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Quantitative decision theory - Essay Example

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The federal officials include the legislative executive and the military. The federal officials play different roles in emergency…
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Quantitative decision theory
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Quantitative Decision Theory Quantitative Decision Theory The emergency requires concerted effort by different federal officials to deliver immediate services that will assist the victims that are affected. The federal officials include the legislative executive and the military. The federal officials play different roles in emergency response .In this case the role of the president and the vice president for administration will be considered important in emergency response. The two are considered vital because of the vital role play in emergency response.

The president is the overall authority to authorize emergency plan, he directs the emergency response program and has the final decision and responsibility for the major decision relating to all aspects of emergency response. In case the president is absent, the provost has the authority to direct the emergency response until the president is available.The other key person in emergency response is the vice president of administration. He is responsible for damage assessment claim relationships with trinity’s insurance company and immediate oversight of facilities for any emergencies involving building and grounds.

The building collapse and cause accident, the assessment will be carried out effectively. The most important role during emergency response is directing the emergency program by the president (Britten-Jones, 1999). He is the overall authority to give order to be followed by all the emergency personnel. Emergency response needs central command that can be best performed by the president. The other issues concern is assessment of damage. It determines the magnitude of the disaster and the kind of response it will need.

If the disaster is severe it will need comprehensive and adequate. ReferencesBritten-Jones, M. (1999) The sampling error in estimates of mean-variance efficient portfolio weights.’ The Journal of Finance, 54, 655–671.

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