Statistical Computing : An Introduction to Data Analysis Using S-Plus

Michael J Crawley

ISBN 10: 0471560405 / ISBN 13: 9780471560401

Published by Wiley Mai 2002, 2002

About this Item

Neuware - S-Plus gehört ohne Zweifel zu den leistungsfähigsten und flexibelsten Softwarepaketen für die Statistik. Es umfaßt vielfältigste statistische Methoden von der einfachen Regression bis hin zu Zeitreihen oder multivariater Analyse. Mit diesem Buch arbeiten Sie sich auch als Nicht-Statistiker in grundlegende und fortgeschrittene statistische Verfahren ein; ein Schwerpunkt liegt auf der graphischen Darstellung. Hunderte Beispiele veranschaulichen die Verfahren. Die zugehörige Website enthält Beispiele, Datensammlungen, Übungen und Lösungen.

Seller Inventory # 9780471560401

Bibliographic Details

• Title: Statistical Computing : An Introduction to Data Analysis Using S-Plus
• Publisher: Wiley Mai 2002
• Publication Date: 2002
• Language: English
• ISBN 10: 0471560405
• ISBN 13: 9780471560401
• Binding: Buch
• Condition: Neu
• Dimensions: 266W x 184H x 47D millimeters 266 millimeters width by 184 millimeters height by 47 millimeters depth
• Weight: 1801 grams

About this title

Synopsis

Many statistical modelling and data analysis techniques can be difficult to grasp and apply, and it is often necessary to use computer software to aid the implementation of large data sets and to obtain useful results. S-Plus is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply a number of statistical methods, ranging from simple regression to time series or multivariate analysis. This text offers extensive coverage of many basic and more advanced statistical methods, concentrating on graphical inspection, and features step-by-step instructions to help the non-statistician to understand fully the methodology.
* Extensive coverage of basic, intermediate and advanced statistical methods
* Uses S-Plus, which is recognised globally as one of the most powerful and flexible statistical software packages
* Emphasis is on graphical data inspection, parameter estimation and model criticism
* Features hundreds of worked examples to illustrate the techniques described
* Accessible to scientists from a large number of disciplines with minimal statistical knowledge
* Written by a leading figure in the field, who runs a number of successful international short courses
* Accompanied by a Web site featuring worked examples, data sets, exercises and solutions
A valuable reference resource for researchers, professionals, lecturers and students from statistics, the life sciences, medicine, engineering, economics and the social sciences.

About the Author

Michael J. Crawley, FRS, is with the Department of Biological Sciences, Imperial College of Science, Technology and Medicine. He is the author of three bestselling Wiley statistics titles and five life science books.