Analysis of Multivariate and High-Dimensional Data

Reviews / Votes

'... this book is suitable for readers with various backgrounds and interests and can be read at different levels. ... [It] will also be useful for working statisticians who are interested in analysis of multivariate or high-dimensional data.' Yasunori Fujikoshi, Mathematical Reviews 'A major advantage and important feature of this book is that it illustrates the interconnection of various techniques, such as the connection between discriminant analysis and principal component analysis, cluster analysis and principal component analysis, and factor analysis and cluster analysis. The author has undoubtedly taken on an appreciable task of collecting, compiling, connecting and presenting classical as well as recent developments concisely ... Readers are expected to have an adequate background in statistics to understand the topics in this book. This well-designed book is suitable for advanced multivariate courses where the emphasis is more on applications. Application-orientated researchers will also find this book useful. Problems for each chapter are given at the end of each section. Graphics are used at various places to facilitate the understanding of topics. The book is highly recommended for libraries.' Journal of the Royal Statistical Society 'I must highly commend the author for writing an excellent comprehensive review of multivariate and high dimensional statistics ... The lucid treatment and thoughtful presentation are two additional attractive features ... Without any hesitation and with admiration, I would give the author a 10 out of 10 ... The feat she has accomplished successfully for this difficult area of statistics is something very few could accomplish. The wealth of information is enormous and a motivated student can learn a great deal from this book ... I highly recommend [it] to researchers working in the field of high dimensional data and to motivated graduate students.' Ravindra Khattree, International Statistical Review