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Deconvolution Problems in Nonparametric Statistics (English, Alexander Meister)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9783540875567 |
| ISBN-10 | 3540875565 |
| Author | Alexander Meister |
Product Description
Here on GlowMirror, you'll find Deconvolution Problems in Nonparametric Statistics filed under Statistics -- everything you need to know is covered below.
About the Book
Deconvolution problems occur in many ?elds of nonparametric statistics, for example, density estimation based on contaminated data, nonparametric - gression with errors-in-variables, image and signal deblurring. During the last two decades, those topics have received more and more attention. As appli- tions of deconvolution procedures concern many real-life problems in eco- metrics, biometrics, medical statistics, image reconstruction, one can re…
ISBN: 9783540875567
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Deconvolution Problems in Nonparametric Statistics
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Statistics
Who Should Read This
Students and professionals interested in Statistics, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Deconvolution Problems in Nonparametric Statistics is available in English on GlowMirror.
Who is the author of Deconvolution Problems in Nonparametric Statistics?
Deconvolution Problems in Nonparametric Statistics is authored by Alexander Meister.
Who published Deconvolution Problems in Nonparametric Statistics?
Deconvolution Problems in Nonparametric Statistics is published by Springer.
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At an average reading speed of 250 words per minute, reading Deconvolution Problems in Nonparametric Statistics takes a few hours to a few days depending on reading pace.
What is Deconvolution Problems in Nonparametric Statistics about?
About the Book
Deconvolution problems occur in many ?elds of nonparametric statistics, for example, density estimation based on contaminated data, nonparametric - gression with errors-in-variables, image and signal deblurring. During the last two decades, those topics have received more and more a...
Is Deconvolution Problems in Nonparametric Statistics suitable for beginners?
Whether Deconvolution Problems in Nonparametric Statistics is suitable for beginners depends on your background in Statistics. Review the product description and specifications above for details on the target audience and difficulty level.
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