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Statistical Computing: An Introduction to Data Analysis using S-Plus 1st Edition
US $50.00
大約HK$ 388.61
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所在地：Huntsville, Alabama, 美國
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- Subject
- Statistics
- ISBN
- 9780471560401
關於產品
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471560405
ISBN-13
9780471560401
eBay Product ID (ePID)
2351150
Product Key Features
Number of Pages
772 Pages
Language
English
Publication Name
Statistical Computing : an Introduction to Data Analysis Using S-Plus
Subject
Mathematical & Statistical Software, Probability & Statistics / General
Publication Year
2002
Type
Textbook
Subject Area
Mathematics, Computers
Format
Hardcover
Dimensions
Item Height
2 in
Item Weight
63.1 Oz
Item Length
9.9 in
Item Width
7.7 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2002-283344
Dewey Edition
21
Reviews
"...suitable as a reference book for experienced statisticians, a vehicle for learning the S statistical computing language, or a resource for statistics instructors..." ( The American Statistician , Vol. 58, No. 1, February 2004) "...especially useful as an introduction to a wide variety of data analysis techniques." ( R News ) "...The book is well written - there is an air of common sense throughout - and is at a level which ensures its usefulness for a wide range of readers..." ( Zentralblatt Math , Vol. 1001, No.01, 2003) "...the book is a useful and practical introduction to many areas of statistical data analysis." ( Computational STatistics & Data Analysis ) "...surely not the last statistics book you'll ever need, but it might well be the first you will ever really use." ( Basic Applied Ecology , Vol. 4, No. 3) "...recommended...contains a wealth of sage advice..." ( Technometrics , Vol. 45, No. 4, November 2003) "...a practical introduction to statistics...does not cover all...sophisticated statistical and graphical features of the S-Plus system, but provides a first class starting point-and, probably, for most readers, a sufficient end point." ( Quarterly of Applied Mathematics , LXI, No. 4, December 2003) "...a valiant and useful first attempt to present both statistics and S-PLUS together..." (Journal of The Royal Statistical Society Vol.167 No.4) , "...suitable as a reference book for experienced statisticians, a vehicle for learning the S statistical computing language, or a resource for statistics instructors..." ( The American Statistician , Vol. 58, No. 1, February 2004) "...especially useful as an introduction to a wide variety of data analysis techniques." ( R News ) "...The book is well written - there is an air of common sense throughout - and is at a level which ensures its usefulness for a wide range of readers..." ( Zentralblatt Math , Vol. 1001, No.01, 2003) "...the book is a useful and practical introduction to many areas of statistical data analysis." ( Computational STatistics & Data Analysis ) "...surely not the last statistics book you'll ever need, but it might well be the first you will ever really use." ( Basic Applied Ecology , Vol. 4, No. 3) "...recommended...contains a wealth of sage advice..." ( Technometrics , Vol. 45, No. 4, November 2003) "...a practical introduction to statistics...does not cover all...sophisticated statistical and graphical features of the S-Plus system, but provides a first class starting point--and, probably, for most readers, a sufficient end point." ( Quarterly of Applied Mathematics , LXI, No. 4, December 2003) "...a valiant and useful first attempt to present both statistics and S-PLUS together..." (Journal of The Royal Statistical Society Vol.167 No.4)
Illustrated
Yes
Dewey Decimal
519.5/0285
Table Of Content
Statistical methods Introduction to S-Plus Experimental design Central tendency Probability Variance The Normal distribution Power calculations Understanding data: graphical analysis Understanding data: tabular analysis Classical tests Bootstrap and jackknife Statistical models in S-Plus Regression Analysis of variance Analysis of covariance Model criticism Contrasts Split-plot Anova Nested designs and variance components analysis Graphs, functions and transformations Curve fitting and piecewise regression Non-linear regression Multiple regression Model simplification Probability distributions Generalised linear models Proportion data: binomial errors Count data: Poisson errors Binary response variables Tree models Non-parametric smoothing Survival analysis Time series analysis Mixed effects models Spatial statistics Bibliography Index
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 a first-rate graphical environment, used by thousands worldwide to perform basic, intermediate and advanced statistical analysis. It is remarkably powerful, yet relatively simple to use, once you have the basics at your fingertips. Statistical Computing: An Introduction to Data Analysis using S-Plus provides a pragmatic introduction to analysing data using S-Plus, whilst covering a huge breadth of topics, and assuming minimal statistical knowledge. Provides an accessible yet comprehensive introduction to statistical computing, and can be used as a reference volume for S-Plus. Covers a breadth of topics, including the basics, such as sampling and measures of central tendency and variation; the intermediate, such as analysis of variance and regression; and the most advanced modern methods, such as nonlinear mixed effects modelling and tree models. Develops each concept from first principles in small steps, with worked examples and implementation advice throughout. Assumes minimal experience of statistics and computing. Emphasises graphical data inspection, parameter estimation and model criticism. Supported by a Web site featuring all the data-frames, along with problems and worked examples. This is very much an introductory statistics book for all scientists. It is based on the premise that effective data analysis requires the mastery of a core of central ideas and methods, and that these cut across the boundaries of academic disciplines. It is suitable for advanced undergraduate, graduate students, researchers, and industry professionals from science, medicine, engineering, economics, the social sciences, and many other disciplines that have a need for statistical data analysis., S-Plus gehört ohne Zweifel zu den leistungsfähigsten und flexibelsten Softwarepaketen für die Statistik. Es umfa t 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., 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.
LC Classification Number
QA276.4.C73 2002
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