METHODOLOGY OF BAYESIAN INFERENCE AND DECISION MAKING APPLIED TO EXTREME HYDROLOGIC EVENTS.

Eric F. Wood; Ignacio Rodriguez-Iturbe; John C. Schaake

METHODOLOGY OF BAYESIAN INFERENCE AND DECISION MAKING APPLIED TO EXTREME HYDROLOGIC EVENTS.

Eric F. Wood
, Ignacio Rodriguez-Iturbe
, John C. Schaake

Research output: Contribution to journal › Article › peer-review

Abstract

Two types of statistical uncertainty were considered in this study. The Bayesian inference model is applied to a Bayesian decision model, where the decision rule is the maximization of expected net monetary benefits. A case study of determining the optimal size of local flood protection for Woonsocket, Rhode Island, was considered, using realistic flood damage and cost functions.

Original language	English (US)
Journal	MIT Dep Civ Eng, Ralph M. Parsons Lab Water Resour Hdyn1r Rep
Issue number	178
State	Published - 1974

All Science Journal Classification (ASJC) codes

General Engineering

Cite this

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title = "METHODOLOGY OF BAYESIAN INFERENCE AND DECISION MAKING APPLIED TO EXTREME HYDROLOGIC EVENTS.",

abstract = "Two types of statistical uncertainty were considered in this study. The Bayesian inference model is applied to a Bayesian decision model, where the decision rule is the maximization of expected net monetary benefits. A case study of determining the optimal size of local flood protection for Woonsocket, Rhode Island, was considered, using realistic flood damage and cost functions.",

author = "Wood, \{Eric F.\} and Ignacio Rodriguez-Iturbe and Schaake, \{John C.\}",

year = "1974",

language = "English (US)",

journal = "MIT Dep Civ Eng, Ralph M. Parsons Lab Water Resour Hdyn1r Rep",

number = "178",

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T1 - METHODOLOGY OF BAYESIAN INFERENCE AND DECISION MAKING APPLIED TO EXTREME HYDROLOGIC EVENTS.

AU - Wood, Eric F.

AU - Rodriguez-Iturbe, Ignacio

AU - Schaake, John C.

PY - 1974

Y1 - 1974

N2 - Two types of statistical uncertainty were considered in this study. The Bayesian inference model is applied to a Bayesian decision model, where the decision rule is the maximization of expected net monetary benefits. A case study of determining the optimal size of local flood protection for Woonsocket, Rhode Island, was considered, using realistic flood damage and cost functions.

AB - Two types of statistical uncertainty were considered in this study. The Bayesian inference model is applied to a Bayesian decision model, where the decision rule is the maximization of expected net monetary benefits. A case study of determining the optimal size of local flood protection for Woonsocket, Rhode Island, was considered, using realistic flood damage and cost functions.

UR - https://www.scopus.com/pages/publications/85041978367

UR - https://www.scopus.com/pages/publications/85041978367#tab=citedBy

M3 - Article

AN - SCOPUS:85041978367

JO - MIT Dep Civ Eng, Ralph M. Parsons Lab Water Resour Hdyn1r Rep

JF - MIT Dep Civ Eng, Ralph M. Parsons Lab Water Resour Hdyn1r Rep

IS - 178

ER -

METHODOLOGY OF BAYESIAN INFERENCE AND DECISION MAKING APPLIED TO EXTREME HYDROLOGIC EVENTS.

Abstract

All Science Journal Classification (ASJC) codes

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