Univariate time series in geosciences: theory and examples
The author introduces the statistical analysis of geophysical time series. The book includes also a chapter with an introduction to geostatistics, many examples and exercises which help the reader to work with typical problems. More complex derivations are provided in appendix-like supplements to ea...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2006
|
| Schlagworte: | |
| Online-Zugang: | Klappentext Inhaltsverzeichnis |
| Zusammenfassung: | The author introduces the statistical analysis of geophysical time series. The book includes also a chapter with an introduction to geostatistics, many examples and exercises which help the reader to work with typical problems. More complex derivations are provided in appendix-like supplements to each chapter. Readers are assumed to have a basic grounding in statistics and analysis. The reader is invited to learn actively from genuine geophysical data. He has to consider the applicability of statistical methods, to propose, estimate, evaluate and compare statistical models, and to draw conclusions. The author focuses on the conceptual understanding. The example time series and the exercises lead the reader to explore the meaning of concepts such as the estimation of the linear time series (AMRA) models or spectra. This book is also a guide to using "R" for the statistical analysis of time series. "R" is a powerful environment for the statistical and graphical analysis of data."R" is available under GNU conditions |
| Beschreibung: | XVII, 718 S. zahlr. graph. Darst., Kt. |
| ISBN: | 3540238107 9783540238102 |
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Datensatz im Suchindex
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| adam_text | Contents
Introduction
1.1 Data in Geosciences:
Records
1.2 R..................................................... 8
1.3
1.3.1
1.3.2
Theorem
1.3.3
1.3.4
1.4
1.4.1
1.4.2
Measurements
1.5
1.5.1
Variables
1.5.2
1.5.3
Variables
1.5.4
1.5.5
1.6
Stationary Stochastic Processes
2.1
2.2
2.2.1
2.2.2 1st
2.2.3
2.3
2.3.1
2.3.2
2.3.3
2.3.4
XII
2.3.5 Linear
2.4
2.4.1
2.4.2
2.4.3
2.4.4
2.5
2.5.1
2.5.2
2.6
Stochastic Process
2.6.1
Stationary Time Series
2.6.2
2.7
2.8
2.8.1
Processes
2.8.2
2.8.3
2.8.4
2.9
3
3.1
3.1.1
3.1.2
3.2
3.2.1
3.2.2
3.2.3
3.2.4
3.2.5
3.3
3.3.1
3.3.2
3.4
3.4.1
3.4.2
3.5
3.6
3.7
Contents
Interpolation.............................................171
4.1
4.1.1
4.1.2
4.1.3
4.2
4.3
4.3.1
4.3.2
4.3.3
4.3.4
Drift
4.4
4.5
4.5.1
4.5.2
4.5.3
4.5.4
4.6
4.6.1 Isotropie
4.6.2
4.6.3
4.6.4
4.6.5
4.6.6
4.7
Linear Processes
5.1
5.1.1
5.1.2
Function
5.1.3
5.2
5.2.1
5.2.2
5.2.3
5.2.4
5.3
5.3.1
5.3.2
5.3.3
5.3.4
5.4
XIV
5.4.1
Series
5.4.2
5.4.3
5.4.4
5.4.5
5.5
5.5.1
5.5.2
5.5.3
5.6
5.6.1
5.6.2
5.6.3
representations of an ARMAfp, q] Model
5.6.4
an ARMAjp, q] Model
5.7
6
6.1
6.1.1
Functions
6.1.2
6.1.3
6.2
6.2.1
6.2.2
6.2.3
6.3
6.3.1
6.3.2
6.3.3
6.3.4
6.3.5
6.4
6.5
6.5.1
6.5.2
6.5.3
6.6
6.6.1
6.6.2
6.6.3
6.6.4
Contents
6.7
6.7.1
6.7.2
6.8
6.8.1
6.8.2
6.8.3
6.9
6.9.1
6.9.2
6.9.3
6.9.4
6.9.5
6.9.6
6.9.7
6.9.8
6.10
Fourier Representation of a Stationary Stochastic Process
7.1
7.1.1
7.1.2
7.1.3
7.2
7.2.1
7.2.2
7.2.3
7.3
7.3.1
7.3.2
Process
7.3.3
7.3.4
7.3.5
7.4
7.4.1
7.4.2
7.5
7.5.1
7.5.2
Process
7.5.3
7.5.4
7.5.5
7.6
XVI
8
8.1
8.2
8.2.1
8.2.2
8.3
8.4
8.5
8.5.1
8.5.2
8.6
9
9.1
9.2
9.2.1
9.2.2
9.2.3
9.2.4
9.2.5
9.2.6
9.3
9.3.1
9.3.2
9.3.3
9.3.4
9.3.5
9.3.6
9.4
9.4.1 Microseisms .....................................599
9.4.2
9.5
9.5.1
Tapered Observations
9.5.2
9.5.3
9.5.4
9.5.5
9.5.6
9.6
Contents
10
10.1
10.1.1
10.1.2
10.1.3
10.2
10.2.1
10.2.2
10.2.3
10.3
10.3.1
10.3.2
10.4
A Answers to Problems
References
Index
HANS GILGEN
of Technology (ETH) in Zurich. He received both his diploma
Climatology and Hydrology) and his doctorate
from the ETH. Dr. Gilgen s research interest is the energy balance at
the surface of the earth, in particular secular and decadal changes in
solar radiation.
