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B01=Christophe Ley
B01=Thomas Verdebout
Category1=Non-Fiction
Category=PBT
Category=RBGK
COP=United Kingdom
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€100 and above
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Applied Directional Statistics: Modern Methods and Case Studies

★★★★★
★★★★★

English

This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics (CRC Press, 2017). The field of directional statistics has received a lot of attention due to demands from disciplines such as life sciences or machine learning, the availability of massive data sets requiring adapted statistical techniques, and technological advances. This book covers important progress in bioinformatics, biology, astrophysics, oceanography, environmental sciences, earth sciences, machine learning and social sciences.

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€127.29
€133.99
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Age Group_Uncategorizedautomatic-updateB01=Christophe LeyB01=Thomas VerdeboutCategory1=Non-FictionCategory=PBTCategory=RBGKCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€100 and abovePS=Activesoftlaunch
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Product Details
  • Weight: 660g
  • Dimensions: 156 x 234mm
  • Publication Date: 10 Sep 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781138626430

About

Christophe Ley is professor of mathematical statistics at Ghent University. His research interests include semi-parametrically efficient inference flexible modeling directional statistics sport statistics and the study of asymptotic approximations via Steins Method. His achievements include the Marie-Jeanne Laurent-Duhamel prize of the Société Française de Statistique and an elected membership of the International Statistical Institute. He is associate editor for the journals Computational Statistics & Data Analysis Annals of the Institute of Statistical Mathematics 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.

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