Title
Bootstrap Methods And Their Application (Cambridge Series In Statistical And Probabilistic Mathematics, Series Number 1)
Delivery time: 8-12 business days (International)
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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We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What are bootstrap methods and how are they applied? A: Bootstrap methods are statistical techniques that involve resampling data to estimate the distribution of a statistic. They are widely used in various applications such as estimating confidence intervals and conducting significance tests across diverse fields like regression analysis and time series.
- Q: Who is the author of 'Bootstrap Methods and their Application'? A: The book is authored by A. C. Davison, a recognized expert in the field of statistics.
- Q: What is included with the book? A: The book comes with a disk containing purpose-written S-Plus programs designed to help users implement the methods discussed in the text.
- Q: Is this book suitable for beginners in statistics? A: While the book covers fundamental concepts, it is recommended for readers who have a basic understanding of statistical methods, as it delves into both practical applications and theoretical exercises.
- Q: What is the publication date of the book? A: The book was published on October 28, 1997.
- Q: How many pages does this book contain? A: The book contains a total of 594 pages.
- Q: What type of binding does this book have? A: This book is available in paperback binding.
- Q: What are some applications covered in the book? A: The book discusses applications in areas such as stratified data, finite populations, censored and missing data, and various regression models, including linear and nonlinear.
- Q: Can I use this book without prior knowledge of S-Plus? A: While the book does include S-Plus programs, a basic understanding of the S-Plus application is necessary to fully utilize the content and examples provided.
- Q: What unique features does this book offer? A: The book features extensive discussions on significance tests, confidence intervals, diagnostic methods, and efficient computation techniques, making it a comprehensive resource for those interested in bootstrap methods.