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algorithm makes it possible to carry out some simulation tests by Monte Carlo methods in order to study the efficiency and …
Persistent link: https://www.econbiz.de/10005772231
When the behaviour of a specific hypothesis test statistic is studied by a Monte Carlo experiment, the usual way to describe its quality is by giving the empirical level of the test. As an alternative to this procedure, we use the empirical distribution of the obtained \emph{p-}values and...
Persistent link: https://www.econbiz.de/10005827484
it progressively until I approximate a standard (nonlinear) neoclassical growth model. I then use simulation techniques …
Persistent link: https://www.econbiz.de/10005772026
reference to the issue of testing ``false'' economic models. We provide an overview of the most recent simulation … general equilibrium models. We illustrate how simulation--based techniques can be used to formally evaluate the fit of a …
Persistent link: https://www.econbiz.de/10005248461
The case of two transition tables is considered, that is two square asymmetric matrices of frequencies where the rows and columns of the matrices are the same objects observed at three different time points. Different ways of visualizing the tables, either separately or jointly, are examined. We...
Persistent link: https://www.econbiz.de/10005827504
Dual scaling of a subjects-by-objects table of dominance data (preferences, paired comparisons and successive categories data) has been contrasted with correspondence analysis, as if the two techniques were somehow different. In this note we show that dual scaling of dominance data is equivalent...
Persistent link: https://www.econbiz.de/10005827514
The generalization of simple correspondence analysis, for two categorical variables, to multiple correspondence analysis where they may be three or more variables, is not straighforward, both from a mathematical and computational point of view. In this paper we detail the exact computational...
Persistent link: https://www.econbiz.de/10005827533
Hierarchical clustering is a popular method for finding structure in multivariate data, resulting in a binary tree constructed on the particular objects of the study, usually sampling units. The user faces the decision where to cut the binary tree in order to determine the number of clusters to...
Persistent link: https://www.econbiz.de/10009002566
Correspondence analysis, when used to visualize relationships in a table of counts (for example, abundance data in ecology), has been frequently criticized as being too sensitive to objects (for example, species) that occur with very low frequency or in very few samples. In this statistical...
Persistent link: https://www.econbiz.de/10009323414
We construct a weighted Euclidean distance that approximates any distance or dissimilarity measure between individuals that is based on a rectangular cases-by-variables data matrix. In contrast to regular multidimensional scaling methods for dissimilarity data, the method leads to biplots of...
Persistent link: https://www.econbiz.de/10010849612