A hypothesis test is a statistical procedure to take a decision between two assumptions from results of a sample.
To perform a hypothesis test, we have two possibilities; tests known as traditional and tests known as of permutations.
In the first part of this memory, we will describe these two methods for then comparing them through various applications.
In the second part, we will introduce the Hypervolumes clustering method and the Hypervolumes test for the number of clusters. To finish we will apply the permutation test in order to compute a p-value for the Hypervolumes test.
Date of Award | 27 Jun 2006 |
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Original language | French |
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Supervisor | Andre Hardy (Supervisor), Marcel Remon (Jury) & Jean Paul Rasson (Jury) |
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Test de permutations et application au test des Hypervolumes
Blasutig, L. (Author). 27 Jun 2006
Student thesis: Master types › Master in Mathematics