Modern applied statistics with S:
Data analysis, computing.
Saved in:
| Previous Title: | Venables, William N. Modern applied statistics with S-PLUS |
|---|---|
| Main Author: | |
| Format: | Book |
| Language: | English |
| Published: |
New York, NY
Springer
2002
|
| Edition: | 4. ed. |
| Series: | Statistics and computing
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Summary: | Data analysis, computing. |
| Item Description: | Früher u.d.T.: Venables, William N.: Modern applied statistics with S-Plus |
| Physical Description: | XI, 495 S. graph. Darst. |
| ISBN: | 9780387954578 0387954570 |
Staff View
MARC
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| 245 | 1 | 0 | |a Modern applied statistics with S |c W. N. Venables ; B. D. Ripley |
| 250 | |a 4. ed. | ||
| 264 | 1 | |a New York, NY |b Springer |c 2002 | |
| 300 | |a XI, 495 S. |b graph. Darst. | ||
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| 500 | |a Früher u.d.T.: Venables, William N.: Modern applied statistics with S-Plus | ||
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| 650 | 4 | |a Statistik | |
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Record in the Search Index
| _version_ | 1804129273052659712 |
|---|---|
| adam_text | Contents
Preface v
Typographical Conventions
xi
1
Introduction
1
1.1
A Quick Overview of
S
....................... 3
1.2
Using
S
............................... 5
1.3
An Introductory Session
...................... 6
1.4
What Next?
............................. 12
2
Data Manipulation
13
2.1
Objects
............................... 13
2.2
Connections
............................. 20
2.3
Data Manipulation
......................... 27
2.4
Tables and Cross-Classification
................... 37
3
The
S
Language
41
3.1
Language Layout
.......................... 41
3.2
More on
S
Objects
......................... 44
3.3
Arithmetical Expressions
...................... 47
3.4
Character Vector Operations
.................... 51
3.5
Formatting and Printing
....................... 54
3.6
Calling Conventions for Functions
................. 55
3.7
Model Formulae
........................... 56
3.8
Control Structures
.......................... 58
3.9
Array and Matrix Operations
.................... 60
3.10
Introduction to Classes and Methods
................ 66
4
Graphics
69
4.1
Graphics Devices
.......................... 71
4.2
Basic Plotting Functions
...................... 72
4.3
Enhancing
Plots
........................... 77
4.4
Fine Control of Graphics
...................... 82
4.5
Trellis Graphics
........................... 89
5
Univariate Statistics
107
5.1
Probability Distributions
......................107
5.2
Generating Random Data
......................110
5.3
Data Summaries
...........................
Ill
5.4
Classical Univariate Statistics
....................115
5.5
Robust Summaries
.........................119
5.6
Density Estimation
.........................126
5.7
Bootstrap and Permutation Methods
................133
6
Linear Statistical Models
139
6.1
An Analysis of Covariance Example
................139
6.2
Model Formulae and Model Matrices
...............144
6.3
Regression Diagnostics
.......................151
6.4
Safe Prediction
...........................155
6.5
Robust and Resistant Regression
..................156
6.6
Bootstrapping Linear Models
....................163
6.7
Factorial Designs and Designed Experiments
...........165
6.8
An Unbalanced Four-Way Layout
.................169
6.9
Predicting Computer Performance
.................177
6.10
Multiple Comparisons
.......................178
7
Generalized Linear Models
183
7.1
Functions for Generalized Linear Modelling
............187
7.2
Binomial Data
............................190
7.3
Poisson
and Multinomial Models
..................199
7.4
A Negative Binomial Family
....................206
7.5
Over-Dispersion in Binomial and
Poisson
GLMs
.........208
8
Non-
Linear and Smooth Regression
211
8.1
An Introductory Example
......................211
8.2
Fitting Non-Linear Regression Models
...............212
8.3
Non-Linear Fitted Model Objects and Method Functions
.....217
8.4
Confidence Intervals for Parameters
................220
8.5
Profiles
...............................226
8.6
Constrained Non-Linear
Regression................ 227
8.7
One-Dimensional Curve-Fitting
.................. 228
8.8
Additive Models
.......................... 232
8.9
Projection-Pursuit Regression
................... 238
8.10
Neural Networks
.......................... 243
8.11
Conclusions
............................. 249
9
Tree-Based Methods
251
9.1
Partitioning Methods
........................ 253
9.2
Implementation in rpart
...................... 258
9.3
Implementation in tree
...................... 266
10
Random and Mixed Effects
271
10.1
Linear Models
............................ 272
10.2
Classic Nested Designs
....................... 279
10.3
Non-Linear Mixed Effects Models
................. 286
10.4
Generalized Linear Mixed Models
................. 292
10.5
GEE Models
............................. 299
11
Exploratory Multivariate Analysis
301
11.1
Visualization Methods
....................... 302
11.2
Cluster Analysis
........................... 315
11.3
Factor Analysis
........................... 321
11.4
Discrete Multivariate Analysis
................... 325
12
Classification
331
12.1
Discriminant Analysis
....................... 331
12.2
Classification Theory
........................ 338
