Basics of Modern Mathematical Statistics

Exercises and Solutions

  • Wolfgang Karl Härdle
  • Vladimir Spokoiny
  • Vladimir Panov
  • Weining Wang
Part of the Springer Texts in Statistics book series (STS)

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Wolfgang Karl Härdle, Vladimir Spokoiny, Vladimir Panov, Weining Wang
    Pages 1-8
  3. Wolfgang Karl Härdle, Vladimir Spokoiny, Vladimir Panov, Weining Wang
    Pages 9-51
  4. Wolfgang Karl Härdle, Vladimir Spokoiny, Vladimir Panov, Weining Wang
    Pages 53-72
  5. Wolfgang Karl Härdle, Vladimir Spokoiny, Vladimir Panov, Weining Wang
    Pages 73-106
  6. Wolfgang Karl Härdle, Vladimir Spokoiny, Vladimir Panov, Weining Wang
    Pages 107-128
  7. Wolfgang Karl Härdle, Vladimir Spokoiny, Vladimir Panov, Weining Wang
    Pages 129-158
  8. Wolfgang Karl Härdle, Vladimir Spokoiny, Vladimir Panov, Weining Wang
    Pages 159-166
  9. Wolfgang Karl Härdle, Vladimir Spokoiny, Vladimir Panov, Weining Wang
    Pages 167-182
  10. Back Matter
    Pages 183-185

About this book

Introduction

​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 on theoretical derivations. Also we add some problems from topics often encountered in recent research papers.
The book was written for statistics students with one or two years of coursework in mathematical statistics and probability, professors who hold courses in mathematical statistics, and researchers in other fields who would like to do some exercises on math statistics.

Keywords

Bayes estimation Modern statistics Parameter estimation Regression Statistical tests

Authors and affiliations

  • Wolfgang Karl Härdle
    • 1
  • Vladimir Spokoiny
    • 2
  • Vladimir Panov
    • 3
  • Weining Wang
    • 4
  1. 1.C.A.S.E. Centre f. Appl. Stat. & Econ. School of Business and EconomicsHumboldt-Universität zu Berlin L.v.Bortkiewicz Chair of StatisticsBerlinGermany
  2. 2.Weierstrass Institute for Applied Analysis and Stochastics (WIAS)BerlinGermany
  3. 3.Universität Duisburg-EssenEssenGermany
  4. 4.Chair of Statistics C.A.S.E. Center for Applied Statistics & EconomicsHumboldt University at Berlin Ladislaus von BortkiewiczBerlinGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-36850-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-36849-3
  • Online ISBN 978-3-642-36850-9
  • Series Print ISSN 1431-875X
  • Series Online ISSN 2197-4136
  • About this book