Applied Directional Statistics
Modern Methods and Case Studies
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- 67,99 $US
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- 67,99 $US
Description de l’éditeur
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.
Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models
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Statistics for Fission Track Analysis
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Statistical and Computational Pharmacogenomics
2008
Time Series Modeling of Neuroscience Data
2012
Markov Chain Monte Carlo in Practice
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Meta-analysis of Binary Data Using Profile Likelihood
2008