Titlebook: Analysis of Neural Data; Robert E. Kass,Uri T. Eden,Emery N. Brown Book 2014 Springer Science+Business Media New York 2014 Data Analysis f

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,Die Zusammenhangseigenschaften der R?ume,In Chapter?. we laid out the main ideas in assessing statistical significance. First, there is a null hypothesis; second, there is a statistic that defines some deviation away from a null model; third there is a .-value to judge the rarity of the observed deviation under the null hypothesis.

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https://doi.org/10.1007/978-3-658-35253-0Many experiments examine the effects of multiple experimental conditions. When each measured response from a subject is a single-number, the data are usually analyzed with. .

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Control of Luteinizing Hormone (LH)Few results are as consequential for data analysis as Bayes’ Theorem. The theorem itself, which we introduced in Sections?. and ., is a simple re-formulation of conditional probability and is easy to derive.

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Control of Luteinizing Hormone (LH)Much of this book has been devoted to describing relationships among multiple noisy variables, yet we have until now managed to avoid a general discussion of multivariate co-variation.

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Volkan Turan,Melis Bozan,Gurkan BozdagAt the beginning of this book, in Example?1.1 (p. 3), we described the activity of a neuron recorded from the supplementary eye field. Interpreting Fig.?. we said that, toward the end of each trial, the neuron fired more rapidly under one experimental condition than under the other.

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Exploring Data,Data analysis involves both manipulation, via formulas and computations, and interpretation of the results. During the period immediately following World War II, particularly in the United States, statistical theory was consumed with the logic of statistical inference and decision-making. Against this backdrop, John Tukey revolted.