Description 
1 online resource 
Series 
Springer texts in statistics 

Springer texts in statistics.

Contents 
Basics  Parameter Estimation for an i.i.d. Model  Parameter Estimation for a Regression Model  Estimation in Linear Models  Bayes Estimation  Testing a Statistical Hypothesis  Testing in Linear Models  Some Other Testing Methods 
Summary 
The complexity of todays 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 realworld 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 
Notes 
Includes index 

Print version record 
Subject 
Mathematical statistics  Examinations, questions, etc.

Genre/Form 
Examinations.


Examinations.

Form 
Electronic book

Author 
Härdle, Wolfgang, author

ISBN 
3642368506 (electronic bk.) 

9783642368509 (electronic bk.) 
