Case studies in environmental statistics
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| Format: | Buch |
| Sprache: | English |
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New York [u.a.]
Springer
1998
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| Schriftenreihe: | Lecture notes in statistics
132 |
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| 245 | 1 | 0 | |a Case studies in environmental statistics |c Douglas Nychka ... (eds.) |
| 264 | 1 | |a New York [u.a.] |b Springer |c 1998 | |
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Datensatz im Suchindex
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| adam_text | DOUGLAS NYCHKA WALTER W. PIEGORSCH LAWRENCE H. COX (EDITORS) CASE
STUDIES IN ENVIRONMENTAL STATISTICS SPRINGER CONTENTS PREFACE V 1
INTRODUCTION: PROBLEMS IN ENVIRONMENTAL MONITORING AND ASSESSMENT 1
LAWRENCE H. COX, DOUGLAS NYCHKA, WALTER W. PIEGORSCH 1 STATISTICAL
METHODS FOR ENVIRONMENTAL MONITORING AND ASSESS- MENT 1 2 OUTLINE OF
CASE STUDIES 2 3 SOURCES OF DATA AND SOFTWARE 3 ACKNOWLEDGMENTS 4 2
MODELING OZONE IN THE CHICAGO URBAN AREA 5 JERRY M. DAVIS, BRIAN K.
EDER, PETER BLOOMFIELD 1 INTRODUCTION 5 1.1 HEALTH AND ENVIRONMENTAL
EFFECTS 6 1.2 BACKGROUND 6 1.3 OVERVIEW OF THE CASE STUDIES 7 2 DATA
SOURCES 8 2.1 OZONE DATA 8 2.2 METEOROLOGICAL DATA 8 3 TREND ANALYSIS
AND ADJUSTMENT 10 3.1 PARAMETRIC MODELING 10 3.2 URBAN OZONE IN CHICAGO
11 3.3 COMPARISON WITH PLURAL LOCATIONS 15 4 TRENDS FROM SEMIPARAMETRIC
MODELS 16 4.1 SEMIPARAMETRIC MODELING 16 4.2 APPLICATION TO CHICAGO
URBAN OZONE 17 5 TRENDS IN EXCEEDANCES 19 5.1 EXCEEDANCE MODELING 19 5.2
MODELING EXCEEDANCE PROBABILITIES FOR THE CHICAGO URBAN AREA 20 5.3
MODELING EXCESS OZONE OVER A THRESHOLD 21 5.4 PREDICTION OF EXTREME
OZONE LEVELS 23 6 SUMMARY 23 ACKNOWLEDGMENTS 24 REFERENCES 24 VIII
CONTENTS 3 REGIONAL AND TEMPORAL MODELS FOR OZONE ALONG THE GULF COAST
27 JERRY M. DAVIS, BRIAN K. EDER, PETER BLOOMFIELD 1 INTRODUCTION 27 1.1
SCIENTIFIC ISSUES 27 1.2 DATA AND DIMENSION REDUCTION 28 2 DIURNAL
VARIATION IN OZONE 29 2.1 SINGULAR VALUE DECOMPOSITION 30 2.2 URBAN
OZONE IN HOUSTON 31 2.3 CONCLUSIONS 35 3 METEOROLOGICAL CLUSTERS AND
OZONE 35 3.1 CLUSTER ANALYSIS 37 3.2 NONPARAMETRIC REGRESSION 38 3.3
URBAN OZONE IN HOUSTON 40 4 REGIONAL VARIATION IN OZONE 44 4.1 ROTATED
PRINCIPAL COMPONENTS 45 4.2 GULF COAST STATES 46 5 SUMMARY 48 6 FUTURE
DIRECTIONS 48 REFERENCES 49 4 DESIGN OF AIR-QUALITY MONITORING NETWORKS
51 DOUGLAS NYCHKA, NANCY SALTZMAN 1 INTRODUCTION 51 1.1 ENVIRONMENTAL
ISSUES 51 1.2 WHY FIND SPATIAL PREDICTIONS FOR OZONE? 52 1.3 DESIGNS AND
DATA ANALYSIS 53 1.4 CHAPTER OUTLINE . . . 54 2 DATA 55 2.1 HOURLY OZONE
AND RELATED DAILY SUMMARIES 55 2.2 HANDLING MISSING DATA 56 2.3 MODEL
OUTPUT 56 3 SPATIAL MODELS 57 3.1 RANDOM FIELDS 57 3.2 SPATIAL ESTIMATES
60 3.3 DESIGN EVALUATION 61 4 THINNING A SMALL URBAN NETWORK 62 4.1
PRELIMINARY RESULTS 63 4.2 DESIGNS FROM SUBSET SELECTION 63 4.3 RESULTS
65 5 ADDING RURAL STATIONS TO NORTHERN ILLINOIS 67 5.1 SPACE-FILLING
