› › Data Structures For Computational Statistics

Data Structures for Computational Statistics

Author : S. Klinke

Publisher : Springer Science & Business Media

Page : 296 pages

File Size : 48,86 MB

Release : 1997-05-20

Category : Business & Economics

ISBN : 9783790809824

Get eBook

Book Description

The development of data structures for a statistical software system is treated in this book. Data structures, e.g. storage of statistical data, handling of different kind of graphics, are very important in designing a software system. A misspecification or too narrow approach will lead to an enormous amount of reprogramming if it is possible. Chapters deal with exploratory statistical techniques, some statistical applications, exploratory projection pursuit, data structures and implementation in XploRe. Examples are given with several statistical techniques, e.g. teachware, cluster anaylsis, non-parametric regression and exploratory projection pursuit.



Data Structures for Computational Statistics

Author : Sigbert Klinke

Publisher : Springer Science & Business Media

Page : 287 pages

File Size : 14,35 MB

Release : 2012-12-06

Category : Computers

ISBN : 3642592422

Get eBook

Book Description

Since the beginning of the seventies computer hardware is available to use programmable computers for various tasks. During the nineties the hardware has developed from the big main frames to personal workstations. Nowadays it is not only the hardware which is much more powerful, but workstations can do much more work than a main frame, compared to the seventies. In parallel we find a specialization in the software. Languages like COBOL for business orientated programming or Fortran for scientific computing only marked the beginning. The introduction of personal computers in the eighties gave new impulses for even further development, already at the beginning of the seven ties some special languages like SAS or SPSS were available for statisticians. Now that personal computers have become very popular the number of pro grams start to explode. Today we will find a wide variety of programs for almost any statistical purpose (Koch & Haag 1995).





Elements of Computational Statistics

Author : James E. Gentle

Publisher : Springer Science & Business Media

Page : 427 pages

File Size : 42,23 MB

Release : 2006-04-18

Category : Computers

ISBN : 0387216111

Get eBook

Book Description

Will provide a more elementary introduction to these topics than other books available; Gentle is the author of two other Springer books



Computational Statistics

Author :

Publisher : Springer Science & Business Media

Page : 732 pages

File Size : 42,19 MB

Release : 2010-04-29

Category : Mathematics

ISBN : 0387981454

Get eBook

Book Description

Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods.



COMPSTAT

Author :

Publisher :

Page : 364 pages

File Size : 17,82 MB

Release : 1990

Category : Mathematical statistics

ISBN :

Get eBook

Book Description

Proceedings of symposia held 1974-



Computational Statistics in Data Science

Author : Richard A. Levine

Publisher : John Wiley & Sons

Page : 672 pages

File Size : 22,50 MB

Release : 2022-03-23

Category : Mathematics

ISBN : 1119561086

Get eBook

Book Description

Ein unverzichtbarer Leitfaden bei der Anwendung computergestützter Statistik in der modernen Datenwissenschaft In Computational Statistics in Data Science präsentiert ein Team aus bekannten Mathematikern und Statistikern eine fundierte Zusammenstellung von Konzepten, Theorien, Techniken und Praktiken der computergestützten Statistik für ein Publikum, das auf der Suche nach einem einzigen, umfassenden Referenzwerk für Statistik in der modernen Datenwissenschaft ist. Das Buch enthält etliche Kapitel zu den wesentlichen konkreten Bereichen der computergestützten Statistik, in denen modernste Techniken zeitgemäß und verständlich dargestellt werden. Darüber hinaus bietet Computational Statistics in Data Science einen kostenlosen Zugang zu den fertigen Einträgen im Online-Nachschlagewerk Wiley StatsRef: Statistics Reference Online. Außerdem erhalten die Leserinnen und Leser: * Eine gründliche Einführung in die computergestützte Statistik mit relevanten und verständlichen Informationen für Anwender und Forscher in verschiedenen datenintensiven Bereichen * Umfassende Erläuterungen zu aktuellen Themen in der Statistik, darunter Big Data, Datenstromverarbeitung, quantitative Visualisierung und Deep Learning Das Werk eignet sich perfekt für Forscher und Wissenschaftler sämtlicher Fachbereiche, die Techniken der computergestützten Statistik auf einem gehobenen oder fortgeschrittenen Niveau anwenden müssen. Zudem gehört Computational Statistics in Data Science in das Bücherregal von Wissenschaftlern, die sich mit der Erforschung und Entwicklung von Techniken der computergestützten Statistik und statistischen Grafiken beschäftigen.



Elements of Statistical Computing

Author : R.A. Thisted

Publisher : Routledge

Page : 448 pages

File Size : 25,24 MB

Release : 2017-10-19

Category : Mathematics

ISBN : 1351452754

Get eBook

Book Description

Statistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements of Statistical Computing covers the broad usage of computing in statistics. It provides a comprehensive account of the most important computational statistics. Included are discussions of numerical analysis, numerical integration, and smoothing. The author give special attention to floating point standards and numerical analysis; iterative methods for both linear and nonlinear equation, such as Gauss-Seidel method and successive over-relaxation; and computational methods for missing data, such as the EM algorithm. Also covered are new areas of interest, such as the Kalman filter, projection-pursuit methods, density estimation, and other computer-intensive techniques.



Handbook of Computational Statistics

Author : Yuichi Mori

Publisher : Springer Science & Business Media

Page : 1096 pages

File Size : 26,61 MB

Release : 2004-07-14

Category : Computers

ISBN : 9783540404644

Get eBook

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.



Compstat

Author : Wolfgang Ha rdle

Publisher : Boom Koninklijke Uitgevers

Page : 664 pages

File Size : 16,13 MB

Release : 2002-07-23

Category : Business & Economics

ISBN : 9783790815177

Get eBook

Book Description

This COMPSTAT 2002 book contains the Keynote, Invited, and Full Contributed papers presented in Berlin, August 2002. A companion volume including Short Communications and Posters is published on CD. The COMPSTAT 2002 is the 15th conference in a serie of biannual conferences with the objective to present the latest developments in Computational Statistics and is taking place from August 24th to August 28th, 2002. Previous COMPSTATs were in Vienna (1974), Berlin (1976), Leiden (1978), Edinburgh (1980), Toulouse (1982), Pra~ue (1984), Rome (1986), Copenhagen (1988), Dubrovnik (1990), Neuchatel (1992), Vienna (1994), Barcelona (1996), Bris tol (1998) and Utrecht (2000). COMPSTAT 2002 is organised by CASE, Center of Applied Statistics and Eco nomics at Humboldt-Universitat zu Berlin in cooperation with F'reie Universitat Berlin and University of Potsdam. The topics of COMPSTAT include methodological applications, innovative soft ware and mathematical developments, especially in the following fields: statistical risk management, multivariate and robust analysis, Markov Chain Monte Carlo Methods, statistics of E-commerce, new strategies in teaching (Multimedia, In ternet), computerbased sampling/questionnaires, analysis of large databases (with emphasis on computing in memory), graphical tools for data analysis, classification and clustering, new statistical software and historical development of software.