Title
Applied Smoothing Techniques For Data Analysis: The Kernel Approach With Splus Illustrations (Oxford Statistical Science Series
Delivery time: 8-12 business days (International)
This Book Describes The Use Of Smoothing Techniques In Statistics And Includes Both Density Estimation And Nonparametric Regression. Incorporating Recent Advances, It Describes A Variety Of Ways To Apply These Methods To Practical Problems. Although The Emphasis Is On Using Smoothing Techniques To Explore Data Graphically, The Discussion Also Covers Data Analysis With Nonparametric Curves, As An Extension Of More Standard Parametric Models. Intended As An Introduction, With A Focus On Applications Rather Than On Detailed Theory, The Book Will Be Equally Valuable For Undergraduate And Graduate Students In Statistics And For A Wide Range Of Scientists Interested In Statistical Techniques.The Text Makes Extensive Reference To Splus, A Powerful Computing Environment For Exploring Data, And Provides Many Splus Functions And Example Scripts. This Material, However, Is Independent Of The Main Body Of Text And May Be Skipped By Readers Not Interested In Splus.
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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
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 is the main focus of 'Applied Smoothing Techniques for Data Analysis'? A: The book primarily focuses on the application of smoothing techniques in statistics, including density estimation and nonparametric regression, emphasizing graphical data exploration.
- Q: Who is the author of this book? A: The author of 'Applied Smoothing Techniques for Data Analysis' is Adrian W. Bowman.
- Q: What edition of the book is available? A: This book is available in its first edition.
- Q: What type of binding does this book have? A: This book comes in a hardcover binding, providing durability and a professional appearance.
- Q: When was 'Applied Smoothing Techniques for Data Analysis' published? A: The book was published on November 13, 1997.
- Q: How many pages does the book contain? A: The book contains a total of 204 pages.
- Q: Is this book suitable for beginners in statistics? A: Yes, the book is intended as an introduction to smoothing techniques, making it suitable for both undergraduate and graduate students in statistics.
- Q: Does the book include practical examples using S-Plus? A: Yes, the book provides extensive references to S-Plus, including many functions and example scripts for practical application.
- Q: What is the condition of the book? A: The book is in new condition.
- Q: What statistical techniques does this book cover? A: The book covers smoothing techniques, including density estimation and nonparametric regression, with a focus on their application in data analysis.