This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,450grams, ISBN:9783319385372.

N� de ref. del art�culo 9281937

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Detalles bibliogr�ficos

T�tulo

Advances in Complex Data Modeling and Computational Methods in Statistics (Contributions to Statistics)

Editor

Springer

Fecha de publicaci�n

2015

Idioma

Ingl�s

ISBN 10

3319385372

ISBN 13

9783319385372

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

Good

Peso

450 gramos

Cat�logos de vendedores

Mathematics

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Sinopsis

The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational risk; statistical methods for research on the human genome dynamics; inference in non-euclidean settings and for shape data; Bayesian methods for reliability and the analysis of complex data; methodological issues in using administrative data for clinical and epidemiological research; regression models with differential regularization; geostatistical methods for mobility analysis through mobile phone data exploration. This volume is the result of a careful selection among the contributions presented at the conference "S.Co.2013: Complex data modeling and computationally intensive methods for estimation and prediction" held at the Politecnico di Milano, 2013. All the papers published here have been rigorously peer-reviewed.

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"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

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