DESIGNS 68 5.2 RESULTS FOR RURAL ILLINOIS 71 CONTENTS IX 6 MODIFYING
REGIONAL NETWORKS 71 6.1 RESULTS FOR THE LARGER MIDWEST NETWORK 72 7
SCIENTIFIC CONTRIBUTIONS AND DISCUSSION 74 7.1 FUTURE DIRECTIONS 74
REFERENCES 75 5 ESTIMATING TRENDS IN THE ATMOSPHERIC DEPOSITION OF
POLLUTANTS 77 DAVID HOLLAND 1 INTRODUCTION . 77 2 MONITORING DATA 78 2.1
CASE STUDY I . . . 78 2.2 CASE STUDY II ... 78 2.3 ADDITIONAL ONGOING
MONITORING 79 3 CASE STUDIES 80 3.1 GAMMA MODEL FOR TREND ESTIMATION 80
3.2 NETWORK ABILITY TO DETECT AND QUANTIFY TRENDS . . . . 82 4 FUTURE
RESEARCH 87 ACKNOWLEDGMENT 88 REFERENCES 88 6 AIRBORNE PARTICLES AND
MORTALITY 91 RICHARD L. SMITH, JERRY M. DAVIS, PAUL SPECKMAN 1
INTRODUCTION 91 2 STATISTICAL STUDIES OF PARTICLES AND MORTALITY 93 3 AN
EXAMPLE: DATA FROM BIRMINGHAM, ALABAMA 94 3.1 SUMMARY OF AVAILABLE DATA
94 3.2 STATISTICAL MODELING STRATEGY . 95 4 RESULTS FOR BIRMINGHAM 102
4.1 LINEAR LEAST SQUARES AND POISSON REGRESSION 102 4.2 NONLINEAR
EFFECTS 104 4.3 NONPARAMETRIC REGRESSION 108 5 COMPARISONS WITH OTHER
CITIES 111 5.1 SEASONAL PARAMETRIC AND SEMIPARAMETRIC MODELS . . . 112
5.2 RESULTS: CHICAGO 112 5.3 RESULTS: SALT LAKE COUNTY . 113 5.4 DIRECT
COMPARISONS BETWEEN CHICAGO AND BIRMINGHAM 114 6 CONCLUSIONS: ACCIDENTAL
ASSOCIATION OR CAUSAL CONNECTION? . . 118 REFERENCES 119 7 CATEGORICAL
EXPOSURE-RESPONSE REGRESSION ANALYSIS OF TOXICOLOGY EXPERIMENTS 121
MINGE XIE, DOUGLAS SIMPSON 1 INTRODUCTION 121 CONTENTS 1.1 CRITICAL
EXPOSURE-RESPONSE INFORMATION AND MODELING APPROACHES 122 1.2 ISSUES IN
EXPOSTIRE-RESPONSE RISK ASSESSMENT 123 2 THE TETRACHLOROETHYLENE
DATABASE 124 2.1 SEVERITY SCORING 124 2.2 CENSORING 125 3 STATISTICAL
MODELS FOR EXPOSURE-RESPONSE RELATIONSHIPS . . . . 126 3.1 HABER S LAW
126 3.2 HOMOGENEOUS LOGISTIC MODEL 127 3.3 STRATIFIED REGRESSION MODEL
129 3.4 MARGINAL MODELING APPROACH 131 3.5 OTHER ISSUES 132 4 COMPUTING
SOFTWARE: CATREG 134 5 APPLICATION TO TETRACHLOROETHYLENE DATA 134 6
CONCLUSIONS 136 7 FUTURE DIRECTIONS 138 ACKNOWLEDGMENTS 138 REFERENCES
138 WORKSHOP: STATISTICAL METHODS FOR COMBINING ENVIRONMENTAL
INFORMATION 143 LAWRENCE H. COX 1 THE NISS-USEPA WORKSHOP SERIES 143 2
COMBINING ENVIRONMENTAL INFORMATION 144 3 COMBINING ENVIRONMENTAL
EPIDEMIOLOGY INFORMATION 145 3.1 PASSIVE SMOKING 146 3.2 NITROGEN
DIOXIDE EXPOSURE ; . . . 148 4 COMBINING ENVIRONMENTAL ASSESSMENT
INFORMATION 150 4.1 A BENTHIC INDEX FOR THE CHESAPEAKE BAY 150 4.2
HAZARDOUS WASTE SITE CHARACTERIZATION 152 4.3 ESTIMATING SNOW WATER
EQUIVALENT 152 5 COMBINING ENVIRONMENTAL MONITORING DATA 153 5.1
COMBINING P-SAMPLES 153 5.2 COMBINING P- AND NP-SAMPLES 155 5.3
COMBINING NP-SAMPLES 155 5.4 COMBINING NP-SAMPLES EXHIBITING MORE THAN
PURPOSIVE STRUCTURE 155 6 FUTURE DIRECTIONS 156 REFERENCES 157 APPENDIX
A: FUNFITS, DATA ANALYSIS AND STATISTICAL TOOLS FOR ESTIMATING FUNCTIONS
159 DOUGLAS NYCHKA, PERRY D. HAALAND, MICHAEL A. O CONNELL, STEPHEN
ELLNER 1 INTRODUCTION 159 CONTENTS XI 2 WHAT S SO SPECIAL ABOUT FUNFITS?
