Eine Einführung in Bootstrap-Methoden, die auch für Anfänger ohne umfangreiche mathematische Vorkenntnisse geeignet ist! Diskutiert werden Anwendungen der Verfahren aus vielen Gebieten; über 1500 Referenzen ebnen für Interessierte den Weg zur Originalliteratur. Anhand geschickt ausgewählter Beispiele wird auch erläutert, in welchen Fällen man nicht mit Bootstrap-Methoden arbeiten sollte.
A comprehensive, practical treatment for professionals In less than two decades, the bootstrap has grown from an obscure object of theoretical study to a widely used resampling method with broad applications in numerous real-world situations. Bootstrap Methods: A Practitioner's Guide provides an introduction to the bootstrap for readers who have professional interest in these methods but do not have a background in advanced mathematics. It offers reliable, authoritative coverage of the bootstrap's considerable advantages as well as its drawbacks. This book updates classic texts in the field by presenting results on improved confidence set estimation, estimation of error rates in discriminant analysis, and applications to a wide variety of hypothesis testing and estimation problems. To alert readers to the limitations of the method, it exhibits counterexamples to the consistency of bootstrap methods. This book also makes connections between more traditional resampling methods and bootstrap. Outstanding special features of Bootstrap Methods include: The most extensive and detailed bootstrap bibliography available, including more than 1,600 references Discussions enlivened with stimulating topics such as data mining Historical notes at the end of each chapter Examples and explanations of when and why bootstrap is not effective Bootstrap Methods is a serious, useful, and unparalleled practical guide for professionals in engineering, the sciences, clinical medicine, and applied statistics.
A comprehensive, practical treatment for professionals In less than two decades, the bootstrap has grown from an obscure object of theoretical study to a widely used resampling method with broad applications in numerous real-world situations. Bootstrap Methods: A Practitioner's Guide provides an introduction to the bootstrap for readers who have professional interest in these methods but do not have a background in advanced mathematics. It offers reliable, authoritative coverage of the bootstrap's considerable advantages as well as its drawbacks. This book updates classic texts in the field by presenting results on improved confidence set estimation, estimation of error rates in discriminant analysis, and applications to a wide variety of hypothesis testing and estimation problems. To alert readers to the limitations of the method, it exhibits counterexamples to the consistency of bootstrap methods. This book also makes connections between more traditional resampling methods and bootstrap. Outstanding special features of Bootstrap Methods include: The most extensive and detailed bootstrap bibliography available, including more than 1,600 references Discussions enlivened with stimulating topics such as data mining Historical notes at the end of each chapter Examples and explanations of when and why bootstrap is not effective Bootstrap Methods is a serious, useful, and unparalleled practical guide for professionals in engineering, the sciences, clinical medicine, and applied statistics.
"This book can serve as a useful resource when trying to locate research papers on bootstrap methods and specific applications and will enhance understanding of the historical development of this important area of modern statistics." (Technometrics, February, 2001)
"Biostatistician Chernick introduces the resampling methods to professional who are interested in them but do not have a background in advanced mathematics." (SciTech Book News, Vol. 24, No. 4, December 2000)
A great advantage of the book is the vast bibliography (more than 1600 items on 83 pages!). (Zentralblatt Math, Volume 945, No 20, 2000)
"...successful in its goal of being a useful reference source for practitioners of statistical methods regardless of their background." (SIAM Review, Vol. 43, No. 3, September 2001)
"...is a must on each bootstrapper's bookshelf." (Statistics & Decisions, Vol. 18/3, 2000)
"...will enhance understanding of the historical development of this important area of modern statistics." (Technometrics, February, 2001)
"...this book is helpful for those who want to gain insight into sensible choices when bootstrapping. The plethora of the references can be a guide for existing applications..." (Statistical Methods in Medical Research, Vol. 10, No. 4, 2001)
"...bootstrap is briefly discussed here. However, I recommend the book, Bootstrap Methods, by C. R. Chernick for this computer intensive method. It is an excellent guide for practitioners and it has an extensive bibliography...making it an indispensable reference source." (Technometrics, February 2002)
"Biostatistician Chernick introduces the resampling methods to professional who are interested in them but do not have a background in advanced mathematics." (SciTech Book News, Vol. 24, No. 4, December 2000)
A great advantage of the book is the vast bibliography (more than 1600 items on 83 pages!). (Zentralblatt Math, Volume 945, No 20, 2000)
"...successful in its goal of being a useful reference source for practitioners of statistical methods regardless of their background." (SIAM Review, Vol. 43, No. 3, September 2001)
"...is a must on each bootstrapper's bookshelf." (Statistics & Decisions, Vol. 18/3, 2000)
"...will enhance understanding of the historical development of this important area of modern statistics." (Technometrics, February, 2001)
"...this book is helpful for those who want to gain insight into sensible choices when bootstrapping. The plethora of the references can be a guide for existing applications..." (Statistical Methods in Medical Research, Vol. 10, No. 4, 2001)
"...bootstrap is briefly discussed here. However, I recommend the book, Bootstrap Methods, by C. R. Chernick for this computer intensive method. It is an excellent guide for practitioners and it has an extensive bibliography...making it an indispensable reference source." (Technometrics, February 2002)