<--- Back to Details
First PageDocument Content
Statistical inference / Data analysis / Signal processing / Estimator / Seasonal adjustment / Variance / Mean squared error / Standard deviation / Bias of an estimator / Statistics / Time series analysis / Estimation theory
Date: 2002-03-26 10:38:07
Statistical inference
Data analysis
Signal processing
Estimator
Seasonal adjustment
Variance
Mean squared error
Standard deviation
Bias of an estimator
Statistics
Time series analysis
Estimation theory

Add to Reading List

Source URL: www.federalreserve.gov

Download Document from Source Website

File Size: 134,23 KB

Share Document on Facebook

Similar Documents

Computational linguistics / Linguistics / Corpus linguistics / Artificial intelligence / Statistical natural language processing / Speech recognition / Applied linguistics / Natural language processing / Topic model / N-gram / Time series

Time Series Analysis Using NOC Noriaki Kawamae The University of Tokyo 7 Chome-3-1 Hongo, Bunkyo, Tokyo, Japan Japan

DocID: 1xUF7 - View Document

Advanced time-series analysis (University of Lund, Economic History Department) 30 Jan-3 February andMarch 2012 Lecture 9 Vector Autoregression (VAR) techniques: motivation and applications. Estimation procedure.

DocID: 1vpu3 - View Document

Advanced time-series analysis (University of Lund, Economic History Department) 30 Jan-3 February andMarch 2012 Lecture 3 Monte Carlo simulations and Bootstrapping. 3.a. What is a Monte Carlo simulation? Imagine y

DocID: 1vmAI - View Document

Lecture 4: Video Applications Topological Time Series Analysis - Theory And Practice Jose Perea, Michigan State University. Chris Tralie, Duke University

DocID: 1vlto - View Document

Nonlinear Analysis: Modelling and Control, 2012, Vol. 17, No. 1, 27–Adapted SETAR model for Lithuanian HCPI time series Nomeda Bratˇcikovien˙e

DocID: 1vlqw - View Document