The Skew-Normal and Related Families

Nonfiction, Science & Nature, Mathematics, Statistics, Business & Finance
Cover of the book The Skew-Normal and Related Families by Adelchi Azzalini, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Adelchi Azzalini ISBN: 9781107720640
Publisher: Cambridge University Press Publication: December 19, 2013
Imprint: Cambridge University Press Language: English
Author: Adelchi Azzalini
ISBN: 9781107720640
Publisher: Cambridge University Press
Publication: December 19, 2013
Imprint: Cambridge University Press
Language: English

Interest in the skew-normal and related families of distributions has grown enormously over recent years, as theory has advanced, challenges of data have grown, and computational tools have made substantial progress. This comprehensive treatment, blending theory and practice, will be the standard resource for statisticians and applied researchers. Assuming only basic knowledge of (non-measure-theoretic) probability and statistical inference, the book is accessible to the wide range of researchers who use statistical modelling techniques. Guiding readers through the main concepts and results, it covers both the probability and the statistics sides of the subject, in the univariate and multivariate settings. The theoretical development is complemented by numerous illustrations and applications to a range of fields including quantitative finance, medical statistics, environmental risk studies, and industrial and business efficiency. The author's freely available R package sn, available from CRAN, equips readers to put the methods into action with their own data.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Interest in the skew-normal and related families of distributions has grown enormously over recent years, as theory has advanced, challenges of data have grown, and computational tools have made substantial progress. This comprehensive treatment, blending theory and practice, will be the standard resource for statisticians and applied researchers. Assuming only basic knowledge of (non-measure-theoretic) probability and statistical inference, the book is accessible to the wide range of researchers who use statistical modelling techniques. Guiding readers through the main concepts and results, it covers both the probability and the statistics sides of the subject, in the univariate and multivariate settings. The theoretical development is complemented by numerous illustrations and applications to a range of fields including quantitative finance, medical statistics, environmental risk studies, and industrial and business efficiency. The author's freely available R package sn, available from CRAN, equips readers to put the methods into action with their own data.

More books from Cambridge University Press

Cover of the book The Last Ottoman Generation and the Making of the Modern Middle East by Adelchi Azzalini
Cover of the book Intelligence Power in Peace and War by Adelchi Azzalini
Cover of the book Copyright and the Value of Performance, 1770–1911 by Adelchi Azzalini
Cover of the book Empowering Leadership of Tomorrow by Adelchi Azzalini
Cover of the book Literacies by Adelchi Azzalini
Cover of the book Alexander the Great by Adelchi Azzalini
Cover of the book The Philosophical Writings of Descartes: Volume 1 by Adelchi Azzalini
Cover of the book The Cambridge Companion to British Romantic Poetry by Adelchi Azzalini
Cover of the book Law and the New Developmental State by Adelchi Azzalini
Cover of the book Presenteeism at Work by Adelchi Azzalini
Cover of the book Acute Stroke Care by Adelchi Azzalini
Cover of the book Learning to Read across Languages and Writing Systems by Adelchi Azzalini
Cover of the book Determining Legal Parentage by Adelchi Azzalini
Cover of the book The Bank of England by Adelchi Azzalini
Cover of the book The Origins of International Investment Law by Adelchi Azzalini
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy