Nonparametric Statistics And Mixture Models A Festschrift In Honor Of Thomas P Hettmansperger
Download Nonparametric Statistics And Mixture Models A Festschrift In Honor Of Thomas P Hettmansperger PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Nonparametric Statistics And Mixture Models A Festschrift In Honor Of Thomas P Hettmansperger book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Nonparametric Statistics And Mixture Models: A Festschrift In Honor Of Thomas P Hettmansperger
This festschrift includes papers authored by many collaborators, colleagues, and students of Professor Thomas P Hettmansperger, who worked in research in nonparametric statistics, rank statistics, robustness, and mixture models during a career that spanned nearly 40 years. It is a broad sample of peer-reviewed, cutting-edge research related to nonparametrics and mixture models.
Modern Nonparametric, Robust and Multivariate Methods
Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust methods for complex data structures. Some examples from statistical signal processing are also given. The volume is dedicated to Hannu Oja on the occasion of his 65th birthday and is intended for researchers as well as PhD students with a good knowledge of statistics.
Partitional Clustering Algorithms
This book focuses on partitional clustering algorithms, which are commonly used in engineering and computer scientific applications. The goal of this volume is to summarize the state-of-the-art in partitional clustering. The book includes such topics as center-based clustering, competitive learning clustering and density-based clustering. Each chapter is contributed by a leading expert in the field.