Complex Models and Computational Methods in Statistics

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Grigoletto, Matteo (Επιμελητής έκδοσης), Lisi, Francesco (Επιμελητής έκδοσης), Petrone, Sonia (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Milano : Springer Milan : Imprint: Springer, 2013.
• Σειρά: Contributions to Statistics,
• Θέματα: Statistics.; Business.; Management science.; Biostatistics.; Mathematics.; Social sciences.; Statistical Theory and Methods.; Mathematics in the Humanities and Social Sciences.; Business and Management, general.
• Φυσική περιγραφή: VIII, 228 p. online resource.
• ISBN: 9788847028715
• ISSN: 1431-1968

The use of computational methods in statistics to face complex problems and highly dimensional data, as well as the widespread availability of computer technology, is no news. The range of applications, instead, is unprecedented. As often occurs, new and complex data types require new strategies, demanding for the development of novel statistical methods and suggesting stimulating mathematical problems. This book is addressed to researchers working at the forefront of the statistical analysis of complex systems and using computationally intensive statistical methods.