Stratified Random Sampling
Selection of restricted random samples in order to obtain a more accurate estimate of the expected loss (mean) than could be obtained by the selection of completely RANDOM SAMPLES. For example, assume it is the desire to obtain an accurate estimate of the average number of automobile accidents experienced by juniors in the Louisiana State University System. By selecting the proper size of random samples among the various colleges within the system, a more accurate estimate of the number of automobile accidents experienced by juniors system-wide can be obtained than by selecting the same total random sample from the system as a whole.
Popular Insurance Terms
Health insurance that is not subject to alteration, termination, or increase in premium upon renewal. ...
Viewpoint that an insurer whose liability policy is in force at the time of an accident or injury should pay a claim. See also long-tail liability; manifestation/injury theory. ...
Trust in which the trustee distributes capital and income to the beneficiaries of the trust according to their economic needs. ...
Reinstatement of an insurance policy or bond to its original face amount (face of policy) after the payment by the insurer of a loss. The purpose of this type of coverage is to indemnify ...
Provision in a property, liability, or health insurance policy stipulating the extent of coverage in the event that other insurance covers the same property. ...
Phrase in most liability insurance policies that eliminates from coverage damage or destruction to property under the care, custody, and control of an insured. Such coverage is excluded ...
Automatic reinsurance that requires an insurer to transfer (cede) and the reinsurer to accept the part of every risk that exceeds the insurer's predetermined retention limit. The reinsurer ...
Coverage that will indemnify the insured for the expenses, up to the limits of the policy, if a building is damaged by a peril such as fire, and zoning requirements and/or building codes ...
Cost per unit of insurance. ...
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