Statistics for the environment: [proceedings of the SPRUCE Conference held in the Calouste Gulbenkian Centre, Lisbon, Portugal, 7 - 10 April 1992]
Gespeichert in:
| Format: | Tagungsbericht Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Chichester u.a.
Wiley
1993
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturverz. S. [401] - 418 |
| Beschreibung: | XIX, 427 S. Ill., graph. Darst., Kt. |
| ISBN: | 0471934674 |
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| 264 | 1 | |a Chichester u.a. |b Wiley |c 1993 | |
| 300 | |a XIX, 427 S. |b Ill., graph. Darst., Kt. | ||
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Datensatz im Suchindex
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| adam_text |
Contents
Foreword
;.
Sant'Ano. Calazans
xv
Preface
V.
Barnett and K. Ferìdun
Turkman
xvii
PART I ENVIRONMENTAL MONITORING AND
SAMPLING
1
1
The Active Mixing Volume: A New Concept in Modelling
Environmental Systems
3
P.
С
Young and M. Lees
1.1
Introduction
3
1.2
A motivational example: The ADZ model for transport and
dispersion of solutes in stream channels
6
1.2.1
Derivation of the aggregated dead zone (ADZ) model
6
1.2.2
Transfer function representation of the ADZ model
11
1.3
Identification and estimation of TF models
14
1.3.1
Recursive parameter estimation
14
1.3.2
TF model order identification
18
1.3.3
Identifiability
20
1.4
The ADZ model revisited: Practical results
21
1.4.1
Wider implications of the ADZ model
23
1.5
Other practical examples of the ADZ-type model
23
1.5.1
Solute transport in soils: I
24
1.5.2
Solute transport in soils: II
26
1.6
A generalisation of the ADZ modelling concept: The active
mixing volume (AMV)
29
1.6.1
An AMV model for heat flow in soils
30
1.7
Conclusions
38
Acknowledgments
39
Appendix
1.1
Transfer function models
39
viii Contents
2
Encounter Sampling and Modelling in Ecological and
Environmental Studies Using Weighted Distribution Methods
45
G. P.
Patii,
С.
Taillie and S.
Talwalker
2.1
Background and introduction
45
2.2
Extra-distance sources of encounter bias in transect sampling
46
2.2.1
Deep-sea red crab
47
2.2.2
Bivariate sighting-functions
48
2.2.3
Random sighting-functions do not cause overdispersion
51
2.3
Informativeness of weighted distributions
52
2.3.1
Species abundance
53
2.4
Overdispersion and heterogeneity of teratological binary data
58
2.4.1
Comparison of beta-binomial and double binomial as
models for overdispersed binary data
61
2.4.2
Accuracy of Efron's approximation formulae
61
2.5
Modelling bivariate overdispersion
62
2.5.1
A bivariate form of the Diaconis-Efron
DEF
64
2.5.2
Double bivariate normal distribution
66
2.5.3
A weighted bivariate normal correlation model
67
2.5.4
Relative informativeness of the weighted observations
69
3
Comparing Sampling Designs for Monitoring Ecological
Status and Trends: Impact of Temporal Patterns
71
N.
S. Urquhart, W. S.
Överton
and
D.S.
Birkes
3.1
Introduction
71
3.2
Modelling approach
74
3.3
Results
79
3.4
Discussion
84
Acknowledgments
85
PART II MEASURING LEVELS AND CONSEQUENCES OF
POLLUTION AND CONTAMINATION
87
4
Point Process Modelling in Environmental Epidemiology
89
P.
]■
Diggle
4.1
Introduction
89
4.2
Point processes and their statistical analysis
91
4.2.1
First-and second-moment properties
91
4.2.2
Estimation of the first- and second-moment properties
of a bivariate stationary,
isotropie
point process
95
4.2.3
Models
96
4.2.4
Data-perturbation
97
4.2.5
The practical relevance of stationarity
99
4.3
Spatial clustering
100
4.4
Space-time interaction
102
4.5
Raised incidence near one or more point sources
104
4.6
Splaneš:
Software for environmental epidemiology
107
4.7
Discussion
109
5.1
Introduction
5.2
Normal
and extreme
NCyemission
5.2.1
Background
5.2.2
The measuring system
5.2.3
Correction
for drift
5.2.4
Data
5.2.5
Influence
of wind
direction
5.3
A
statistical model
5.3.1
The model
5.3.2
Analysis
5.4
Quantil(
;
relations
in disturbed distributions
5.4.1
Log-normal case
5.4.2
Application to NO, data
5.5
Conclusions
Contents
ix
5
Estimation of
Quantités
in Airborne Pollution; Measuring
Pollution around Gas Furnaces 111
G. Lindgren,
L.
Zetterqvist and G. Holmstedt
111
112
112
112
113
114
115
115
115
116
118
119
120
121
A Stochastic Model for Times of Exposures to Air Pollution
from a Point Source
123
A. C. Davison and
N.
