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Data from R.A. Fisher, 1936, on the characteristics of 50 iris flowers of three species: iris setosa, iris versicolor and iris virginica. Four characteristics are recorded for each flower: sepal length, sepal width, petal width, and petal length.
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Data from Constructing Historical Euro-Zone Data, Economic Journal, 2001, 111:F102-F121. Quarterly, 1979q1 to 1999q4.
Persistent link: https://www.econbiz.de/10005027909
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Estimation of the I(2) cointegrated vector autoregressive (CVAR) model is considered. Without further restrictions, estimation of the I(1) model is by reduced-rank regression (Anderson (1951)). Maximum likelihood estimation of I(2) models, on the other hand, always requires iteration. This paper...
Persistent link: https://www.econbiz.de/10011654460
Persistent link: https://www.econbiz.de/10013459572
We present a new procedure for detecting multiple additive outliers in GARCH(1,1) models at unknown dates. The outlier candidates are the observations with the largest standardized residual. First, a likelihood-ratio based test determines the presence and timing of an outlier. Next, a second...
Persistent link: https://www.econbiz.de/10010325338
This paper provides some test cases, called circuits, for the evaluation of Gaussian likelihood maximization algorithms of the cointegrated vector autoregressive model. Both I(1) and I(2) models are considered. The performance of algorithms is compared first in terms of effectiveness, defined as...
Persistent link: https://www.econbiz.de/10011995197
To capture location shifts in the context of model selection, we propose selecting significant step indicators from a saturating set added to the union of all of the candidate variables. The null retention frequency and approximate non-centrality of a selection test are derived using a...
Persistent link: https://www.econbiz.de/10011755280
Estimation of the I(2) cointegrated vector autoregressive (CVAR) model is considered. Without further restrictions, estimation of the I(1) model is by reduced-rank regression (Anderson (1951)). Maximum likelihood estimation of I(2) models, on the other hand, always requires iteration. This paper...
Persistent link: https://www.econbiz.de/10011755375
Big Data offer potential benefits for statistical modelling, but confront problems including an excess of false positives, mistaking correlations for causes, ignoring sampling biases and selecting by inappropriate methods. We consider the many important requirements when searching for a...
Persistent link: https://www.econbiz.de/10011559165