Title
Bootstrap Methods and their Application (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 1),New
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This book gives a broad and uptodate coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models; classification; time series and spatial problems. Special features of the book include: extensive discussion of significance tests and confidence intervals; material on various diagnostic methods; and methods for efficient computation, including improved Monte Carlo simulation. Each chapter includes both practical and theoretical exercises. Included with the book is a disk of purposewritten SPlus programs for implementing the methods described in the text. Computer algorithms are clearly described, and computer code is included on a 3inch, 1.4M disk for use with IBM computers and compatible machines. Users must have the SPlus computer application. Author resource page: http://statwww.epfl.ch/davison/BMA/
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- Q: How many pages does this book have? A: This book has five hundred ninety-four pages. It offers extensive coverage of bootstrap methods with practical and theoretical exercises.
- Q: What is the binding type of this book? A: This book is available in paperback binding. This makes it flexible and easy to handle for reading.
- Q: What dimensions does this book have? A: The dimensions of this book are seven point zero one inches in length, one point three four inches in width, and ten inches in height. These dimensions make it a standard size for a textbook.
- Q: Who is the author of this book? A: The author of this book is A. C. Davison. He provides a comprehensive look at bootstrap methods in statistics.
- Q: What topics are covered in this book? A: The book covers topics such as stratified data, finite populations, and regression models. It also includes applications in time series and spatial problems.
- Q: Can I use this book for self-study? A: Yes, this book is suitable for self-study. It includes numerous applied examples and exercises to enhance understanding.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners as well as advanced learners. It provides a coherent theoretical basis along with practical applications.
- Q: How can I implement the methods described in this book? A: You can implement the methods using the included disk with purpose-written S-Plus programs. This facilitates practical application of the bootstrap methods.
- Q: Does this book include exercises? A: Yes, each chapter includes both practical and theoretical exercises. This helps reinforce the concepts covered in the book.
- Q: What kind of computer programs are included with this book? A: The book includes a disk with S-Plus programs. These programs are designed to implement the methods discussed in the text.
- Q: Is there a website associated with this book? A: Yes, there is an author resource page available at http://statwww.epfl.ch/davison/BMA/. This page offers additional resources related to the book.
- Q: What special features does this book offer? A: The book includes extensive discussions on significance tests and confidence intervals. It also covers various diagnostic methods for bootstrap applications.
- Q: Are there any prerequisites to understand this book? A: A foundational understanding of statistics is beneficial but not mandatory. The book is structured to cater to various levels of expertise.
- Q: What is the publisher of this book? A: The publisher of this book is Cambridge University Press. They are known for high-quality academic publications.
- Q: Does this book cover advanced statistical methods? A: Yes, the book covers advanced statistical methods, including nonlinear and smooth regression models. It is suitable for those looking to deepen their knowledge in statistics.