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Measurement Error in Nonlinear Models (English, Raymond J. Carroll | David Ruppert | Leonard A. Stefanski)
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Specifications
| Publisher | CRC Press |
| Language | English |
| ISBN-13 | 9781584886334 |
| ISBN-10 | 1584886331 |
| Author | Raymond J. Carroll | David Ruppert | Leonard A. Stefanski |
Product Description
Here on GlowMirror, you'll find Measurement Error in Nonlinear Models filed under CRC Press -- everything you need to know is covered below.
About the Book
It's been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the opposite has occurred. As a result, Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition has been revamped and extensively updated to offer the most comprehensive and up-to-date survey of measurement error models currently avai…
ISBN: 9781584886334
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Measurement Error in Nonlinear Models
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in CRC Press
Who Should Read This
Students and professionals interested in CRC Press, 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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Measurement Error in Nonlinear Models is available in English on GlowMirror.
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Measurement Error in Nonlinear Models is authored by Raymond J. Carroll | David Ruppert | Leonard A. Stefanski.
Who published Measurement Error in Nonlinear Models?
Measurement Error in Nonlinear Models is published by CRC Press.
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About the Book
It's been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the opposite has occurred. As a result, Measurement Error in Nonlinear Models: A Modern...
Is Measurement Error in Nonlinear Models suitable for beginners?
Whether Measurement Error in Nonlinear Models is suitable for beginners depends on your background in CRC Press. Review the product description and specifications above for details on the target audience and difficulty level.
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