LEADER 05635nam 2200733 450 001 9910810818703321 005 20231110224846.0 010 $a1-118-62541-2 010 $a1-118-62545-5 035 $a(CKB)3460000000120735 035 $a(EBL)1771575 035 $a(SSID)ssj0000719792 035 $a(PQKBManifestationID)12297401 035 $a(PQKBTitleCode)TC0000719792 035 $a(PQKBWorkID)10660251 035 $a(PQKB)10015253 035 $a(Au-PeEL)EBL1771575 035 $a(CaPaEBR)ebr10915823 035 $a(CaONFJC)MIL639080 035 $a(OCoLC)889674830 035 $a(Au-PeEL)EBL7103888 035 $a(CaSebORM)9780470467046 035 $a(MiAaPQ)EBC1771575 035 $a(MiAaPQ)EBC7103888 035 $a(EXLCZ)993460000000120735 100 $a20140902h20112011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 13$aAn introduction to bootstrap methods with applications to R /$fMichael R. Chernick, Robert A. LaBudde 205 $a1st edition 210 1$aHoboken, New Jersey :$cWiley,$d2011. 210 4$d2011 215 $a1 online resource (236 p.) 225 1 $aNew York Academy of Sciences 300 $aDescription based upon print version of record. 311 $a1-322-07829-7 311 $a0-470-46704-5 320 $aIncludes bibliographical references and index. 327 $aCover ; Title Page ; Copyright ; Contents ; Preface ; Acknowledgments ; List of Tables ; 1: INTRODUCTION ; 1.1 Historical Background ; 1.2 Definition and Relationship to the Delta Method and Other Resampling Methods ; 1.2.1 Jackknife ; 1.2.2 Delta Method ; 1.2.3 Cross Validation ; 1.2.4 Subsampling ; 1.3 Wide Range of Applications ; 1.4 The Bootstrap and the R Language System ; 1.5 Historical Notes ; 1.6 Exercises ; References ; 2: ESTIMATION; 2.1 Estimating Bias ; 2.1.1 Bootstrap Adjustment ; 2.1.2 Error Rate Estimation in Discriminant Analysis 327 $a2.1.3 Simple Example of Linear Discrimination and Bootstrap Error Rate Estimation 2.1.4 Patch Data Example ; 2.2 Estimating Location ; 2.2.1 Estimating a Mean ; 2.2.2 Estimating a Median ; 2.3 Estimating Dispersion ; 2.3.1 Estimating an Estimate's Standard Error ; 2.3.2 Estimating Interquartile Range ; 2.4 Linear Regression ; 2.4.1 Overview ; 2.4.2 Bootstrapping Residuals ; 2.4.3 Bootstrapping Pairs (response and Predictor Vector) ; 2.4.4 Heteroscedasticity of Variance: the Wild Bootstrap ; 2.4.5 a Special Class of Linear Regression Models: Multivariable Fractional Polynomials 327 $a2.5 Nonlinear Regression 2.5.1 Examples of Nonlinear Models ; 2.5.2 a Quasi Optical Experiment ; 2.6 Nonparametric Regression ; 2.6.1 Examples of Nonparametric Regression Models ; 2.6.2 Bootstrap Bagging ; 2.7 Historical Notes ; 2.8 Exercises ; References ; 3: CONFIDENCE INTERVALS ; 3.1 Subsampling, Typical Value Theorem, and Efron's Percentile Method ; 3.2 Bootstrap-t ; 3.3 Iterated Bootstrap ; 3.4 Bias Corrected (BC) Bootstrap ; 3.5 Bca and Abc ; 3.6 Tilted Bootstrap ; 3.7 Variance Estimation with Small Sample Sizes ; 3.8 Historical Notes ; 3.9 Exercises ; References ; 4: HYPOTHESIS TESTING 327 $a4.1 Relationship to Confidence Intervals 4.2 Why Test Hypotheses Differently? ; 4.3 Tendril Dx Example ; 4.4 Klingenberg Example: Binary Dose-response ; 4.5 Historical Notes ; 4.6 Exercises ; References ; 5: TIME SERIES; 5.1 Forecasting Methods ; 5.2 Time Domain Models ; 5.3 Can Bootstrapping Improve Prediction Intervals? ; 5.4 Model Based Methods ; 5.4.1 Bootstrapping Stationary Autoregressive Processes ; 5.4.2 Bootstrapping Explosive Autoregressive Processes ; 5.4.3 Bootstrapping Unstable Autoregressive Processes ; 5.4.4 Bootstrapping Stationary Arma Processes 327 $a5.5 Block Bootstrapping for Stationary Time Series 5.6 Dependent Wild Bootstrap (DWB) ; 5.7 Frequency-based Approaches for Stationary Time Series ; 5.8 Sieve Bootstrap ; 5.9 Historical Notes ; 5.10 Exercises ; References ; 6: BOOTSTRAP VARIANTS; 6.1 Bayesian Bootstrap ; 6.2 Smoothed Bootstrap ; 6.3 Parametric Bootstrap ; 6.4 Double Bootstrap ; 6.5 the M-out-of-n Bootstrap ; 6.6 the Wild Bootstrap ; 6.7 Historical Notes ; 6.8 Exercise ; References ; 7: CHAPTER SPECIAL TOPICS; 7.1 Spatial Data ; 7.1.1 Kriging ; 7.1.2 Asymptotics for Spatial Data ; 7.1.3 Block Bootstrap on Regular Grids 327 $a7.1.4 Block Bootstrap on Irregular Grids 330 $aA comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully utilizes R to illustrate applications for the bootstrap and other resampling methods. This book provides a modern introduction to bootstrap methods for readers who do not have an extensive background in advanced mathematics. Emphasis throughout is 410 0$aNew York Academy of Sciences 606 $aBootstrap (Statistics) 606 $aR (Computer program language) 615 0$aBootstrap (Statistics) 615 0$aR (Computer program language) 676 $a519.5/4 686 $aMAT029000$2bisacsh 700 $aChernick$b Michael R.