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Stationary process
Results: 146

#	Item
41	Semiparametric Regression Analysis of Longitudinal Data Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2007-03-13 22:57:19 Signal processing Covariance and correlation Fractals Fractional Brownian motion Autocorrelation Time series Autoregressive integrated moving average Stationary process Lévy process Statistics Stochastic processes Time series analysis
42	Useful Tools in the Design Process of Rotor-Bearing Systems Nils Wagner, Reinhard Helfrich Intes GmbH, Stuttgart, Germany http://www.intes.de Add to Reading List Source URL: www.intes.de Language: English - Date: 2014-08-20 10:01:34 Dynamics Mathematics Structural analysis Rotordynamics Campbell diagram Gyroscope Stationary Reference Frame Eigenvalues and eigenvectors Matrix Algebra Physics Mechanical engineering
43	Stoch Environ Res Risk Assess:165–182 DOIs00477ORIGINAL PAPER Regional flood frequency and spatial patterns analysis in the Pearl Add to Reading List Source URL: folk.uio.no Language: English - Date: 2010-01-15 07:15:42 Stationary process Normal distribution Pearl River Delta Flood Spatial analysis Moment Time series Tide Statistics Probability theory L-moment
44	Testing for Discrete and Continuous Spectral Differences Barry Quinn Macquarie University, Statistics Department Building C5C, Macquarie University Sydney, NSW, 2109, Australia Add to Reading List Source URL: stat.mq.edu.au Language: English - Date: 2009-07-18 23:01:21 Stochastic processes Noise Econometrics Spectral density Stationary process Autoregressive model Time series Autoregressive conditional heteroskedasticity White noise Statistics Time series analysis Signal processing
45	CHAPTER ONE. Introduction. My Ph.D. thesis is concerned with convergence properties of certain Markov chains. Specifically, I have studied various random walks on finite and compact Lie groups (Chapters 2 and 3), and ha Add to Reading List Source URL: probability.ca Language: English - Date: 2006-10-04 21:23:47 Markov processes Markov chain Random walk Gibbs sampling Stationary distribution Markov chain Monte Carlo Stationary process Statistics Stochastic processes Markov models
46 $Mathematical analysis / Multifractal system / Multiplicative cascade / Stationary process / Time series / Brownian motion / Autoregressive integrated moving average / Fractal dimension / Fractals / Statistics / Dimension$	CloudySkies W. Wiscombe and A. Davis NASA Goddard Space Flight Center Climate & Radiation Branch Greenbelt, MD 20771 Add to Reading List Source URL: www.arm.gov Language: English - Date: 2009-08-28 12:42:25 Mathematical analysis Multifractal system Multiplicative cascade Stationary process Time series Brownian motion Autoregressive integrated moving average Fractal dimension Fractals Statistics Dimension
47	This discussion paper is/has been under review for the journal Hydrology and Earth System Sciences (HESS). Please refer to the corresponding final paper in HESS if available. Discussion Paper Hydrol. Earth Syst. Sci. Di Add to Reading List Source URL: www.hydrol-earth-syst-sci-discuss.net Language: English - Date: 2015-04-19 23:02:38 Rain Climate Climate of Australia Time series Stationary process
48	BIOMEDICAL SIGNAL ANALYSIS A Case-Study Approach Updates and Corrections Rangaraj M. Rangayyan Professor, Department of Electrical and Computer Engineering Add to Reading List Source URL: people.ucalgary.ca Language: English - Date: 2015-03-02 13:26:17 Electrophysiology Stochastic processes Nervous system Action potential Computational neuroscience Stationary process Neuron Membrane potential Axon Biology Neuroscience Cellular neuroscience
49	Biogeosciences, 7, 2081–2089, 2010 www.biogeosciences.netdoi:bg © Author(sCC Attribution 3.0 License. Biogeosciences Add to Reading List Source URL: www.biogeosciences.net Language: English - Date: 2014-12-03 13:10:31 Geostatistics Statistical methods Estimation theory Variogram Stationary process Mixed model Variance Best linear unbiased prediction Covariance function Statistics Regression analysis Covariance and correlation
50	Estimation of ACVF and ACF: I • given a time series presumed to be a realization of a portion X1, X2, . . . , Xn of a stationary process, overheads II–62 and II–63 stated definitions for a sample ACVF and ACS that Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2015-03-11 13:05:44 Estimation theory Signal processing Statistical inference

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