This book explains the statistical theory behind a range of regression problems in which one set of variables is predicted from another. The applications are from industry and medicine where the researchers are using sophisticated electronic measuring devices that are capable of monitoring very many variables. Series: Oxford Statistical Science Series. Num Pages: 210 pages, line figures, tables. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 241 x 162 x 17. Weight in Grams: 474. . 1994. Illustrated. hardcover. . . . .

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Bibliographic Details

Title: Measurement, Regression, and Calibration: 12 (Oxford Statistical Science Series)
Publisher: Clarendon Press
Publication Date: 1994
Language: English
ISBN 10: 0198522452
ISBN 13: 9780198522454
Binding: Hardcover
Condition: New

About this title

Synopsis

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.

About the Author

Philip J. Brown is at University of Liverpool.

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