$0140081 702 $aLaBudde$b Robert A.$f1947- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910810818703321 996 $aAn introduction to bootstrap methods with applications to R$94029521 997 $aUNINA LEADER 04298oam 2200661Ka 450 001 9910965969403321 005 20250818201028.0 010 $a1-299-22072-X 010 $a0-262-31309-X 035 $a(CKB)2560000000098125 035 $a(EBL)3339572 035 $a(SSID)ssj0000835558 035 $a(PQKBManifestationID)12419348 035 $a(PQKBTitleCode)TC0000835558 035 $a(PQKBWorkID)10997190 035 $a(PQKB)11778779 035 $a(MiAaPQ)EBC3339572 035 $a(OCoLC)829253306 035 $a(OCoLC-P)829253306 035 $a(MaCbMITP)9228 035 $a(Au-PeEL)EBL3339572 035 $a(CaPaEBR)ebr10661915 035 $a(CaONFJC)MIL453322 035 $a(OCoLC)834620399 035 $a(EXLCZ)992560000000098125 100 $a20130307d2013 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIllusions in motion $emedia archaeology of the moving panorama and related spectacles /$fErkki Huhtamo 205 $a1st ed. 210 $aCambridge, Mass. $cMassachusetts Institute of Technology$dİ2013 215 $a1 online resource (461 p.) 225 1 $aLeonardo book series 300 $aDescription based upon print version of record. 311 08$a0-262-01851-9 320 $aIncludes bibliographical references and index. 327 $aPreface: The Formation of a Panoramaniac -- Introduction: Moving Panorama - a Missing Medium -- The Incubation Era: Antecedents and Anticipations -- Large as Life, and Moving: The Peristrephic Panorama -- Rolling Across the Stage: The Moving Panorama and the Theatre -- Transformed By The Light: The Diorama and the "dioramas" -- The Panoramania, or The Mid-Century Moving Panorama Craze -- Panoramania in Practice: Albert Smith and his Moving Panoramas -- The Moving Panorama Performance: an Excavation -- Intermedial Tug of War, or Panoramas and Magic Lanterns -- Sensory Bombardment: a Medium's Final Fanfares -- The Discursive Transfiguration of the Moving Panorama -- Conclusion: From Panoramas to Media Culture. 330 $aTracing the cultural, material, and discursive history of an early manifestation of media culture in the making.Beginning in the late eighteenth century, huge circular panoramas presented their audiences with resplendent representations that ranged from historic battles to exotic locations. Such panoramas were immersive but static. There were other panoramas that moved--hundreds, and probably thousands of them. Their history has been largely forgotten. In Illusions in Motion, Erkki Huhtamo excavates this neglected early manifestation of media culture in the making. The moving panorama was a long painting that unscrolled behind a "window" by means of a mechanical cranking system, accompanied by a lecture, music, and sometimes sound and light effects. Showmen exhibited such panoramas in venues that ranged from opera houses to church halls, creating a market for mediated realities in both city and country. In the first history of this phenomenon, Huhtamo analyzes the moving panorama in all its complexity, investigating its relationship to other media and its role in the culture of its time. In his telling, the panorama becomes a window for observing media in operation. Huhtamo explores such topics as cultural forms that anticipated the moving panorama; theatrical panoramas; the diorama; the "panoramania" of the 1850s and the career of Albert Smith, the most successful showman of that era; competition with magic lantern shows; the final flowering of the panorama in the late nineteenth century; and the panorama's afterlife as a topos, traced through its evocation in literature, journalism, science, philosophy, and propaganda. 410 0$aLeonardo Book 606 $aPanoramas 606 $aPanoramas$xPsychological aspects 606 $aMass media and culture 606 $aPopular culture 615 0$aPanoramas. 615 0$aPanoramas$xPsychological aspects. 615 0$aMass media and culture. 615 0$aPopular culture. 676 $a751.7/4 700 $aHuhtamo$b Erkki$01101010 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910965969403321 996 $aIllusions in motion$94421699 997 $aUNINA