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Advances In Directional And Linear Statistics


Advances In Directional And Linear Statistics
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Advances In Directional And Linear Statistics


Advances In Directional And Linear Statistics
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Author : Martin T Wells
language : en
Publisher: Springer
Release Date : 2010-11-10

Advances In Directional And Linear Statistics written by Martin T Wells and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-10 with categories.




Modern Directional Statistics


Modern Directional Statistics
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Author : Christophe Ley
language : en
Publisher: CRC Press
Release Date : 2017-08-03

Modern Directional Statistics written by Christophe Ley and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-03 with Computers categories.


Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades. It provides a detailed overview and analysis of recent results that can help both researchers and practitioners. Knowledge of multivariate statistics eases the reading but is not mandatory. The field of directional statistics has received a lot of attention over the past two decades, due to new demands from domains such as life sciences or machine learning, to the availability of massive data sets requiring adapted statistical techniques, and to technological advances. This book covers important progresses in distribution theory,high-dimensional statistics, kernel density estimation, efficient inference on directional supports, and computational and graphical methods. Christophe Ley is professor of mathematical statistics at Ghent University. His research interests include semi-parametrically efficient inference, flexible modeling, directional statistics and the study of asymptotic approximations via Stein’s Method. His achievements include the Marie-Jeanne Laurent-Duhamel prize of the Société Française de Statistique and an elected membership at the International Statistical Institute. He is associate editor for the journals Computational Statistics & Data Analysis and Econometrics and Statistics. Thomas Verdebout is professor of mathematical statistics at Université libre de Bruxelles (ULB). His main research interests are semi-parametric statistics, high- dimensional statistics, directional statistics and rank-based procedures. He has won an annual prize of the Belgian Academy of Sciences and is an elected member of the International Statistical Institute. He is associate editor for the journals Statistics and Probability Letters and Journal of Multivariate Analysis.



Advances In Directional And Linear Statistics


Advances In Directional And Linear Statistics
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Author : Martin T. Wells
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-04

Advances In Directional And Linear Statistics written by Martin T. Wells and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-04 with Mathematics categories.


The present volume consists of papers written by students, colleagues and collaborators of Sreenivasa Rao Jammalamadaka from various countries, and covers a variety of research topics which he enjoys and contributed immensely to.



Advances In Directional And Linear Statistics


Advances In Directional And Linear Statistics
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Author :
language : en
Publisher:
Release Date : 2011

Advances In Directional And Linear Statistics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.




The Economy Present Continuous Theory Of Economic Time


The Economy Present Continuous Theory Of Economic Time
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Author : Elena Popkova
language : en
Publisher: World Scientific
Release Date : 2023-12-27

The Economy Present Continuous Theory Of Economic Time written by Elena Popkova and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-27 with Business & Economics categories.


This book explains complex scientific concepts using simple and understandable illustrations and practical examples. For example, the competition between countries in the world economy is compared to motor racing, time savings are illustrated through the example of a masquerade ball, and the cyclical effect of time on the economy is reflected through the prism of changing seasons. It presents amazing phenomena and processes of economic time, including 'economic vintage', 'the time machine in the economy', 'youth' and 'old age' of the economy, its 'growing up', 'the economic calendar', 'catching up', and 'forward-looking' development. This book will therefore be interesting not only to members of the scientific community but also to non-academic readers — to everyone who wants to understand the nature of economic time.



Nonparametric Statistics


Nonparametric Statistics
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Author : Ricardo Cao
language : en
Publisher: Springer
Release Date : 2016-09-12

Nonparametric Statistics written by Ricardo Cao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-12 with Mathematics categories.


This volume collects selected, peer-reviewed contributions from the 2nd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Cádiz (Spain) between June 11–16 2014, and sponsored by the American Statistical Association, the Institute of Mathematical Statistics, the Bernoulli Society for Mathematical Statistics and Probability, the Journal of Nonparametric Statistics and Universidad Carlos III de Madrid. The 15 articles are a representative sample of the 336 contributed papers presented at the conference. They cover topics such as high-dimensional data modelling, inference for stochastic processes and for dependent data, nonparametric and goodness-of-fit testing, nonparametric curve estimation, object-oriented data analysis, and semiparametric inference. The aim of the ISNPS 2014 conference was to bring together recent advances and trends in several areas of nonparametric statistics in order to facilitate the exchange of research ideas, promote collaboration among researchers from around the globe, and contribute to the further development of the field.



Advances In Directional And Linear Statistics


Advances In Directional And Linear Statistics
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Author : Martin T. Wells
language : en
Publisher: Physica
Release Date : 2010-11-11

Advances In Directional And Linear Statistics written by Martin T. Wells and has been published by Physica this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-11 with Mathematics categories.


The present volume consists of papers written by students, colleagues and collaborators of Sreenivasa Rao Jammalamadaka from various countries, and covers a variety of research topics which he enjoys and contributed immensely to.



From Statistics To Mathematical Finance


From Statistics To Mathematical Finance
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Author : Dietmar Ferger
language : en
Publisher: Springer
Release Date : 2017-10-28

From Statistics To Mathematical Finance written by Dietmar Ferger and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-28 with Mathematics categories.


This book, dedicated to Winfried Stute on the occasion of his 70th birthday, presents a unique collection of contributions by leading experts in statistics, stochastic processes, mathematical finance and insurance. The individual chapters cover a wide variety of topics ranging from nonparametric estimation, regression modelling and asymptotic bounds for estimators, to shot-noise processes in finance, option pricing and volatility modelling. The book also features review articles, e.g. on survival analysis.



Long Range Dependence And Self Similarity


Long Range Dependence And Self Similarity
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Author : Vladas Pipiras
language : en
Publisher: Cambridge University Press
Release Date : 2017-04-18

Long Range Dependence And Self Similarity written by Vladas Pipiras and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-18 with Business & Economics categories.


A modern and rigorous introduction to long-range dependence and self-similarity, complemented by numerous more specialized up-to-date topics in this research area.



Statistical Modeling And Applications


Statistical Modeling And Applications
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Author : Carlos A. Coelho
language : en
Publisher: Springer Nature
Release Date : 2024-12-17

Statistical Modeling And Applications written by Carlos A. Coelho and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-17 with Mathematics categories.


In an era defined by the seamless integration of data and sophisticated analytical and modeling techniques, the quest for advanced statistical modeling and methodologies has never been more pertinent. Statistical Modeling and Applications: Multivariate, Heavy-Tailed, Skewed Distributions, Mixture and Neural-Network Modeling, Volume 2, represents a concerted effort to bridge the gap between theoretical advancements and practical applications in the realm of Statistical Science, namely in the area of Statistical Modeling. It also aims to present a wide range of emerging topics in mathematical and statistical modeling written by a group of distinguished researchers from top-tier universities and research institutes to offer broader opportunities in stimulating further collaborations in the areas of mathematics and statistics. The book has eleven chapters, divided in two Parts, with Part I comprising five chapters dealing with the application of Multivariate Analysis techniques and multivariate distributions to a set of different situations, and Part II consisting of six chapters which address the modeling of several interesting phenomena through the use of Heavy-Tailed, Skewed, Circular-Linear and Mixture Distributions, as well as Neural Networks.