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Time series analysis
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#	Item
591	Welch modified periodogram MATLAB’s psd function estimates the power spectral density of a signal using the modified Welch periodogram technique. Please read its help file: » help psd Add to Reading List Source URL: www.le.ac.uk Language: English - Date: 2003-02-26 10:55:01 Statistics Fourier analysis Waves Periodogram Spectral density Time series analysis Window function Fast Fourier transform Mathematical analysis Signal processing Digital signal processing
592	Remote Measurement of Cognitive Stress via Heart Rate Variability Daniel McDuff1 , Sarah Gontarek2 and Rosalind Picard1 I. INTRODUCTION Heart rate variability (HRV) is a commonly used measure of autonomic nervous system Add to Reading List Source URL: affect.media.mit.edu Language: English - Date: 2014-06-11 16:42:38 Heart rate variability Time series analysis Medicine Artificial intelligence Cardiovascular physiology Heart rate Affective computing Stress Blood pressure Education Cardiology Anatomy
593	This article was translated by the author and reprinted from the November 2013 issue of the Securities Analysts Journal® with the permission of the Securities Analysts Association of Japan (SAAJ). Corporate Credit Sprea Add to Reading List Source URL: www.saa.or.jp Language: English - Date: 2014-10-27 04:45:46 Time series analysis Cointegration Liquidity risk Bond Vector autoregression Credit rating agency Corporate bond Unit root Error correction model Statistics Econometrics Economics
594	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: dirichlet.mat.puc.cl Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics
595	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: mirrors.nics.utk.edu Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
596	Political Analysis:296–322 doi:pan/mph020 Presidential Elections and the Stock Market: Comparing Markov-Switching and Fractionally Integrated GARCH Models of Volatility Add to Reading List Source URL: www.bumbamukherjee.com Language: English - Date: 2012-11-11 18:22:05 Technical analysis Economics Econometrics Time series analysis Markov models Autoregressive conditional heteroskedasticity Markov chain Volatility Time series Mathematical finance Statistics Financial economics
597	Forecasts of Nino-34 SST Anomalies Based on Singular Spectrum Analysis Combined with the Maximum Entropy Method contributed by Dmitri Kondrashov and Michael Ghil Department of Atmospheric and Oceanic Sciences, University Add to Reading List Source URL: www.iges.org Language: English - Date: 2012-07-09 13:18:10 Static single assignment form Signal processing Singular spectrum analysis Time series analysis
598	PROGRAMME CHANGES • Cancellations: Abstract C041: A. Dechert. Fractional cointegration analysis of industrial metal prices. Session Add to Reading List Source URL: cmstatistics.org Language: English - Date: 2014-12-04 01:13:31 Regression analysis Time series Bayesian econometrics Bayesian inference Scientific modelling Statistics Bayesian statistics Econometrics
599	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: ftp.osuosl.org Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
600	Modelling the Financial Value of the Maroochy River to Property Values: An Application of Neural Networks Add to Reading List Source URL: www.c3.urv.cat Language: English - Date: 2013-04-10 07:49:09 Time series analysis Analysis of variance Finite difference Mathematical analysis Autocorrelation Time series F-test Statistics Statistical tests Signal processing

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