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Simultaneous Statistical Inference With Applications in the Life Sciences /

This monograph will provide an in-depth mathematical treatment of modern multiple test procedures controlling the false discovery rate (FDR) and related error measures, particularly addressing applications to fields such as genetics, proteomics, neuroscience and general biology. The book will also i...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dickhaus, Thorsten (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Simultaneous Statistical Inference  |h [electronic resource] :  |b With Applications in the Life Sciences /  |c by Thorsten Dickhaus. 
250 |a 1st ed. 2014. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2014. 
300 |a XIV, 180 p. 19 illus., 10 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a The problem of simultaneous inference -- Part I General Theory -- Some theory of p-values -- Classes of multiple test procedures -- Simultaneous test procedures -- Stepwise rejective multiple tests -- Multiple testing and binary classification -- Multiple testing and model selection -- Software solutions for multiple hypotheses testing -- Part II From Genotype to Phenotype -- Genetic association studies -- Gene expression analyses -- Functional magnetic resonance imaging -- Part III Further Applications in the Life Sciences -- Further life science applications. 
520 |a This monograph will provide an in-depth mathematical treatment of modern multiple test procedures controlling the false discovery rate (FDR) and related error measures, particularly addressing applications to fields such as genetics, proteomics, neuroscience and general biology. The book will also include a detailed description how to implement these methods in practice. Moreover, new developments focusing on non-standard assumptions are also included, especially multiple tests for discrete data. The book primarily addresses researchers and practitioners but will also be beneficial for graduate students. 
650 0 |a Biometry. 
650 0 |a Statistics . 
650 0 |a Biomathematics. 
650 0 |a Data mining. 
650 0 |a Biomedical engineering. 
650 1 4 |a Biostatistics. 
650 2 4 |a Statistical Theory and Methods. 
650 2 4 |a Mathematical and Computational Biology. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Biomedical Engineering and Bioengineering. 
710 2 |a SpringerLink (Online service) 
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950 |a Biomedical and Life Sciences (SpringerNature-11642) 
950 |a Biomedical and Life Sciences (R0) (SpringerNature-43708)