000 02903nam a22005055i 4500
001 978-3-642-45182-9
003 DE-He213
005 20140220082522.0
007 cr nn 008mamaa
008 140123s2014 gw | s |||| 0|eng d
020 _a9783642451829
_9978-3-642-45182-9
024 7 _a10.1007/978-3-642-45182-9
_2doi
050 4 _aQH323.5
072 7 _aPSA
_2bicssc
072 7 _aSCI086000
_2bisacsh
072 7 _aMED090000
_2bisacsh
082 0 4 _a570.15195
_223
100 1 _aDickhaus, Thorsten.
_eauthor.
245 1 0 _aSimultaneous Statistical Inference
_h[electronic resource] :
_bWith Applications in the Life Sciences /
_cby Thorsten Dickhaus.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aXIV, 180 p. 19 illus., 10 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aThe 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 _aThis 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 _aLife sciences.
650 0 _aData mining.
650 0 _aStatistical methods.
650 0 _aMathematical statistics.
650 0 _aBiomedical engineering.
650 1 4 _aLife Sciences.
650 2 4 _aBiostatistics.
650 2 4 _aStatistical Theory and Methods.
650 2 4 _aMathematical and Computational Biology.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aBiomedical Engineering.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642451812
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-45182-9
912 _aZDB-2-SBL
999 _c93529
_d93529