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Hardle, Wolfgang Karl; Spokoiny, Vladimir; Panov, Vladimir; Wang, Weining - Basics of Modern Mathematical Statistics - 9783662523865 - V9783662523865
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Basics of Modern Mathematical Statistics

€ 65.94
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Description for Basics of Modern Mathematical Statistics Paperback. This book presents numerous exercises with solutions to help the reader better understand different aspects of modern statistics. It features applications with R and Matlab code that show how to practically use the methods. Series: Springer Texts in Statistics. Num Pages: 210 pages, 42 black & white illustrations, 81 colour illustrations, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 11. Weight in Grams: 332.
​The complexity of today’s statistical data calls for modern mathematical tools.  Many fields of science make use of mathematical statistics and require continuous updating on statistical technologies. Practice makes perfect,  since mastering the tools makes them applicable.  Our book of exercises and solutions offers a wide range of applications and numerical solutions based on R.
In modern mathematical statistics, the purpose is to provide statistics students with a number of basic exercises and also an understanding of how the theory can be applied to real-world problems.
The application aspect is also quite important, as most previous exercise books are mostly ... Read more

Product Details

Format
Paperback
Publication date
2016
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
210
Condition
New
Series
Springer Texts in Statistics
Number of Pages
185
Place of Publication
Berlin, Germany
ISBN
9783662523865
SKU
V9783662523865
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Hardle, Wolfgang Karl; Spokoiny, Vladimir; Panov, Vladimir; Wang, Weining
Wolfgang Karl Härdle is Professor of Statistics at the Humboldt-Universität zu Berlin and the Director of CASE – the Centre for Applied Statistics and Economics. He teaches quantitative finance and semi-parametric statistical methods. His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected member of the ISI and an advisor to the ... Read more

Reviews for Basics of Modern Mathematical Statistics
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 ... Read more

Goodreads reviews for Basics of Modern Mathematical Statistics


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