LEADER 02944nam 22006135 450 001 9910495174303321 005 20250324063729.0 010 $a9783030734800 010 $a3030734803 024 7 $a10.1007/978-3-030-73480-0 035 $a(CKB)4100000011996289 035 $a(DE-He213)978-3-030-73480-0 035 $a(MiAaPQ)EBC6696319 035 $a(Au-PeEL)EBL6696319 035 $a(OCoLC)1263871908 035 $a(PPN)257355782 035 $a(EXLCZ)994100000011996289 100 $a20210810d2021 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBootstrap Methods $eWith Applications in R /$fby Gerhard Dikta, Marsel Scheer 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (XVI, 256 p. 36 illus., 29 illus. in color.) 311 08$a9783030734794 311 08$a303073479X 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Generating random numbers -- The classical bootstrap -- Bootstrap based tests -- Regression analysis -- Goodness of fit test for generalized linear models -- boot package -- s i mTool package -- boot GOF package -- Session Info -- Notation and References -- Index. 330 $aThis book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to validate model or distributional assumptions. In some cases, new methods are presented here for the first time. The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics. 606 $aStatistics 606 $aBiometry 606 $aBioinformatics 606 $aStatistical Theory and Methods 606 $aBiostatistics 606 $aBioinformatics 615 0$aStatistics. 615 0$aBiometry. 615 0$aBioinformatics. 615 14$aStatistical Theory and Methods. 615 24$aBiostatistics. 615 24$aBioinformatics. 676 $a519.502855133 700 $aDikta$b Gerhard$f1955-$01222488 702 $aScheer$b Marsel 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910495174303321 996 $aBootstrap methods$92835270 997 $aUNINA