- We will send in 10–14 business days.
/images/books/2892439/9780198522454.jpg)
- Author: P J Brown
- Publisher: Clarendon Press
- ISBN-10: 0198522452
- ISBN-13: 9780198522454
- Format: 15.2 x 22.9 x 1.6 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
With an abundance of helpful examples, this text expertly presents the essentials of measurement, regression, and calibration. The book develops the fundamentals and underlying theories of key techniques in a clear, step-by-step progression, starting with standard least squares prediction of a single variable and moving on to shrinkage techniques for multiple variables. Self-contained chapters discuss methods that have been specifically developed for spectroscopy, likelihood and Bayesian inference (which may be applied to a wide range of multivariate regression problems), and Bayesian approaches to pattern recognition, among other topics. Ideal for instruction as well as for reference, Measurement, Regression, and Calibration will be a valuable addition to the bookshelves of professionals and advanced students in statistics and other pertinent fields.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 18d.17:36:09
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: P J Brown
- Publisher: Clarendon Press
- ISBN-10: 0198522452
- ISBN-13: 9780198522454
- Format: 15.2 x 22.9 x 1.6 cm, hardcover
- Language: English English
With an abundance of helpful examples, this text expertly presents the essentials of measurement, regression, and calibration. The book develops the fundamentals and underlying theories of key techniques in a clear, step-by-step progression, starting with standard least squares prediction of a single variable and moving on to shrinkage techniques for multiple variables. Self-contained chapters discuss methods that have been specifically developed for spectroscopy, likelihood and Bayesian inference (which may be applied to a wide range of multivariate regression problems), and Bayesian approaches to pattern recognition, among other topics. Ideal for instruction as well as for reference, Measurement, Regression, and Calibration will be a valuable addition to the bookshelves of professionals and advanced students in statistics and other pertinent fields.
Reviews