160 2.1 AN EXAMPLE 161 3 A BASIC MODEL FOR REGRESSION 165 4 THIN-PLATE
SPLINES: TPS 166 4.1 DETERMINING THE SMOOTHING PARAMETER 167 4.2
APPROXIMATE SPLINES FOR LARGE DATA SETS 168 4.3 STANDARD ERRORS 169 5
SPATIAL PROCESS MODELS: KRIG 169 5.1 SPECIFYING THE COVARIANCE FUNCTION
170 5.2 SOME EXAMPLES OF SPATIAL PROCESS ESTIMATES 172 ACKNOWLEDGMENTS
178 REFERENCES 179 B APPENDIX B: DI, A DESIGN INTERFACE FOR CONSTRUCTING
AND ANALYZING SPATIAL DESIGNS 181 NANCY SALTZMAN, DOUGLAS NYCHKA 1
INTRODUCTION 181 2 AN EXAMPLE 182 3 HOW DI WORKS 182 3.1 NETWORK OBJECTS
. 182 3.2 THE DESIGN EDITOR 182 3.3 USER MODIFICATIONS 183 C APPENDIX C:
WORKSHOPS SPONSORED THROUGH THE EPA/NISS COOPERATIVE AGREEMENT 187 D
APPENDIX D: PARTICIPATING SCIENTISTS IN THE COOPERATIVE AGREEMENT 189
INDEX 191
|
| any_adam_object | 1 |
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| dewey-ones | 363 - Other social problems and services |
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| dewey-sort | 3363.7 272 |
| dewey-tens | 360 - Social problems and services; associations |
| discipline | Soziologie Mathematik Geographie |
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| language | English |
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| physical | XI, 196 S. Ill., graph. Darst. |
| publishDate | 1998 |
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| publisher | Springer |
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| series | Lecture notes in statistics |
| series2 | Lecture notes in statistics |
| spellingShingle | Case studies in environmental statistics Lecture notes in statistics Milieukunde gtt Sciences de l'environnement - Méthodes statistiques Sciences de l'environnement - Méthodes statistiques - Cas, Etudes de ram Environmental sciences Statistical methods Case studies Umweltstatistik (DE-588)4316981-8 gnd |
| subject_GND | (DE-588)4316981-8 (DE-588)4143413-4 (DE-588)4522595-3 |
| title | Case studies in environmental statistics |
| title_auth | Case studies in environmental statistics |
| title_exact_search | Case studies in environmental statistics |
| title_full | Case studies in environmental statistics Douglas Nychka ... (eds.) |
| title_fullStr | Case studies in environmental statistics Douglas Nychka ... (eds.) |
| title_full_unstemmed | Case studies in environmental statistics Douglas Nychka ... (eds.) |
| title_short | Case studies in environmental statistics |
| title_sort | case studies in environmental statistics |
| topic | Milieukunde gtt Sciences de l'environnement - Méthodes statistiques Sciences de l'environnement - Méthodes statistiques - Cas, Etudes de ram Environmental sciences Statistical methods Case studies Umweltstatistik (DE-588)4316981-8 gnd |
| topic_facet | Milieukunde Sciences de l'environnement - Méthodes statistiques Sciences de l'environnement - Méthodes statistiques - Cas, Etudes de Environmental sciences Statistical methods Case studies Umweltstatistik Aufsatzsammlung Fallstudiensammlung |
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