"synopsis" may belong to another edition of this title.
From the reviews:
“The book ‘Basics of model mathematical statistics’ is built as a series of focused exercises revolving around parameter estimation, linear models, Bayesian estimation and statistical hypothesis testing. ... This book is a valuable resource for undergraduates and post-graduates alike. The detailed proofs and the R code and output make it a must have for the understanding of modern mathematical statistics.” (Irina Ioana Mohorianu, zbMATH, Vol. 1286 (1), 2014)Vladimir Spokoiny defended his PhD at the Lomonosoff State University Moscow in 1988. Since 2000 he has been the head of the research group “Nonparametric Statistics” at the Weierstrass Institute Berlin, and since 2002 he has served as a professor of Statistics and Economics at the Humboldt University Berlin.
Thorsten Dickhaus received his Ph. D. from Heinrich-Heine-University Düsseldorf in 2008. After postdoc positions at the German Diabetes Center Düsseldorf and Berlin Institute of Technology, he became a junior professor of Mathematical Statistics at the Humboldt University Berlin in 2010.
"About this title" may belong to another edition of this title.
Shipping:
£ 3.20
Within U.S.A.
Book Description Condition: New. pp. x+302. Seller Inventory # 2698171371
Book Description Condition: New. pp. x+302 Illus. Seller Inventory # 95307316
Book Description Hardcover. Condition: new. Seller Inventory # 9783642399084
Book Description Condition: New. Seller Inventory # ABLIING23Mar3113020226008
Book Description Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Seller Inventory # ria9783642399084_lsuk
Book Description Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook provides a unified and self-contained presentation of the main approaches to and ideas of mathematical statistics. It collects the basic mathematical ideas and tools needed as a basis for more serious study or even independent research in statistics. The majority of existing textbooks in mathematical statistics follow the classical asymptotic framework. Yet, as modern statistics has changed rapidly in recent years, new methods and approaches have appeared. The emphasis is on finite sample behavior, large parameter dimensions, and model misspecifications. The present book provides a fully self-contained introduction to the world of modern mathematical statistics, collecting the basic knowledge, concepts and findings needed for doing further research in the modern theoretical and applied statistics. This textbook is primarily intended for graduate and postdoc students and young researchers who are interested in modern statistical methods. 316 pp. Englisch. Seller Inventory # 9783642399084
Book Description Condition: New. Seller Inventory # 5059466
Book Description Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook provides a unified and self-contained presentation of the main approaches to and ideas of mathematical statistics. It collects the basic mathematical ideas and tools needed as a basis for more serious study or even independent research in statistics. The majority of existing textbooks in mathematical statistics follow the classical asymptotic framework. Yet, as modern statistics has changed rapidly in recent years, new methods and approaches have appeared. The emphasis is on finite sample behavior, large parameter dimensions, and model misspecifications. The present book provides a fully self-contained introduction to the world of modern mathematical statistics, collecting the basic knowledge, concepts and findings needed for doing further research in the modern theoretical and applied statistics. This textbook is primarily intended for graduate and postdoc students and young researchers who are interested in modern statistical methods. Seller Inventory # 9783642399084