12.3
Non-Parametric Rules
........................ 341
12.4
Neural Networks
.......................... 342
12.5
Support Vector Machines
...................... 344
12.6
Forensic Glass Example
...................... 346
12.7
Calibration Plots
.......................... 349
13
Survival Analysis
353
13.1
Estimators of Survivor Curves
................... 355
13.2
Parametric Models
......................... 359
13.3
Cox Proportional Hazards Model
.................. 365
13.4
Further Examples
..........................371
14
Time Series Analysis
387
14.1
Second-Order Summaries
......................389
14.2
ARMA
Models
...........................397
14.3
Seasonally
.............................403
14.4
Nottingham Temperature Data
...................406
14.5
Regression with Autocorrelated Errors
...............411
14.6
Models for Financial Series
.....................414
15
Spatial Statistics
419
15.1
Spatial Interpolation and Smoothing
................419
15.2
Kriging
...............................425
15.3
Point Process Analysis
.......................430
16
Optimization
435
16.1
Univariate Functions
........................435
16.2
Special-Purpose Optimization Functions
..............436
16.3
General Optimization
........................436
Appendices
A Implementation-Specific Details
447
A.I Using S-PLUS under Unix
/
Linux
.................447
A.2 Using S-PLUS under Windows
...................450
A.3 Using
R
under Unix
/
Linux
....................453
A.4 Using
R
under Windows
......................454
A.5 For Emacs Users
..........................455
В
The S-PLUS GUI
457
C Datasets,
Software and Libraries
461
C.I Our Software
............................461
C.2 Using Libraries
...........................462
References
465
Index
481
|
| any_adam_object | 1 |
| author | Venables, William N. |
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| author_facet | Venables, William N. |
| author_role | aut |
| author_sort | Venables, William N. |
| author_variant | w n v wn wnv |
| building | Verbundindex |
| bvnumber | BV014420582 |
| callnumber-first | Q - Science |
| callnumber-label | QA276 |
| callnumber-raw | QA276.4 |
| callnumber-search | QA276.4 |
| callnumber-sort | QA 3276.4 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | CM 4400 MR 2200 SK 850 ST 250 ST 320 ST 600 ST 601 |
| ctrlnum | (OCoLC)248474156 (DE-599)BVBBV014420582 |
| dewey-full | 005.369 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.369 |
| dewey-search | 005.369 |
| dewey-sort | 15.369 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Soziologie Psychologie Mathematik |
| edition | 4. ed. |
| format | Book |
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| illustrated | Illustrated |
| indexdate | 2024-07-09T19:02:31Z |
| institution | BVB |
| isbn | 9780387954578 0387954570 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009858652 |
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| series2 | Statistics and computing |
| spelling | Venables, William N. Verfasser aut Modern applied statistics with S W. N. Venables ; B. D. Ripley 4. ed. New York, NY Springer 2002 XI, 495 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Statistics and computing Früher u.d.T.: Venables, William N.: Modern applied statistics with S-Plus Data analysis, computing. S (Computer system) Statistik - S <Programmiersprache> Datenverarbeitung Statistik Mathematical statistics Data processing Statistics Data processing Statistik (DE-588)4056995-0 gnd rswk-swf S Programmiersprache (DE-588)4234472-4 gnd rswk-swf S Programmiersprache (DE-588)4234472-4 s Statistik (DE-588)4056995-0 s DE-604 Ripley, Brian D. 1952- Sonstige (DE-588)124271413 oth Bis 3. Auflage Venables, William N. Modern applied statistics with S-PLUS (DE-604)BV012766743 Digitalisierung UB Passau application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009858652&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Venables, William N. Modern applied statistics with S S (Computer system) Statistik - S <Programmiersprache> Datenverarbeitung Statistik Mathematical statistics Data processing Statistics Data processing Statistik (DE-588)4056995-0 gnd S Programmiersprache (DE-588)4234472-4 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4234472-4 |
| title | Modern applied statistics with S |
| title_auth | Modern applied statistics with S |
| title_exact_search | Modern applied statistics with S |
| title_full | Modern applied statistics with S W. N. Venables ; B. D. Ripley |
| title_fullStr | Modern applied statistics with S W. N. Venables ; B. D. Ripley |
| title_full_unstemmed | Modern applied statistics with S W. N. Venables ; B. D. Ripley |
| title_old | Venables, William N. Modern applied statistics with S-PLUS |
| title_short | Modern applied statistics with S |
| title_sort | modern applied statistics with s |
| topic | S (Computer system) Statistik - S <Programmiersprache> Datenverarbeitung Statistik Mathematical statistics Data processing Statistics Data processing Statistik (DE-588)4056995-0 gnd S Programmiersprache (DE-588)4234472-4 gnd |
| topic_facet | S (Computer system) Statistik - S <Programmiersprache> Datenverarbeitung Statistik Mathematical statistics Data processing Statistics Data processing S Programmiersprache |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009858652&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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