ISBN: 9780470509456 - statistics for imaging, optics, and photonics (wiley series in probability and statistics, 808, band 808) (7 Ergebnisse)

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. pp. 408.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 1st edition. 408 pages. 9.50x6.25x1.00 inches. In Stock.

Gebunden. Zustand: New. PETER BAJORSKI, PhD, is Associate Professor in the Graduate Statistics Department at Rochester Institute of Technology, where he is also a core member of the graduate program faculty at the Center for Imaging Science. The author of numerous published articl.

Zustand: New. This is the first book fully devoted to the implementation of statistical methods in imaging, optics, and photonics applications with a concentration on statistical inference. The text contains a wide range of relevant statistical methods, including a review of the fundamentals of statistics and expanding into multivariate techniques. Num Pages: 408 pages, Illustrations. BIC Classification: PBT; TTBM. Category: (P) Professional & Vocational. Dimension: 238 x 161 x 25. Weight in Grams: 694. . 2011. Hardback. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Neuware - A vivid, hands-on discussion of the statistical methods in imaging, optics, and photonics applicationsIn the field of imaging science, there is a growing need for students and practitioners to be equipped with the necessary knowledge and tools to carry out quantitative analysis of data. Providing a self-contained approach that is not too heavily statistical in nature, Statistics for Imaging, Optics, and Photonics presents necessary analytical techniques in the context of real examples from various areas within the field, including remote sensing, color science, printing, and astronomy.Bridging the gap between imaging, optics, photonics, and statistical data analysis, the author uniquely concentrates on statistical inference, providing a wide range of relevant methods. Brief introductions to key probabilistic terms are provided at the beginning of the book in order to present the notation used, followed by discussions on multivariate techniques such as:Linear regression models, vector and matrix algebra, and random vectors and matricesMultivariate statistical inference, including inferences about both mean vectors and covariance matricesPrincipal components analysisCanonical correlation analysisDiscrimination and classification analysis for two or more populations and spatial smoothingCluster analysis, including similarity and dissimilarity measures and hierarchical and nonhierarchical clustering methodsIntuitive and geometric understanding of concepts is emphasized, and all examples are relatively simple and include background explanations. Computational results and graphs are presented using the freely available R software, and can be replicated by using a variety of software packages. Throughout the book, problem sets and solutions contain partial numerical results, allowing readers to confirm the accuracy of their approach; and a related website features additional resources including the book's datasets and figures.Statistics for Imaging, Optics, and Photonics is an excellent book for courses on multivariate statistics for imaging science, optics, and photonics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for professionals working in imaging, optics, and photonics who carry out data analyses in their everyday work.…