Statistical tools for nonlinear regression
Sylvie Huet
Reading Time
at 250 WPM2h 35m
The average reader, reading at a speed of 250 WPM, would take 2h 35m to read Statistical tools for nonlinear regression.
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155
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Statistical tools for nonlinear regression
by Sylvie Huet, Annie Bouvier, Marie-Anne Gruet
Published
2013
Publisher
Springer London, Limited
Pages
155
ISBN-13
9781475725230
Description
Statistical Tools for Nonlinear Regression presents methods for analyzing data using parametric nonlinear regression models. Using examples from experiments in agronomy and biochemistry, it shows how to apply the methods. Aimed at scientists who are not familiar with statistical theory, it concentrates on presenting the methods in an intuitive way rather than developing the theoretical grounds. The book includes methods based on classical nonlinear regression theory and more modern methods, such as the bootstrap, that have proven effective in practice. The examples are analyzed with the software nls2 implemented in S-PLUS.
Subjects
Classical and modern regression with applications
Applied regression analysis
Introduction to linear regression analysis
Introduction to econometrics
Essentials of econometrics
Regression Basics
Frequently Asked Questions
How many pages are in Statistical tools for nonlinear regression?
This edition of Statistical tools for nonlinear regression has approximately 155 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Statistical tools for nonlinear regression?
For most readers, Statistical tools for nonlinear regression typically takes between 3h 14m and 2h 9m to complete. This is based on the book's length of approximately 38,750 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 2h 35m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 6 days • Estimated word count: 38,750 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Statistical tools for nonlinear regression?
The estimated word count for Statistical tools for nonlinear regression is approximately 38,750 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Statistical tools for nonlinear regression?
Statistical tools for nonlinear regression was written by Sylvie Huet, Annie Bouvier, Marie-Anne Gruet.
When was Statistical tools for nonlinear regression published?
The publication date for this specific edition is 2013. The original work may have been published on a different date.