|
|
|
|
| LEADER |
00000cam a2200000Ki 4500 |
| 001 |
mig00005040936 |
| 003 |
OCoLC |
| 005 |
20180829052946.9 |
| 006 |
m o d |
| 007 |
cr |n||||||||| |
| 008 |
170905s2017 ne o 001 0 eng d |
| 019 |
|
|
|a 1002847962
|a 1003098647
|
| 020 |
|
|
|a 9780128040935
|q (electronic bk.)
|
| 020 |
|
|
|a 0128040939
|q (electronic bk.)
|
| 020 |
|
|
|z 0128040718
|
| 020 |
|
|
|z 9780128040713
|
| 035 |
|
|
|a (OCoLC)1002902836
|z (OCoLC)1002847962
|z (OCoLC)1003098647
|
| 035 |
0 |
0 |
|a ocm00000001wrldshron1002902836
|
| 040 |
|
|
|a YDX
|b eng
|e pn
|c YDX
|d N$T
|d OPELS
|d IDEBK
|d EBLCP
|d N$T
|d OCLCF
|d MERER
|d OCLCQ
|d UPM
|d CSAIL
|d D6H
|d OCLCQ
|d U3W
|
| 049 |
|
|
|a TXMM
|
| 050 |
|
4 |
|a HD61
|
| 066 |
|
|
|c (S
|
| 072 |
|
7 |
|a BUS
|x 070000
|2 bisacsh
|
| 082 |
0 |
4 |
|a 338.5
|2 23
|
| 082 |
0 |
4 |
|a 353.9/5015118
|2 23
|
| 099 |
|
|
|a Electronic book
|
| 245 |
0 |
0 |
|a Risk modeling for hazards and disasters /
|c edited by Gero Michel.
|
| 260 |
|
|
|a Amsterdam :
|b Elsevier,
|c 2017.
|
| 300 |
|
|
|a 1 online resource
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Includes index.
|
| 588 |
0 |
|
|a Print version record.
|
| 505 |
0 |
|
|6 880-01
|a Front Cover; RISK MODELING FOR HAZARDS AND DISASTERS; RISK MODELING FOR HAZARDS AND DISASTERS; Copyright; Contents; List of Contributors; INTRODUCTION; References; I -- CATASTROPHE MODELS, GENERAL CONCEPTS AND METHODS; 1 -- Quantifying Model Uncertainty and Risk; INTRODUCTION; BACKGROUND OF CATASTROPHE MODELING; DIFFERENT COMPONENTS OF CATASTROPHE MODELS; EARTHQUAKE HAZARD; Components of Earthquake Source Models; Fault Sources; Distributed Sources; Smoothing of Seismicity; Smoothing of Historical Seismicity; Maximum Magnitude; Earthquake Probability Model; Ground Motion.
|
| 505 |
8 |
|
|a EPISTEMIC UNCERTAINTY IN SEISMIC HAZARD RESULTSBUILDING VULNERABILITY; Methodology; Loss Distribution; Analytical Approach of Development of Vulnerability Functions; BUILDING COMPONENTS; DAMAGE STATES; REPAIR COSTS; PEER-PBEE-Based Analytical Approach; Damage Measure and Repair Cost; SECONDARY HAZARD AND SUBPERILS; METHODOLOGY FOR LOSS CALCULATIONS; LOSS RESULTS AND THE UNCERTAINTY; OVERVIEW OF A TYPICAL HURRICANE CATASTROPHE MODEL; COMPONENT LEVEL UNCERTAINTIES; Sensitivity to Numbers of Years and Numbers of Samples; Sensitivity to Choices for LTR Models.
|
| 505 |
8 |
|
|a Sensitivity to Choices for MTR ModelsSensitivity to Choices for Track, Intensity, Size, Transitioning, and Filling Rate Models; Sensitivities to Overland Wind-Field Models; Sensitivities to Vulnerabilities; Other Wind Uncertainties; Surge Uncertainties; Flood Uncertainties; SUMMARY; References; Further Reading; 2 -- What Makes a Catastrophe Model Robust; INTRODUCTION; PROMISE OF THE STOCHASTIC CATALOG; SIMULATION OF EVENT INTENSITIES AT LOCATION; MODELING DAMAGE; FINANCIAL MODEL AND VALIDATING LOSSES; CLOSING THOUGHTS; Acknowledgments; References; APPENDIX A; Stochastic Catalog.
|
| 505 |
8 |
|
|a Conditional Exceedance ProbabilityCONCLUDING REMARKS; Acknowledgments; References; 4 -- Empirical Fragility and Vulnerability Assessment: Not Just a Regression; INTRODUCTION; CHALLENGES WITH POSTEVENT LOSS AND DAMAGE DATABASES; Postevent Loss and Damage Data Sources; Incomplete Data; Measurement and Classification Errors; Intensity; Asset Characteristics; Damage Scale; Loss; Multiple Successive Hazard Events; STATISTICAL MODELS -- WHICH MODEL FITS THE DATA BEST?; Introduction; Parametric Statistical Models; Nonlinear Models; Linear Models; Generalized Linear Models.
|
| 650 |
|
0 |
|a Risk assessment
|x Mathematical models.
|
| 650 |
|
0 |
|a Natural disasters
|x Risk assessment.
|
| 650 |
|
0 |
|a Hazard mitigation.
|
| 700 |
1 |
|
|a Michel, Gero.
|
| 730 |
0 |
|
|a Elsevier ScienceDirect EBA
|
| 776 |
0 |
8 |
|i Print version:
|t Risk modeling for hazards and disasters.
|d Amsterdam : Elsevier, 2017
|z 0128040718
|z 9780128040713
|w (OCoLC)974441099
|
| 856 |
4 |
0 |
|u https://ezproxy.mtsu.edu/login?url=https://www.sciencedirect.com/science/book/9780128040713
|z CONNECT
|t 0
|
| 880 |
8 |
|
|6 505-01/(S
|a Local IntensityDamage Functions; Financial Calculations; Overall Model; 3 -- Towards a More Dynamical Paradigm for Natural Catastrophe Risk Modeling; INTRODUCTION; LOSS SIMULATION; Event Loss Table Definition; Loss Distribution Functions: CEP, OEP, and AEP; CLUSTERING; Scientific Background; Overdispersion in Counts; Building Clustering into ELT Calculations; DYNAMICAL MIXTURE MODELS; Concept; Estimation of the Mixing Parameters: β0,i and β1,i; Choice of Row Overdispersion: Scaling Properties; Models and Simulations; Results; Clustering; Aggregate Exceedance Probability.
|
| 907 |
|
|
|a 3743395
|b 07-06-20
|c 08-30-18
|
| 998 |
|
|
|a wi
|b 08-30-18
|c m
|d z
|e -
|f eng
|g ne
|h 0
|i 1
|
| 994 |
|
|
|a 92
|b TXM
|
| 999 |
f |
f |
|i b2b442f7-a07b-4ba4-9cd2-87ca8f349da7
|s 477b6808-84d8-476d-85be-f221c0603b8e
|t 0
|
| 952 |
f |
f |
|a Middle Tennessee State University
|b Main
|c James E. Walker Library
|d Electronic Resources
|t 0
|e HD61
|h Library of Congress classification
|
| 856 |
4 |
0 |
|t 0
|u https://ezproxy.mtsu.edu/login?url=https://www.sciencedirect.com/science/book/9780128040713
|z CONNECT
|
