<--- Back to Details
First PageDocument Content
Time series / Seasonal adjustment / Autoregressive integrated moving average / Long-range dependency / Forecasting / Cointegration / École Normale Supérieure de Cachan / Economic model / Time series analysis / Statistics / Seasonality
Time series
Seasonal adjustment
Autoregressive integrated moving average
Long-range dependency
Forecasting
Cointegration
École Normale Supérieure de Cachan
Economic model
Time series analysis
Statistics
Seasonality

Microsoft Word - Abstract_Eurostat2006.doc

Add to Reading List

Source URL: epp.eurostat.ec.europa.eu

Download Document from Source Website

File Size: 10,20 KB

Share Document on Facebook

Similar Documents

Digital media / World Wide Web / Computing / Social media / Web 2.0 / Twitter / Social networks / Text messaging / Hashtag / Trend / Google Search / Wikipedia

Analysis and Forecasting of Trending Topics in Online Media Streams Tim Althoff Damian Borth

DocID: 1xVN0 - View Document

Computing / Data synchronization / Replication / Confidentiality / Experiment / Knowledge / Information and communications technology / Information Age

An important note for Faculty, student RAs, and Technical Staff (e.g., lab managers or programmers) RE: confidentiality and information exposure There will be prediction markets operating in April forecasting th

DocID: 1xVwe - View Document

Economy / Supply chain management / Business / Contract law / Kitchen / Product return / Warranty / Inventory / Consumer electronics / Logistics / Forecasting

Reverse Logistics for Consumer Electronics: Forecasting Failures, Managing Inventory, and Matching Warranties by Andre du Pin Calmon Submitted to the Sloan School of Management

DocID: 1xTwd - View Document

Forecasting the Joint Distribution of Australian Electricity Prices using Dynamic Vine Copulae Hans Manner1 , Farzad Alavi Fard2 , Armin Pourkhanali,3 Laleh Tafakori4 June 1, 2017 Abstract

DocID: 1vnN6 - View Document

Demand Forecasting Automation Problem Statement Understanding the business need “We have no way of managing the backorder process or the purchasing of parts. We have stock for some parts that will cover two years wor

DocID: 1vmdu - View Document