Gilgen
The author introduces the statistical analysis of geophysical time
series. The book includes also a chapter with an introduction to
geostatistics, many examples and exercises which help the reader to
work with typical problems. More complex derivations are provided
in appendix-like supplements to each chapter. Readers are assumed
to have a basic grounding in statistics and analysis. The reader is
invited to learn actively from genuine geophysical data. He has to
consider the applicability of statistical methods, to propose, esti¬
mate» evaluate and compare statistical models, and to draw conclu¬
sions.
The author focuses on the conceptual understanding. The exam¬
ple time series and the exercises lead the reader to explore the mean¬
ing of concepts such as the estimation of the linear time series
(ARMA)
This book is also a guide to using R for the statistical analysis
of time series. R is a powerful environment for the statistical and
graphical analysis of data. R is available under GNU conditions.
|
| adam_txt |
Contents
Introduction
1.1 Data in Geosciences:
Records
1.2 R. 8
1.3
1.3.1
1.3.2
Theorem
1.3.3
1.3.4
1.4
1.4.1
1.4.2
Measurements
1.5
1.5.1
Variables
1.5.2
1.5.3
Variables
1.5.4
1.5.5
1.6
Stationary Stochastic Processes
2.1
2.2
2.2.1
2.2.2 1st
2.2.3
2.3
2.3.1
2.3.2
2.3.3
2.3.4
XII
2.3.5 Linear
2.4
2.4.1
2.4.2
2.4.3
2.4.4
2.5
2.5.1
2.5.2
2.6
Stochastic Process
2.6.1
Stationary Time Series
2.6.2
2.7
2.8
2.8.1
Processes
2.8.2
2.8.3
2.8.4
2.9
3
3.1
3.1.1
3.1.2
3.2
3.2.1
3.2.2
3.2.3
3.2.4
3.2.5
3.3
3.3.1
3.3.2
3.4
3.4.1
3.4.2
3.5
3.6
3.7
Contents
Interpolation.171
4.1
4.1.1
4.1.2
4.1.3
4.2
4.3
4.3.1
4.3.2
4.3.3
4.3.4
Drift
4.4
4.5
4.5.1
4.5.2
4.5.3
4.5.4
4.6
4.6.1 Isotropie
4.6.2
4.6.3
4.6.4
4.6.5
4.6.6
4.7
Linear Processes
5.1
5.1.1
5.1.2
Function
5.1.3
5.2
5.2.1
5.2.2
5.2.3
5.2.4
5.3
5.3.1
5.3.2
5.3.3
5.3.4
5.4
XIV
5.4.1
Series
5.4.2
5.4.3
5.4.4
5.4.5
5.5
5.5.1
5.5.2
5.5.3
5.6
5.6.1
5.6.2
5.6.3
representations of an ARMAfp, q] Model
5.6.4
an ARMAjp, q] Model
5.7
6
6.1
6.1.1
Functions
6.1.2
6.1.3
6.2
6.2.1
6.2.2
6.2.3
6.3
6.3.1
6.3.2
6.3.3
6.3.4
6.3.5
6.4
6.5
6.5.1
6.5.2
6.5.3
6.6
6.6.1
6.6.2
6.6.3
6.6.4
Contents
6.7
6.7.1
6.7.2
6.8
6.8.1
6.8.2
6.8.3
6.9
6.9.1
6.9.2
6.9.3
6.9.4
6.9.5
6.9.6
6.9.7
6.9.8
6.10
Fourier Representation of a Stationary Stochastic Process
7.1
7.1.1
7.1.2
7.1.3
7.2
7.2.1
7.2.2
7.2.3
7.3
7.3.1
7.3.2
Process
7.3.3
7.3.4
7.3.5
7.4
7.4.1
7.4.2
7.5
7.5.1
7.5.2
Process
7.5.3
7.5.4
7.5.5
7.6
XVI
8
8.1
8.2
8.2.1
8.2.2
8.3
8.4
8.5
8.5.1
8.5.2
8.6
9
9.1
9.2
9.2.1
9.2.2
9.2.3
9.2.4
9.2.5
9.2.6
9.3
9.3.1
9.3.2
9.3.3
9.3.4
9.3.5
9.3.6
9.4
9.4.1 Microseisms .599
9.4.2
9.5
9.5.1
Tapered Observations
9.5.2
9.5.3
9.5.4
9.5.5
9.5.6
9.6
Contents
10
10.1
10.1.1
10.1.2
10.1.3
10.2
10.2.1
10.2.2
10.2.3
10.3
10.3.1
10.3.2
10.4
A Answers to Problems
References
Index
HANS GILGEN
of Technology (ETH) in Zurich. He received both his diploma
Climatology and Hydrology) and his doctorate
from the ETH. Dr. Gilgen's research interest is the energy balance at
the surface of the earth, in particular secular and decadal changes in
solar radiation.
