'Time series analysis' presentation slideshows

Time Series Analysis

Time Series Analysis. What is Time Series Analysis? The analysis of data organized across units of time. Time series is a basic research design Data for one or more variables is collected for many observations at different time periods Usually regularly spaced May be either

7.16k views • 85 slides

Evaluating the performance of clustering using different inputs and algorithms to group children based on early childhoo

Evaluating the performance of clustering using different inputs and algorithms to group children based on early childhood growth patterns . September 20, 2012. Jobayer Hossain, Ph.D. Tim Wysocki, Ph.D. Samuel S. Gidding, MD MingXing Gong, M.Sc. H. Timothy Bunnell, Ph.D.

505 views • 49 slides

Today we are going back in time to help us predict the future!!!

Today we are going back in time to help us predict the future!!!. Time Series Analysis. The End Result . . . . Lesson Objectives. To understand what Time Series Analysis is To be able to calculate Moving Averages To be able to calculate Variations

473 views • 40 slides

Regulatory and Air Quality Implications of Setting Particle Number Standards

Regulatory and Air Quality Implications of Setting Particle Number Standards. Roy M. Harrison University of Birmingham and National Centre for Atmospheric Science. CONTENT. Particle size distributions and the meaning of particle number concentration

448 views • 35 slides

Regulatory and Air Quality Implications of Setting Particle Number Standards

Regulatory and Air Quality Implications of Setting Particle Number Standards. Roy M. Harrison University of Birmingham and National Centre for Atmospheric Science. CONTENT. Particle size distributions and the meaning of particle number concentration

438 views • 35 slides

Using wavelet tools to estimate and assess trends in atmospheric data Peter Guttorp University of Washington peter@stat.

NRCSE. Using wavelet tools to estimate and assess trends in atmospheric data Peter Guttorp University of Washington peter@stat.washington.edu. Collaborators. Don Percival Chris Bretherton Peter Craigmile Charlie Cornish. Outline. Basic wavelet theory Long term memory processes

525 views • 33 slides

The Synchronized Predeployment and Operational Tracker Enterprise Suite ( SPOT ES)

The Synchronized Predeployment and Operational Tracker Enterprise Suite ( SPOT ES) . Overview. SPOT ES and Operations SPOT ES an Evolving Tool For The Future SPOT ES and Policy SPOT ES Phases SPOT ES Access and Capabilities JAMMS TOPSS SPOT ES Integration

636 views • 33 slides

AGEC 622

AGEC 622. How do you make plans? Do you list all of the possible outcomes and their consequences? Do you think about probabilities for each possible outcome? Do you fixate on the outcome you want? Do you just go through life without planning ? How do you make decisions?

466 views • 30 slides

Forecasting Engine

Forecasting Engine. Project Members Kaushal Mittal Abhishek Seth Amar Agrawal Guide: Prof. Bernard Menezes Pankaj Gulhane Kalam Shah. Problem Definition.

486 views • 27 slides

Spreadsheet Modeling & Decision Analysis

Spreadsheet Modeling & Decision Analysis. A Practical Introduction to Management Science 5 th edition Cliff T. Ragsdale. Chapter 1. Introduction to Modeling & Problem Solving. Introduction. We face numerous decisions in life & business.

427 views • 24 slides

Sales Management 8

Sales Management 8. Estimating Demand. Market Potential. Sales. Industry Forecast. (Industry Forecast ? Market Potential). (Company Forecast ? Company Potential). Company Potential. Company Forecast. 0. Time. Key Terms. Market Potential: All possible sales

416 views • 24 slides

ECE 7251: Signal Detection and Estimation

ECE 7251: Signal Detection and Estimation . Spring 2004 Prof. Aaron Lanterman Georgia Institute of Technology Lecture 1, 1/5/04: Introduction. What is ECE7251 About? . Goal: Suck useful information out of messy data

891 views • 23 slides

Commodities Futures Price Prediction An Artificial Intelligence Approach

534 views • 22 slides

Sales Management 8

Sales Management 8. Estimating Demand. Market Potential. Sales. Industry Forecast. (Industry Forecast ? Market Potential). (Company Forecast ? Company Potential). Company Potential. Company Forecast. 0. Time. Key Terms. Market Potential: All possible ______

311 views • 18 slides

F84K 35 Statistics for Business

F84K 35 Statistics for Business. Modifications (2014). Statistics for Business. F84K 35 SCQF Level 8 Various Business, Accounting, Finance and Management HN frameworks Has existed in various forms over the years. History of Statistics for Business. DE3M 35 (2003-12) Lapsed

382 views • 15 slides

ARIMA

ARIMA. Using Stata. Time Series Analysis. Stochastic Data Generating Process Stable and Stationary Process Autoregressive Process: AR(p) Moving Average Process: MA(q) ARMA(p,q) Integrated Nonstationary Process ARIMA(p,d,q). AR(p). MA(q). ARMA(p,q). Time Series Analysis.

937 views • 14 slides

Time Series Analysis

Time Series Analysis. Whiteside. Pupose. To identify the components of variation in the time series Components Secular trend Cyclical variation Seasonal variation Residual or error variation. Secular trend. Over the long term, is the series changing on average

322 views • 10 slides

Business Mathematics and Statistics

Business Mathematics and Statistics. Nishantha Palihawadana. Time Series Analysis. Definition of Time Series : An ordered sequence of values of a variable at equally spaced time intervals . The variable shall be time dependent. Applications :.

424 views • 9 slides

Econometric Analysis Using Stata

485 views • 7 slides

Predicting Future

Predicting Future. Two Approaches to Predition. Extrapolation: Use past experiences for predicting future. One looks for patterns over time. Predictive models: Observed relationship between dependent and independent factors. Goodness of fit: estimated by analysis of residuals. .

236 views • 6 slides