£91.06

Springer Directional Statistics for Innovative Applications

Name: Springer Directional Statistics for Innovative Applications
Brand: Springer
Price: 91.06 GBP
Availability: InStock

Higher Education

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Description

Celebrate the bicentennial of Florence Nightingale with this special contributed book from the Forum for Interdisciplinary Mathematics series. This volume serves as a statistical tribute to the legacy of the lady who gave us the rose diagram, connecting historical importance to modern mathematical necessity. This comprehensive text presents recent developments in both rigorous theory and emerging methods for applications in directional statistics. As modern statistical paradigms and statistical machine learning continue to evolve, directional statistics has become an indispensable tool for researchers and practitioners. The content covers a wide range of data, from information on circles to advanced technical applications. With 25 chapters featuring contributions from 65 renowned researchers across 25 countries, this book provides a global perspective on the field. It is an essential resource for those studying higher education mathematics and those looking to apply new techniques to complex directional data sets.

Key Features

Includes 25 chapters featuring insights from 65 renowned researchers from 25 different countries.

Covers recent developments in both rigorous theory and emerging methods for directional statistics applications.

Provides essential knowledge for modern statistical paradigms and statistical machine learning techniques.

Serves as a statistical tribute to Florence Nightingale in honor of her bicentennial.

Explores a broad range of data applications, including data on circles and advanced statistical methods.

Product Specifications

Brand: Springer
Format: Hardcover
ASIN: 981191043X
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Education > Higher Education
Domain: Amazon UK
Release Date: 16 June 2022
Listed Since: 08 February 2022

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Springer Directional Statistics for Innovative Applications

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