Stata files used to construct lecture examples

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Date: 2012-12-05 20:55:30 Econometrics Regression analysis Stochastic processes Correlogram Autocorrelation Distributed lag Moving-average model Lag operator Linear regression Statistics Time series analysis Noise		Stata files used to construct lecture examples Add to Reading List Source URL: melbourneinstitute.com Download Document from Source Website File Size: 157,34 KB Share Document on Facebook

	doi:rspb DocID: 1n34M - View Document
	Applying GLM Model and ARIMA Model to the Analysis Of Monthly Temperature of Stockholm Author: Xier Li Supervisor: Mikael Möller DocID: 1gE4N - View Document
	Periodogram and Correlogram Methods Lecture 2 DocID: 1f1jr - View Document
	Nina Siu-Ngan Lam, Ming Fan, and Kam-biu Liu Spatial- Temporal Spread of the AIDS Epidemic, : A Correlogram Analysis of Four Regions of the United States DocID: 1cMfz - View Document
	0.1 ARIMA: ARIMA Models for Time Series Data Use auto-regressive, integrated, moving-average (ARIMA) models for time series data. A time series is a set of observations ordered according to the time they were observed. DocID: 1aR6o - View Document