis Analysis of variance Data analysis Univariate Statistical power Statistics Science Design of experiments
57	Review for the Short Book Reviews of the International Statistics Institute of: Modeling Financial Time Series with S-Plus. Eric Zivot and Jiahui Wang. New York: Springer, 2003, pp. xix + 632. Contents: 1. S and S-Plus 2 Add to Reading List Source URL: dirk.eddelbuettel.com Language: English - Date: 2003-07-06 21:23:11 Multivariate statistics Autoregressive conditional heteroskedasticity Time series Multivariate analysis Univariate Data set NumXL Robert F. Engle Statistics Time series analysis Econometrics
58 $Forecasting / Moving-average model / Partial autocorrelation function / Errors and residuals in statistics / Autoregressive fractionally integrated moving average / Regression analysis / Seasonality / Time series / Null / Statistics / Time series analysis / Autoregressive integrated moving average$	Package ‘forecast’ September 24, 2014 Version 5.6 Title Forecasting functions for time series and linear models Description Methods and tools for displaying and analysing univariate time series forecasts including ex Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-24 00:54:31 Forecasting Moving-average model Partial autocorrelation function Errors and residuals in statistics Autoregressive fractionally integrated moving average Regression analysis Seasonality Time series Null Statistics Time series analysis Autoregressive integrated moving average
59	Microsoft Word - ConradsERoehl-SSRconf66a404_V4 Add to Reading List Source URL: sc.water.usgs.gov Language: English - Date: 2006-09-11 07:43:39 Mathematical modeling Statistical methods Neural networks Collective intelligence Mathematical model Time series Linear regression Univariate Analysis Statistics Mathematics Econometrics
60	The function hhh4 in the R-package surveillance Michaela Paul and Sebastian Meyer∗ Division of Biostatistics Institute of Social and Preventive Medicine University of Zurich, Switzerland June 17, 2014 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:39:53 Univariate Influenza Regression analysis Normal distribution Statistics Econometrics Actuarial science

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