Functional and Shape Data Analysis
Anuj Srivastava
€ 178.28
FREE Delivery in Ireland
Description for Functional and Shape Data Analysis
Hardback. Series: Springer Series in Statistics. Num Pages: 465 pages, 65 black & white illustrations, 182 colour illustrations, biography. BIC Classification: PBKF; PBM; PBT. Category: (G) General (US: Trade). Dimension: 198 x 267 x 33. Weight in Grams: 1062.
This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered-from introductory theory to algorithmic implementations and some statistical case studies-is meant to familiarize graduate students with an array of tools that are relevant in developing computational solutions for shape and related analyses. These tools, gleaned from geometry, algebra, statistics, and ... Read more
This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered-from introductory theory to algorithmic implementations and some statistical case studies-is meant to familiarize graduate students with an array of tools that are relevant in developing computational solutions for shape and related analyses. These tools, gleaned from geometry, algebra, statistics, and ... Read more
Product Details
Publisher
Springer-Verlag New York Inc.
Format
Hardback
Publication date
2016
Series
Springer Series in Statistics
Condition
New
Weight
1061g
Number of Pages
447
Place of Publication
New York, United States
ISBN
9781493940189
SKU
V9781493940189
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Anuj Srivastava
Anuj Srivastava is a Professor in the Department of Statistics and a Distinguished Research Professor at Florida State University. His areas of interest include statistical analysis on nonlinear manifolds, statistical computer vision, functional data analysis, and statistical shape theory. He has been the associate editor for the Journal of Statistical Planning and Inference, and several IEEE journals. He is a ... Read more
Reviews for Functional and Shape Data Analysis