Stationarity - Samenvattingen, Aantekeningen en Examens

Op zoek naar een samenvatting over Stationarity? Op deze pagina vind je 24 samenvattingen over Stationarity.

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Samenvatting Markov Processen (FEB22008)
  • Samenvatting Markov Processen (FEB22008)

  • Samenvatting • 15 pagina's • 2022
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  • Uitgebreide samenvatting van Markov Processen (econometrie EUR)
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Test Bank for the course in finance Exam Questions and Answers 2022
  • Test Bank for the course in finance Exam Questions and Answers 2022

  • Tentamen (uitwerkingen) • 4 pagina's • 2022
  • Multiple Choice Test Bank Questions No Feedback – Chapter 7 Correct answers denoted by an asterisk. 1. Which of the following are probably valid criticisms of the Dickey Fuller methodology? (i) The tests have a unit root under the null hypothesis and this may not be rejected due to insufficient information in the sample (ii) the tests are poor at detecting a stationary process with a unit root close to the nonstationary boundary (iii) the tests are highly complex to calculate in practic...
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Summary - ARMA Basics Summary - ARMA Basics
  • Summary - ARMA Basics

  • Samenvatting • 11 pagina's • 2017
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  • This summary provides the basis for the ARMA models. It contains an explanation of the autocorrelation, White Noise, Partial Autocorrelation, Moving Average Model, Stationarity of the time series, weakly stationary, covariance stationary, model selection criteria, and how to interpret the graphs. This summary helps you go through material without watching again the lengthy web-lectures. I practically wrote down everything what he said. It helps also if you did not watch the weblecture, because ...
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Econometrics EC226
  • Econometrics EC226

  • Tentamen (uitwerkingen) • 34 pagina's • 2016
  • These are Econometric notes for a 2nd Year exam at Warwick. The notes cover the basis of Econometric analysis that you will need in the exam. Topics covered are: Omitted Relevant Variable, Incorrect Functional Form, Irrelevant Variables, Heteroscedasticity, Endogeneity, Error in Variables, Multicollinearity, Logit and Probit Models, Time series models, Serial Correlation, Non stationarity, Co-integration, and Panel Data. All topics come complete with Theory and examples to get a complete underst...
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