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Statistical computing : an introduction to data analysis using S-Plus

Statistical computing : an introduction to data analysis using S-Plus (Loan 1 times)

Material type
단행본
Personal Author
Crawley, Michael J.
Title Statement
Statistical computing : an introduction to data analysis using S-Plus / Michael J. Crawley.
Publication, Distribution, etc
Chichester :   Wiley,   c2002.  
Physical Medium
ix, 761 p. : ill. ; 26 cm.
ISBN
0471560405
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Mathematical statistics -- Data processing.
000 00978camuu2200265 a 4500
001 000045207108
005 20051122093937
008 020530s2002 enka b 001 0 eng
010 ▼a 2002283344
015 ▼a GBA2-Z5859
020 ▼a 0471560405
040 ▼a UKM ▼c UKM ▼d DLC ▼d 244002
042 ▼a lccopycat
082 0 0 ▼a 519.5/0285 ▼2 21
090 ▼a 519.50285 ▼b C911s
100 1 ▼a Crawley, Michael J.
245 1 0 ▼a Statistical computing : ▼b an introduction to data analysis using S-Plus / ▼c Michael J. Crawley.
260 ▼a Chichester : ▼b Wiley, ▼c c2002.
300 ▼a ix, 761 p. : ▼b ill. ; ▼c 26 cm.
504 ▼a Includes bibliographical references and index.
630 0 0 ▼a S-Plus.
650 0 ▼a Mathematical statistics ▼x Data processing.

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Sejong Academic Information Center/Science & Technology/ Call Number 519.50285 C911s Accession No. 151187433 Availability In loan Due Date 2007-12-30 Make a Reservation Available for Reserve R Service M

Contents information

Table of Contents

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


Information Provided By: : Aladin

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