I. Ramesh
6.1
Introduction
123
6.2
The MESOS model and data
124
6.3
Markov-modulated
Poisson
processes
127
6.3.1
Model
127
6.3.2
Second-order properties
129
6.4
Data analysis
131
6.4.1
Separate analyses
131
6.4.2
Joint analysis
131
6.5
Discussion
138
Acknowledgments
138
PART III CLIMATOLOGICAL AND METEOROLOGICAL
ISSUES
139
7
Long-range Dependence and Global Warming
141
R. L.
Smith
7.1
Introduction
141
7.2
Global warming and the detection of trends in temperature
series
142
7.3
Long-range dependence and the estimation of a linear trend
143
7.4
Central England temperature data
147
7.5
Long-range dependence in English data
149
7.6
US data
155
7.7
Global data
157
7.8
Discussion
160
Acknowledgments
161
Contents
Environmental Factors Affecting Reservoir Safety
163
С
W. Anderson and
S. Nadarajah
8.1
Introduction
163
8.2
Reservoir safety and the current method of assessment
164
8.3
Strategy of the joint probability studies
166
8.4
Statistical methodology
167
8.4.1
Primary and secondary variables
167
8.4.2
Dependence between extremes of primary variables
168
8.4.3
Inclusion of secondary variables
171
8.4.4
Further aspects of modelling
171
8.4.5
Declustering
172
8.5
Some preliminary results
173
8.5.1
Dependence between rain and wind
173
8.5.2
Wind speed and direction
180
8.6
Conclusions
180
Acknowledgments
180
Appendix
8.1
A distributional overview
181
Appendix
8.2
Dependence models
181
Rainfall Depth-Duration-Frequency Curves; A Problem of
Dependent Extremes
183
T. A. Buishand
9.1
Introduction
183
9.2
Annual maxima at
De Bilt
184
9.3
Estimation of the correlation between parameter estimates
186
9.3.1
Smith's method
187
9.3.2
The jack-knife
188
9.3.3
The linear jack-knife
189
9.3.4
The bootstrap
190
9.3.5
The estimated correlation between
τ
and
č
191
9.4
Mathematical description of the change of the Gumbel
parameters with duration
192
9.5
Quantile estimation
195
9.6
Conclusions
196
Acknowledgment
197
PART IV WATER RESOURCES
199
10
Water Resources and Statistics: Past, Present and Future
201
V. Yevjevich
10.1
Introduction
201
10.2
Characteristics of past applications of statistics in solutions of
water resources problems
204
10.3
The present state of application of advanced statistics in
hydrology and water resources
210
10.4
Expected future applications of statistics in water resources
219
Contents xi
11
On the Estimation of Parameters of Rare Events in
Environmental Time Series
225
M. I. Gomes
11.1
Introduction and preliminaries
225
11.2
The asymptotic behaviour of exceedances of high levels and of
upper order statistics
226
11.3
The influence of the extremal index on the estimation of
upper quantiles
229
11.4
Comparison of estimators of upper quantiles o
231
11.5
The estimation of the extremal index
236
11.6
An example of application
—
levels of the River
Douro
at
Fraga
hydrometrie
station
239
Acknowledgments
241
12
Extreme Sea Levels
243
J. A. Tawn
12.1
Introduction
243
12.2
Background to extreme-value modelling
245
12.3
Separate site methods
247
12.3.1
Direct methods
247
12.3.2
Indirect methods
250
12.4
Spatial modelling
252
12.5
Application of the spatial model
254
12.5.1
UK data analysis
254
12.5.2
Australian data analysis
258
12.6
Incorporating waves in the analysis
260
12.7
Further work
263
Acknowledgments
263
PART V DYNAMICS OF FISH POPULATIONS
265
13
Modelling and Managing a Salmon Population
267
T. Speed
13.1
Introduction
267
13.2
Background
268
13.3
Models and methods
271
13.4
Discussion
289
Acknowledgments
292
14
Ambiguous Inferences from Fisheries Data
293
J. T.
Schnute
14.1
Introduction
293
14.2
A simple example
294
14.3
Chinook hatchery data
297
14.4
Serial correlation
301
xii Contents
14.5 Stock
and recruitment 3O7
14.6
Conclusions
. 309
15
Recapture Data on Tagged Fish: Some Questions of Analysis
and Interpretation
311
R. M. Cormack
15.1
Introduction 311
15.2
Approaches to recapture data
312
15.3
Multinomial models 313
15.4
Generalized linear models 3^5
15.5
Example
1:
Effect of experimental dam manipulation on
local survival 3*9
15.6
Example
2:
Commercial recaptures of
chinook
in south-eastern
Alaska waters 3^3
15.7
Extensions 329
Appendix
15.1
Complete GLIM input for data and analysis
of Example
1
33°
PART VI FORESTRY: SUPPLY AND CONSERVATION
333
16
Statistical Analysis of Climatological and Ecological Factors
in Forestry: Spatial and Temporal Aspects
335
W. Urfer
16.1
Introduction 335
16.2
Data analysis in the process of scientific investigation:
longitudinal studies 33^
16.3
Analysis of categorical data in longitudinal studies by a
marginal model 337
16.4
Analysis of categorical data in longitudinal studies by a
logistic regression model 339
16.5
Application of weighted least squares and logistic regression
analysis on data from permanent observation plots 3^1
16.6
Further aspects of forest ecosystem measurements 3^4
17
Uncertainty and the Conservation or Destruction of Natural
Forests and Wilderness
347
W.