Gilgen
The author introduces the statistical analysis of geophysical time
series. The book includes also a chapter with an introduction to
geostatistics, many examples and exercises which help the reader to
work with typical problems. More complex derivations are provided
in appendix-like supplements to each chapter. Readers are assumed
to have a basic grounding in statistics and analysis. The reader is
invited to learn actively from genuine geophysical data. He has to
consider the applicability of statistical methods, to propose, esti¬
mate» evaluate and compare statistical models, and to draw conclu¬
sions.
The author focuses on the conceptual understanding. The exam¬
ple time series and the exercises lead the reader to explore the mean¬
ing of concepts such as the estimation of the linear time series
(ARMA)
This book is also a guide to using R for the statistical analysis
of time series. R is a powerful environment for the statistical and
graphical analysis of data. R is available under GNU conditions. |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Gilgen, Hans |
| author_facet | Gilgen, Hans |
| author_role | aut |
| author_sort | Gilgen, Hans |
| author_variant | h g hg |
| building | Verbundindex |
| bvnumber | BV020865851 |
| classification_rvk | RB 10103 |
| ctrlnum | (OCoLC)181439117 (DE-599)BVBBV020865851 |
| dewey-full | 550 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 550 - Earth sciences |
| dewey-raw | 550 |
| dewey-search | 550 |
| dewey-sort | 3550 |
| dewey-tens | 550 - Earth sciences |
| discipline | Geologie / Paläontologie Geographie |
| discipline_str_mv | Geologie / Paläontologie Geographie |
| format | Book |
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| id | DE-604.BV020865851 |
| illustrated | Illustrated |
| index_date | 2024-07-02T13:24:24Z |
| indexdate | 2024-07-09T20:27:00Z |
| institution | BVB |
| isbn | 3540238107 9783540238102 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014187688 |
| oclc_num | 181439117 |
| open_access_boolean | |
| owner | DE-824 DE-355 DE-BY-UBR DE-29 DE-20 DE-703 |
| owner_facet | DE-824 DE-355 DE-BY-UBR DE-29 DE-20 DE-703 |
| physical | XVII, 718 S. zahlr. graph. Darst., Kt. |
| publishDate | 2006 |
| publishDateSearch | 2006 |
| publishDateSort | 2006 |
| publisher | Springer |
| record_format | marc |
| spelling | Gilgen, Hans Verfasser aut Univariate time series in geosciences theory and examples Hans Gilgen Berlin [u.a.] Springer 2006 XVII, 718 S. zahlr. graph. Darst., Kt. txt rdacontent n rdamedia nc rdacarrier The author introduces the statistical analysis of geophysical time series. The book includes also a chapter with an introduction to geostatistics, many examples and exercises which help the reader to work with typical problems. More complex derivations are provided in appendix-like supplements to each chapter. Readers are assumed to have a basic grounding in statistics and analysis. The reader is invited to learn actively from genuine geophysical data. He has to consider the applicability of statistical methods, to propose, estimate, evaluate and compare statistical models, and to draw conclusions. The author focuses on the conceptual understanding. The example time series and the exercises lead the reader to explore the meaning of concepts such as the estimation of the linear time series (AMRA) models or spectra. This book is also a guide to using "R" for the statistical analysis of time series. "R" is a powerful environment for the statistical and graphical analysis of data."R" is available under GNU conditions Geologie Geology Statistical methods Time-series analysis Zeitreihenanalyse (DE-588)4067486-1 gnd rswk-swf Geowissenschaften (DE-588)4020288-4 gnd rswk-swf Geowissenschaften (DE-588)4020288-4 s Zeitreihenanalyse (DE-588)4067486-1 s DE-604 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014187688&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Klappentext Digitalisierung UBRegensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014187688&sequence=000002&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Gilgen, Hans Univariate time series in geosciences theory and examples Geologie Geology Statistical methods Time-series analysis Zeitreihenanalyse (DE-588)4067486-1 gnd Geowissenschaften (DE-588)4020288-4 gnd |
| subject_GND | (DE-588)4067486-1 (DE-588)4020288-4 |
| title | Univariate time series in geosciences theory and examples |
| title_auth | Univariate time series in geosciences theory and examples |
| title_exact_search | Univariate time series in geosciences theory and examples |
| title_exact_search_txtP | Univariate time series in geosciences theory and examples |
| title_full | Univariate time series in geosciences theory and examples Hans Gilgen |
| title_fullStr | Univariate time series in geosciences theory and examples Hans Gilgen |
| title_full_unstemmed | Univariate time series in geosciences theory and examples Hans Gilgen |
| title_short | Univariate time series in geosciences |
| title_sort | univariate time series in geosciences theory and examples |
| title_sub | theory and examples |
| topic | Geologie Geology Statistical methods Time-series analysis Zeitreihenanalyse (DE-588)4067486-1 gnd Geowissenschaften (DE-588)4020288-4 gnd |
| topic_facet | Geologie Geology Statistical methods Time-series analysis Zeitreihenanalyse Geowissenschaften |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014187688&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014187688&sequence=000002&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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