Titlebook: Introduction to Biometry; Pierre Jolicoeur Book 1999 Springer Science+Business Media New York 1999 ANOVA.Fisher‘s linear discriminant.Norm

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,The analysis of variance or “ANOVA” (one-way, type I),number of groups (Figure 12.1.1). Besides breaking up and drawing out the analysis, this would also increase the probability of rejecting erroneously at least once the hypothesis that parametric means are equal. In fact, if ten statistical conclusions are drawn at significance level α, the probabili

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The skewness and peakedness indices, ,, and g,, be used to test that normality assumption. While the agreement between the frequency distribution of a set of data and a theoretical distribution (such as the normal distribution) can also be checked through tests of goodness of fit (chapter 16), the latter require a large sample (containing prefer

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GIBE

The Poisson distribution,ok published in 1837. The Poisson distribution is a particular case of the binomial distribution (chapter 17) where the probability . becomes smaller and smaller . 0) while the exponent . becomes larger and larger ... in such a way that their product, the mean, μ= ., keeps a finite value (0 < μ = .

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