Library Services | Technical University of Kenya

Your cart is empty.
Normal view MARC view ISBD view

Basics of Modern Mathematical Statistics [electronic resource] : Exercises and Solutions / by Wolfgang Karl Härdle, Vladimir Spokoiny, Vladimir Panov, Weining Wang.

By: Härdle, Wolfgang Karl [author.].
Contributor(s): Spokoiny, Vladimir [author.] | Panov, Vladimir [author.] | Wang, Weining [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Springer Texts in Statistics: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014Description: XXV, 185 p. 123 illus., 81 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642368509.Subject(s): Statistics | Mathematical statistics | Economics -- Statistics | Statistics | Statistical Theory and Methods | Statistics, general | Statistics for Business/Economics/Mathematical Finance/InsuranceDDC classification: 519.5 Online resources: Click here to access online
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.  .
In: Springer eBooksSummary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

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.  .

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.

There are no comments for this item.

Log in to your account to post a comment.

2017 | The Technical University of Kenya Library | +254(020) 2219929, 3341639, 3343672 | library@tukenya.ac.ke | Haile Selassie Avenue