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Obtenir le résultat Generalized Linear Mixed Models: Modern Concepts, Methods and Applications (Chapman & Hall/CRC Texts in Statistical Science) (English Edition) PDF

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications (Chapman & Hall/CRC Texts in Statistical Science) (English Edition)
TitreGeneralized Linear Mixed Models: Modern Concepts, Methods and Applications (Chapman & Hall/CRC Texts in Statistical Science) (English Edition)
Libéré3 years 10 months 17 days ago
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Des pages187 Pages
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Generalized Linear Mixed Models: Modern Concepts, Methods and Applications (Chapman & Hall/CRC Texts in Statistical Science) (English Edition)

Catégorie: Bandes dessinées, Érotisme
Auteur: Malcolm Gladwell
Éditeur: Elisabet Benavent
Publié: 2017-10-22
Écrivain: Charlotte Fiell
Langue: Grec ancien, Albanais, Sanskrit, Coréen, Hongrois
Format: epub, eBook Kindle
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Central limit theorem - Wikipedia - In probability theory, the central limit theorem (CLT) establishes that, in many situations, when independent random variables are summed up, their properly normalized sum tends toward a normal distribution (informally a bell curve) even if the original variables themselves are not normally theorem is a key concept in probability theory because it implies that probabilistic and ...
Matrix (mathematics) - Wikipedia - In mathematics, a matrix (plural matrices) is a rectangular array or table of numbers, symbols, or expressions, arranged in rows and columns, which is used to represent a mathematical object or a property of such an object. For example, []is a matrix with two rows and three columns; one say often a "two by three matrix", a "2×3-matrix", or a matrix of dimension 2×3.
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Alan Agresti Personal Home Page - University of Florida - The book also introduces modern topics that do not normally appear in mathematical statistics texts but are highly relevant for data scientists, such as Bayesian inference, generalized linear models for non-normal responses (, logistic regression and Poisson loglinear models), and regularized model fitting. It contains nearly 500 exercises. The book's website has expanded R, Python, and ...
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