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Illustration of the partial payout of Sum Insured against probability of occurrence. Condition of average (also called underinsurance [1] in the U.S., or principle of average, [2] subject to average, [3] or pro rata condition of average [4] in Commonwealth countries) is the insurance term used when calculating a payout against a claim where the policy undervalues the sum insured.
[1] [2] Many notable mean operators such as the max, arithmetic average, median and min, are members of this class. They have been widely used in computational intelligence because of their ability to model linguistically expressed aggregation instructions.
In order to calculate the average and standard deviation from aggregate data, it is necessary to have available for each group: the total of values (Σx i = SUM(x)), the number of values (N=COUNT(x)) and the total of squares of the values (Σx i 2 =SUM(x 2)) of each groups. [8]
[citation needed] One author uses the terminology of the "Rule of Average Conditional Probabilities", [4] while another refers to it as the "continuous law of alternatives" in the continuous case. [5] This result is given by Grimmett and Welsh [6] as the partition theorem, a name that they also give to the related law of total expectation.
Confusingly, Design Patterns uses "aggregate" to refer to the blank in the code for x in ___: which is unrelated to the term "aggregation". [1] Neither of these terms refer to the statistical aggregation of data such as the act of adding up the Fibonacci sequence or taking the average of a list of numbers.
MAX-SAT is one of the optimization extensions of the boolean satisfiability problem, which is the problem of determining whether the variables of a given Boolean formula can be assigned in such a way as to make the formula evaluate to TRUE. If the clauses are restricted to have at most 2 literals, as in 2-satisfiability, we get the MAX-2SAT ...
The following example in order to discourage this hurried averaging: [2] ¨ + ˙ + =, =, ˙ =, where we put (, ˙,) = ˙ following the previous notation. This systems corresponds to a damped harmonic oscillator where the damping term oscillates between 0 {\displaystyle 0} and 4 ε {\displaystyle 4\varepsilon } .
A Bayesian average is a method of estimating the mean of a population using outside information, especially a pre-existing belief, [1] which is factored into the calculation. This is a central feature of Bayesian interpretation. This is useful when the available data set is small. [2] Calculating the Bayesian average uses the prior mean m and a ...