Titlebook: Statistical Implicative Analysis; Theory and Applicati Régis Gras,Einoshin Suzuki,Filippo Spagnolo Book 2008 Springer-Verlag Berlin Heidelb

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Implications between learning outcomes in elementary bayesian inferencencepts and procedures after 12 hours of teaching elementary Bayesian inference. A questionnaire made up of 20 multiple choice items was used to assess learning of 78 psychology students. Results suggest four groups of interrelated concepts: conditional probability, logic of statistical inference, pr

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Statistical Implicative Analysis of DNA microarrayss an adaptation of the concept of intensity of implication. More specifically, we propose to study the rankings of observations instead of the measurements themselves. This method makes our analysis more robust and insensitive to any monotonic transformation of gene expression. We introduce the conc

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Pastry

Modelling by Statistic in Research of Mathematics Educationps between factorial and implicative analysis. This chapter consists of three parts. The first one deals with the didactic research and some fundamental tools: the . analysis of a didactic situation, the collection of experimental data and the statistic analysis of data. The purpose of the second an

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Didactics of Mathematics and Implicative Statistical Analysisysis. First we intend to show the reasons for this interest: implicative links that S.I.A. has pointed out may be interpreted as rules and regulations connecting actions, discourses, …, or as a group‘s characteristics. We develop some examples showing how S.I.A. can be used and what special research

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Using the Statistical Implicative Analysis for Elaborating Behavioral Referentialsical basis of those tools have all been validated, but very few of them have follow a deep statistical analysis. The PerformanSe Echo assessment tool is one of them. It gives the behavioral profile of a person along 10 bipolar dimensions. It has been validated on a population of 4538 subjects in 200