credibility$17524$ - definitie. Wat is credibility$17524$
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Wat (wie) is credibility$17524$ - definitie

Actuarial credibility; Credibility Theory

Credibility theory         
Credibility theory is a form of statistical inference used to forecast an uncertain future event developed by Thomas Bayes. It is employed to combine multiple estimates into a summary estimate that takes into account information on the accuracy of the initial estimates.
Credibleness         
  • Scientists with [[PhD]] degrees are considered credible sources in their field of expertise, due to their advanced study.
BELIEVABILITY OF A SOURCE OR MESSAGE, COMPRISING OBJECTIVE AND SUBJECTIVE COMPONENTS
Cred; Street Cred; Credible; Street-cred; Street cred; Incredibility; Street credibility; Credibilities; Credibleness; Scientific credibility; Believability; Credibly
·noun The quality or state of being credible; worthiness of belief; credibility.
street credibility         
  • Scientists with [[PhD]] degrees are considered credible sources in their field of expertise, due to their advanced study.
BELIEVABILITY OF A SOURCE OR MESSAGE, COMPRISING OBJECTIVE AND SUBJECTIVE COMPONENTS
Cred; Street Cred; Credible; Street-cred; Street cred; Incredibility; Street credibility; Credibilities; Credibleness; Scientific credibility; Believability; Credibly
Street credibility is the same as street cred
. (mainly BRIT)
N-UNCOUNT

Wikipedia

Credibility theory

Credibility theory is a branch of actuarial mathematics concerned with determining risk premiums. It is employed to combine multiple estimates into a summary estimate that takes into account information on the accuracy of the initial estimates. For example, in group health insurance an insurer is interested in calculating the risk premium, R P {\displaystyle RP} , (i.e. the theoretical expected claims amount) for a particular employer in the coming year. The insurer will likely have an estimate of historical overall claims experience, x {\displaystyle x} , as well as a more specific estimate for the employer in question, y {\displaystyle y} . Assigning a credibility factor, z {\displaystyle z} , to the overall claims experience (and the reciprocal to employer experience) allows the insurer to get a more accurate estimate of the risk premium in the following manner:

The credibility factor is derived by calculating the maximum likelihood estimate which would minimise the error of estimate. Assuming the variance of x {\displaystyle x} and y {\displaystyle y} are known quantities taking on the values u {\displaystyle u} and v {\displaystyle v} respectively, it can be shown that z {\displaystyle z} should be equal to:

Therefore, the more uncertainty the estimate has, the lower is its credibility.