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French version |
The issues from 1 to 148 are also available on line at NUMDAM and at Revues.org for the following issues |
- Results for criterions:
- Topic: Statistics
Results n° 9 to 16 of 260 matches
Previous page << . 1 . 2 . 3 . 4 . 5 . 6 . 7 . 8 . 9 . 10 . 11 . 12 . 13 . 14 . 15 . 16 . 17 . 18 . 19 . 20 . 21 . 22 . 23 . 24 . 25 . 26 . 27 . 28 . 29 . 30 . 31 . 32 . 33 . >> Next page
| Title | Marion Selz et Florence Maillochon, Le raisonnement statistique en sociologie, Paris, Presses Universitaires de France, série Licence (Socio), 2009, 313 pages. |
| Author | BARBUT Marc |
| Keywords | None |
| Topics | Book review, Pedagogy, Sociology, Statistics |
| Abstract | Book review |
| Number | 188, Winter 2009 |
| Language | French |
| Title | Mayer's fitting method and its links to clustering methods |
| Author | FALGUEROLLES Antoine |
| Keywords | Classification, History of statistics, Mayer's method of averages, multiple linear regression, Régnier's transfer algorithm |
| Topics | Classification - Clustering - Partitioning, History of Statistics, Statistics |
| Abstract | The simple case of Mayer's straight line fitting, which was taught in French secondary schools some years ago, was introduced in some curricula as a surrogate to least-squares. It turns out that the procedure thus proposed to secondary school students provides a basic example of a regression tree. It also turns out, in the general case, that it is a clustering problem for which Régnier's transfer algorithm [1965] is well suited, albeit possibly suboptimal. The famous example of fitting which Mayer treated in 1750 by an innovative and general method is revisited in the light of standard present-day statistical methods. The numerical results show the outstanding expertise of Mayer. |
| Number | 187, Fall 2009, special issue: 2007 Meeting of the French-speaking Society of Classification |
| Language | French |
| Title | Comparing various approaches of supervised evaluation |
| Author | FERRANDIZ Sylvain |
| Keywords | Bayesianism, Description length, Nearest neighbor, Structural risk, Supervised classification |
| Topics | Classification - Clustering - Partitioning, Statistics, Test |
| Abstract | Instance selection for the nearest neighbor rule is a classical topic in statistical learning. Within the context of hypothesis selection, the characteristics of this problem is that: the set of hypotheses is structured and depends on the data. We thus propose specific nonparametric criteria. We aim at comparing sets of instances of varying size without introducing an extra parameter. Balancing approaches give tools to solve this problem. Three approaches are considered successively : the SRM (standing for Structural Risk Minimization) approach, the BIC (standing for Bayesian Information Criterion) approach end the MDL (standing for Minimum Description Length) approach. The exploration of each one leads to the definition of a regularized criterion. Each criterion permits the comparison of sets of instances of various size. Each criterion is nonparametric. We make use of real and synthetic datasets to prove the following point: the MDL criterion is finer than the BIC criterion which, in turn, is finer than the SRM criterion. |
| Number | 187, Fall 2009, special issue: 2007 Meeting of the French-speaking Society of Classification |
| Language | French |
| Title | A new clustering method for interval data |
| Author | HARDY André, KASORO Nathanael |
| Keywords | Clustering, Decision tree, Hypervolumes criterion, Maximum likelihood, Poisson Process |
| Topics | Classification - Clustering - Partitioning, Statistics, Trees |
| Abstract | This paper presents a new clustering method for interval data. It is an extension of a classical clustering method to interval data. The classical procedure is based on the theory of point processes, and more particularly on the homogeneous Poisson process. The first part of the new method is a monothetic divisive procedure. The cut rule is an extension to interval data of the Hypervolumes clustering criterion. The pruning step uses two statistical likelihood ratio tests based on the homogeneous Poisson process: the Hypervolumes test and the Gap test. The output is a decision tree. The second part of the method is a merging process, that allows in particular cases to improve the classification obtained at the end of the first part of the algorithm. The method is applied to a generated data set and to a real data set. It is compared with other clustering methods available for interval data. |
| Number | 187, Fall 2009, special issue: 2007 Meeting of the French-speaking Society of Classification |
| Language | French |
| Title | A Different Approach of Multiple Correspondence Analysis (MCA) than this of Specific MCA |
| Author | MOSCHIDIS Odysseas E. |
| Keywords | Adjustement coefficient, Multiple correspondence analysis, New metric, Specific multiple correspondence analysis |
| Topics | Data Analysis, Metric, Statistics |
| Abstract | In multiple correspondence analysis, each nominal variable affects the analysis with a different amount of inertia, depending on the number of its modalities or categories. Usually in variables with many modalities - categories created infrequent (weak classes) modalities which contribute disproportionally to the inertia of the corresponding variable. Often these modalities contribute heavily to the determination of the first factorial axes and as a result this can not clearly represent the investigated problem. Specific multiple correspondence analysis deals with the problem of infrequent (weak) modalities by removing them. That is, it simply ignores them in the calculation of distances between individuals [Le Roux B., 1999, 2004]. In this paper we deal with this problem in a different manner. We keep the weak modalities in the analysis. Replacing the metric Khi2 by a new metric which also takes into account the number of modalities of each variable, a reasonable effect of the weak modalities and a balancing of all the nominal variables is achieved in the analysis. We also encounter uniformly the weak modalities, whether they derive from many or few variables, even though the most «dangerous» case is the one variables where have many modalities. Only variables of two modalities are not affected. |
| Number | 186, Summer 2009 |
| Language |  English |
| Title | Jesus Basulto Santos et Juan José Gardia de Hoyo (eds), Historia de la probabilidad y la estadistica (IV), Universidad de Huelva publicaciones, 2009, 448 pages. |
| Author | BARBUT Marc |
| Keywords | None |
| Topics | Book review, History of Mathematics, Probabilities, Statistics |
| Abstract | Book review |
| Number | 186, Summer 2009 |
| Language | French |
| Title | Bernard Delmas, Statistique descriptive pour l'économie et la gestion, Presses Universitaires du Septentrion, Lille, 2009, 290 pages. |
| Author | BARBUT Marc |
| Keywords | None |
| Topics | Book review, Economy - Econometrics, Pedagogy, Statistics |
| Abstract | Book review |
| Number | 186, Summer 2009 |
| Language | French |
| Title | Failure of an election is scientifically predictable! |
| Author | FANSTEN Michel |
| Keywords | Abstention, Balance of power, Clarity, Election, Homogeneous electorate, Proximity |
| Topics | Data Analysis, Decision Theory, Statistics, Voting |
| Abstract | Election behaviour, as represented in this paper, starts from a double hypothesis: given the choice of several candidates, a person will vote for the one he considers to be the closest to his or her views; within a homogeneous electorate, the factor of proximity is thus introduced according to simple statistical laws. The present article demonstrates some of the applications of mathematical formulae obtained in the case in which voters have a choice between two options or two candidates as illustrated by the recent elections in France. They basically show that voters are all the less motivated when the choices are not clearly defined, or when their favourite candidate's side is divided. In the situation where the forces of power are more or less equal, it is the greater abstention on one side that will be the determining factor for election results. |
| Number | 185, Spring 2009 |
| Language | French |
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