ƒ.
Reed
17.1
Introduction 347
17.2
A single-stand model for the harvest-conservation decision
problem
354
17.2.1
The cost-benefit prescription 356
17.2.2
The optimal harvest rale 357
17.2.3
Suboptimality of the cost-benefit procedure 3!>9
17.2.4
The certainty-equivalence procedure 3*>4
17.3
A model for conservation-development decisions for a large
area of wilderness land, allowing for partial development 3(>7
Contents xiii
17.3.1
The model
367
17.3.2
The cost-benefit
prescription
369
17.3.3
The optimal development rule
371
17.3.4
The suboptimality of the cost-benefit procedure
373
17.3.5
The certainty-equivalence procedure
373
17.3.6
Size-independent land-service flows
375
17.4
Final remarks
376
18
Quantitative Assessment of Growth in the Tropical Rainforests
379
S. Nokoe
18.1
Introduction
379
18.1.1
The tropical forest
379
18.1.2
The need for growth studies
381
18.2
Quantitative assessments
382
18.2.1
Spatial distribution
382
18.2.2
Species diversity
383
18.2.3
Frequency distribution
383
18.2.4
Growth and yield
385
18.2.5
Stand dynamics
386
18.3
Illustration
388
18.3.1
The problem
388
18.3.2
The data and initial computations
388
18.3.3
Final species structure
388
18.3.4
Determining time-period equivalent in years
391
18.3.5
Assessmentof unregulated interference and
interventions
391
18.4
Conclusions
394
Acknowledgments
395
Appendix
18.1
Basic program for stable structure simulation
395
References
401
Index
419 |
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| publisher | Wiley |
| record_format | marc |
| spelling | Statistics for the environment [proceedings of the SPRUCE Conference held in the Calouste Gulbenkian Centre, Lisbon, Portugal, 7 - 10 April 1992] ed. by Vic Barnett ... Chichester u.a. Wiley 1993 XIX, 427 S. Ill., graph. Darst., Kt. txt rdacontent n rdamedia nc rdacarrier Literaturverz. S. [401] - 418 Environmental sciences Statistical methods Congresses Umweltschutz (DE-588)4061644-7 gnd rswk-swf Umweltstatistik (DE-588)4316981-8 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 1992 Lissabon gnd-content Umweltschutz (DE-588)4061644-7 s Statistik (DE-588)4056995-0 s DE-604 Umweltstatistik (DE-588)4316981-8 s Barnett, Vic Sonstige oth SPRUCE Conference 1 1992 Lissabon Sonstige (DE-588)5138045-6 oth Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=005397757&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Statistics for the environment [proceedings of the SPRUCE Conference held in the Calouste Gulbenkian Centre, Lisbon, Portugal, 7 - 10 April 1992] Environmental sciences Statistical methods Congresses Umweltschutz (DE-588)4061644-7 gnd Umweltstatistik (DE-588)4316981-8 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4061644-7 (DE-588)4316981-8 (DE-588)4056995-0 (DE-588)1071861417 |
| title | Statistics for the environment [proceedings of the SPRUCE Conference held in the Calouste Gulbenkian Centre, Lisbon, Portugal, 7 - 10 April 1992] |
| title_auth | Statistics for the environment [proceedings of the SPRUCE Conference held in the Calouste Gulbenkian Centre, Lisbon, Portugal, 7 - 10 April 1992] |
| title_exact_search | Statistics for the environment [proceedings of the SPRUCE Conference held in the Calouste Gulbenkian Centre, Lisbon, Portugal, 7 - 10 April 1992] |
| title_full | Statistics for the environment [proceedings of the SPRUCE Conference held in the Calouste Gulbenkian Centre, Lisbon, Portugal, 7 - 10 April 1992] ed. by Vic Barnett ... |
| title_fullStr | Statistics for the environment [proceedings of the SPRUCE Conference held in the Calouste Gulbenkian Centre, Lisbon, Portugal, 7 - 10 April 1992] ed. by Vic Barnett ... |
| title_full_unstemmed | Statistics for the environment [proceedings of the SPRUCE Conference held in the Calouste Gulbenkian Centre, Lisbon, Portugal, 7 - 10 April 1992] ed. by Vic Barnett ... |
| title_short | Statistics for the environment |
| title_sort | statistics for the environment proceedings of the spruce conference held in the calouste gulbenkian centre lisbon portugal 7 10 april 1992 |
| title_sub | [proceedings of the SPRUCE Conference held in the Calouste Gulbenkian Centre, Lisbon, Portugal, 7 - 10 April 1992] |
| topic | Environmental sciences Statistical methods Congresses Umweltschutz (DE-588)4061644-7 gnd Umweltstatistik (DE-588)4316981-8 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Environmental sciences Statistical methods Congresses Umweltschutz Umweltstatistik Statistik Konferenzschrift 1992 Lissabon |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=005397757&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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