Families of Bivariate Distributions

Mardia, K. V.

Lubrecht & Cramer, Ltd

Presents new and up-dated material on both the underlying theory and the practical methodology of directional statistics, helping the reader to utilise and develop the techniques appropriate to their work.The book is divided into three parts. The first part concentrates on statistics on the circle. Topics covered include tests of uniformity, tests of good-of-fit, inference on von Mises distributions and non-parametric methods. The second part considers statistics on spheres of arbitrary dimension, and includes a detailed account of inference on the main distributions on spheres. Recent material on correlation, regression time series, robust techniques, bootstrap methods, density estimation and curve fitting is presented. The third part considers statistics on more general sample spaces, in particular rotation groups, Stiefel manifolds, Grassmann manifolds and complex projective spaces. Shape analysis is considered from the perspective of directional statistics.Written by leading authors in the field, this text will be invaluable not only to researchers in probability and statistics interested in the latest developments in directional statistics, but also to practitioners and researchers in many scientific fields, including astronomy, biology, computer vision, earth sciences and image analysis.

Statistics of Directional Data

Science & Math

Mathematics

Academic Pr

109p grey and red paper cover, library stamp to top edge and "withdrawn" stamp to title, a clean and firm copy of the first edition, inner hinges with supportive tape, now brownig, which incorporates magnetic library security strip

Families of Bivariate Distributions (Griffin's Statistical Monographs)

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