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【10000论坛币有奖征集】NetCourse461 [推广有奖]

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dxystata 发表于 2009-9-14 14:01:45 |AI写论文

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NCNow461, Introduction to Univariate Time Series with Stata

Course content Lecture 1: Introduction
  • Time-series data in Stata
    • Working with dates
    • Time-series operators
  • Drawing graphs
  • Simple smoothers and forecasting techniques
    • Moving averages
    • Exponential smoothers
    • Holt–Winters forecasting
Lecture 2: Descriptive analysis of time series
  • The nature of time series
    • Autocorrelation
    • White noise
    • Stationarity
  • Time-series processes
    • Moving average (MA)
    • Autoregressive (AR)
    • Mixed autoregressive moving average (ARMA)
  • The sample autocorrelation and partial autocorrelation functions
  • Introduction to spectral analysis—the periodogram
Lecture 3: Forecasting II: ARIMA and ARMAX models
  • Basic ARIMA models
    • Using ARMA processes to model series
    • Choosing the number of AR and MA terms
    • Selecting the best model from information criteria
  • Forecasting
  • Seasonal ARIMA models
  • Models with exogenous regressors—ARMAX models
  • A brief tour of intervention analysis
    • Additive outliers
    • Level shifts
Lecture 4: Regression analysis of time-series data
  • Autocorrelation
    • Testing for autocorrelation
    • Obtaining Newey–West standard errors
    • More on ARMAX models
  • Seasonal effects
  • Nonstationarity and unit-root tests
  • Heteroskedasticity in time series
    • Autoregressive conditional heteroskedasticity (ARCH) models
    • Generalized ARCH (GARCH) models and extensions
    • Testing for ARCH effects
The previous four lectures constitute the core material of the course. The following lecture is optional and introduces Stata's multivariate time-series capabilities.
Bonus lecture: Overview of multivariate time-series analysis using Stata
  • Vector autoregressive (VAR) models
    • Estimating VAR models
    • Impulse–response analysis
    • Forecasting
  • Structural VARs
  • Cointegration
    • Testing for cointegration
    • Vector error-correction (VEC) models

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关键词:NetCourse Course 0论坛币 NET Urs 征集

沙发
foxli 发表于 2009-9-14 14:03:50
真的假的,这么多米
[img][/img][img][img][img][/img][/img][/img]

藤椅
dxystata 发表于 2009-9-14 18:29:41
foxli 发表于 2009-9-14 14:03
真的假的,这么多米
当然是真的!

板凳
kkwei 发表于 2009-9-15 10:34:27
同求,但是好像希望不是很大

报纸
lyngqng 发表于 2011-8-26 12:45:12
who is the speaker? any ideas?

地板
dxystata 发表于 2011-8-27 07:09:47
lyngqng 发表于 2011-8-26 12:45
who is the speaker? any ideas?
http://www.stata.com/netcourse/nc461.html

7
caoqiang06 发表于 2012-3-24 23:02:42
搞这个是干什么的?简单说说
多做学术

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