Author: American Statistical Association. Annual MeetingPublisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 0
Book Description
Proceedings of the Statistical Computing Section
Author: American Statistical Association. Statistical Computing SectionPublisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 272
Book Description
Statistical Computing with R
Author: Maria L. RizzoPublisher: CRC Press
ISBN: 1420010719
Category : Reference
Languages : en
Pages : 412
Book Description
Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to feature R, Statistical Computing with R covers the traditiona
Proceedings of the Statistical Computing Section
Author: American Statistical Association. Annual MeetingPublisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 0
Book Description
A Guide to Statistical Computing at the University of Michigan
Author: Albert LiebetrauPublisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 110
Book Description
Handbook of Computational Statistics
Author: Yuichi MoriPublisher: Springer Science & Business Media
ISBN: 9783540404644
Category : Computers
Languages : en
Pages : 1096
Book Description
The Handbook of Computational Statistics: Concepts and Methodology is divided into four parts. It begins with an overview over the field of Computational Statistics. The second part presents several topics in the supporting field of statistical computing. Emphasis is placed on the need of fast and accurate numerical algorithms and it discusses some of the basic methodologies for transformation, data base handling and graphics treatment. The third part focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Finally a set of selected applications like Bioinformatics, Medical Imaging, Finance and Network Intrusion Detection highlight the usefulness of computational statistics.
Statistical Computing in C++ and R
Author: Randall L. EubankPublisher: CRC Press
ISBN: 1466515376
Category : Computers
Languages : en
Pages : 553
Book Description
Parallel processing can be ideally suited for the solving of more complex problems in statistical computing. This book discusses code development in C++ and R, before going beyond to look at the valuable use of these two languages in unison. It covers linear equation solution with regression and linear models motivation, optimization with maximum likelihood and nonlinear least squares motivation, and random number generation. While the text does require a working knowledge of basic concepts in statistics and experience in programming, it does not require knowledge specific to C++ or R.
Statistical Computing Section
Author: American statistical associationPublisher:
ISBN:
Category :
Languages : en
Pages : 284
Book Description
XploRe: An Interactive Statistical Computing Environment
Author: Wolfgang HärdlePublisher: Springer Science & Business Media
ISBN: 1461242142
Category : Mathematics
Languages : en
Pages : 406
Book Description
This book describes an interactive statistical computing environment called 1 XploRe. As the name suggests, support for exploratory statistical analysis is given by a variety of computational tools. XploRe is a matrix-oriented statistical language with a comprehensive set of basic statistical operations that provides highly interactive graphics, as well as a programming environ ment for user-written macros; it offers hard-wired smoothing procedures for effective high-dimensional data analysis. Its highly dynamic graphic capa bilities make it possible to construct student-level front ends for teaching basic elements of statistics. Hot keys make it an easy-to-use computing environment for statistical analysis. The primary objective of this book is to show how the XploRe system can be used as an effective computing environment for a large number of statistical tasks. The computing tasks we consider range from basic data matrix manipulations to interactive customizing of graphs and dynamic fit ting of high-dimensional statistical models. The XploRe language is similar to other statistical languages and offers an interactive help system that can be extended to user-written algorithms. The language is intuitive and read ers with access to other systems can, without major difficulty, reproduce the examples presented here and use them as a basis for further investigation.
American Statistical Association. Statistical Computing Section. Proceedings
Author: 1994 Proceedings of the Statistical Computing Section
Author: American Statistical Association. Statistical Computing SectionPublisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 299
Book Description