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Moving average
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1	All posted rides should contain, at a minimum, the following information: 1. Type of Ride 2. Average moving speed 3. Planned distance 4. Departure time 5. Departure location Add to Reading List Source URL: cycling.mit.edu Language: English - Date: 2014-03-24 11:15:00
2	Nonlinear Processes in Geophysics, 12, 515–525, 2005 SRef-ID: npgEuropean Geosciences Union © 2005 Author(s). This work is licensed under a Creative Commons License. Add to Reading List Source URL: www.staff.science.uu.nl Language: English - Date: 2011-05-16 11:51:27 Statistics Control theory Signal processing Time series models Engineering Statistical theory Estimation theory Data assimilation Weather forecasting Autoregressive integrated moving average Mathematical optimization Autoregressive model
3	Forecasting Daily and High-frequency Data M´elard, Guy Abstract Examples of high-frequency time series arise in many fields of applications, like daily sales in stores, energy consumptions by hours in office buildings, Add to Reading List Source URL: homepages.ulb.ac.be Language: English - Date: 2014-08-14 11:08:56 Statistics Time series analysis Time series models Signal processing Noise Covariance and correlation Autoregressive integrated moving average Autoregressivemoving-average model Autocorrelation Autoregressive model Time series Forecasting
4	ABOUT MANUSCRIPTS FOR IJ ITA Add to Reading List Source URL: foibg.com Language: English - Date: 2015-02-02 08:47:13 Statistics Time series models Noise Time series analysis Probability theory Regression analysis Signal processing Autoregressive integrated moving average Autoregressivemoving-average model Recurrence relation Linear regression Autoregressive model
5	WORKING WITH SAS ® DATE AND T IME FUNCTIONS Andrew H. Karp Sierra Information Services, Inc. San Francisco, California USA Introduction Many SAS® applications require that operations Add to Reading List Source URL: www.ats.ucla.edu Language: English Software Computing Data management 4GL Business intelligence Data warehousing Numerical software SAS Variable Dependent and independent variables Time series Autoregressive integrated moving average
6	SSDBMEfficient In-Database Maintenance of ARIMA Models Technische Universität Dresden Database Technology Group Add to Reading List Source URL: ssdbm2011.ssdbm.org Language: English - Date: 2011-09-01 19:55:47 Statistics Estimation theory Statistical inference Time series models Signal processing Statistical theory Autoregressive integrated moving average Maximum likelihood estimation Estimator Autoregressive model
7	Work in progress Tractable Estimation of Non-Linear DSGE Models Using Observation Equation Inversion Robert Kollmann () ECARES, Université Libre de Bruxelles & CEPR Add to Reading List Source URL: www.macfinrobods.eu Language: English* - Date: 2016-06-18 02:53:06 Economics Time series models Mathematical analysis Control theory Statistics Dynamic stochastic general equilibrium Kalman filter Logarithm Autoregressive integrated moving average Nonlinear system
8	Microsoft Word - Time series.docx Add to Reading List Source URL: gemwem.ch Language: English - Date: 2016-01-27 10:58:53 Signal processing Time series models Stochastic processes Statistics Time series analysis Noise Stationary process Time series Autoregressive model Autoregressive integrated moving average Data
9	7-DAY MOVING AVERAGE BASIN INFLOW VERSUS 1-DAY DISCHARGE AT THE CHATTAHOOCHEE, FL USGS GAGEFLOW (cfs) Add to Reading List Source URL: water.sam.usace.army.mil - Date: 2016-08-21 10:14:57
10	Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis Yongfeng Zhang†‡ ,Min Zhang† ,Yi Zhang‡ ,Guokun Lai† ,Yiqun Liu† ,Honghui Zhang† ,Shaoping Ma† † State Key Laboratory Add to Reading List Source URL: yongfeng.me Language: English - Date: 2015-12-28 22:49:54 Time series models Mathematical analysis Noise Fourier analysis Mathematical physics Joseph Fourier Statistics Analysis Autoregressive integrated moving average Seasonality Recommender system Moving-average model