PPT-Time series and error analysis

M A Floyd Massachusetts Institute of Technology Cambridge MA USA GPS Data Processing and Analysis with GAMITGLOBK Earth Observatory of Singapore 1721 July 2017 http geowebmitedu. 1 02 03 04 05 06 07 08 09 1 Measured Value of x Fraction of Total Measurements SD 01 SD 02 SD 03 brPage 5br mean standard deviation histogram Figure 3 Mass of Unknown Sample 102 104 106 108 11 112 114 116 118 12 Mass kg of Measurements brPage 6br Basic time series. Data on the outcome of a variable or variables in different time periods are known as time-series data.. Time-series data are prevalent in finance and can be particularly challenging because. -- An Introduction --. 1. AMS . 586. Objectives of time series analysis. Data description. Data interpretation. Modeling. Control. Prediction & Forecasting. 2. Time-Series Data. Numerical data obtained at regular time intervals. Introduction to Time Series Analysis. A . time-series. is a set of observations on a quantitative variable collected over time.. Examples. Dow Jones Industrial Averages. Historical data on sales, inventory, customer counts, interest rates, costs, etc. More Practice. Lab Report Debrief. Overall, quality of lab reports was . Problems. Quad beam balances can measure . +-. 0.001 g. . Calculations…Show Them. Percent of . NaCl. . First write the equation you are using!. Suman Jana. 1. , . Yuan Kang. 1. , Samuel Roth. 2. , Baishakhi Ray. 3. 1. Columbia University. 2. Ohio Northern University. 3. University of Virginia. Incorrect error handling. : a major source. . of. analysis . M. . A. Floyd. Massachusetts Institute of Technology, Cambridge, MA, USA. School of Earth . Sciences, University of Bristol. United Kingdom. 2–5 May 2017. Material from T. A. Herring, R. W. King, M. A. Floyd (MIT) and S. C. . Class II. "The purpose of computing is insight, not numbers", R. H. Hamming. . Last time:. We discussed what the course is and is not. The place of computational science among other sciences. Class web site, computer setup, etc. . Suman Jana. 1. , . Yuan Kang. 1. , Samuel Roth. 2. , Baishakhi Ray. 3. 1. Columbia University. 2. Ohio Northern University. 3. University of Virginia. Incorrect error handling. : a major source. . of. Data . Mining Algorithm. Peter Myers. Bitwise Solutions Pty Ltd. DBI-B326. Presenter Introduction. Peter Myers. BI Expert, Bitwise Solutions Pty Ltd. BBus. , SQL Server MCSE, MCT, SQL Server MVP (since 2007). STEADY-STATE ERROR. The difference between the output and the reference in the steady state was defined as the steady-state error.. In the real world, because of friction and other imperfections and the natural composition of the system, the steady state of the output response seldom agrees exactly with the reference. . Introduction. All transmitted signals will contain some rate of error (>0%). Popular error control methods include:. Parity bits (add a 1 or 0 to the end of each seven bits). Longitudinal redundancy checking (LRC). Highline Class, BI 348 Basic Business Analytics using Excel Chapter 05: Introduction to Basic Time Series Analysis and Forecasting 1 Topics Covered: Terms: Time Series and Forecast Time Series Patterns Chapter 18. Learning Objectives. LO18-1. Define and describe the components of a time series.. LO18-2. Smooth a time series by computing a moving average.. LO18-3. Smooth a time series by computing a weighted moving average..