Simultaneous Statistical Inference: With Applications in the Life Sciences
Autor Thorsten Dickhausen Limba Engleză Hardback – 5 feb 2014
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Specificații
ISBN-13: 9783642451812
ISBN-10: 3642451810
Pagini: 196
Ilustrații: XIV, 180 p. 19 illus., 10 illus. in color.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.45 kg
Ediția:2014
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642451810
Pagini: 196
Ilustrații: XIV, 180 p. 19 illus., 10 illus. in color.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.45 kg
Ediția:2014
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.
Recenzii
“Thorsten Dickhaus’ Simultaneous StatisticalInference is without a doubt the most thorough yet concise roundup ofmultiple-test procedures that has come out in many years. … It is all the moreworthwhile reading for statistical researchers, who will be guided through themaze of multiple-testing approaches that have accumulated over the pastdecades. … a rich source of inspiration for anyone who has some mathematicalbackground and seeks a deep understanding of state-of-the-art simultaneousinference.” (Philip Pallmann, Biometrical Journal, Vol. 57 (6), 2015)
Textul de pe ultima copertă
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.
Caracteristici
Concise treatment of theoretical and practical properties of the false discovery rate (FDR) Detailed examples from the life sciences, accompanied by software solutions Includes latest developments of simultaneous statistical inference methods for a variety of non-standard situations Includes supplementary material: sn.pub/extras