Exam FAM · Severity, Frequency, and Aggregate Models · Free Lesson

Parameters of the (a,b,0) and (a,b,1) Classes

Free SOA Exam FAM (Fundamentals of Actuarial Mathematics) lesson in Severity, Frequency, and Aggregate Models. 11 min read, ~1,673 words.

An auto insurer observes 10,000 policies. Some produce zero claims, a few produce five or more. The (a,b,0) class unifies Poisson, binomial, and negative binomial under one recursive framework. Know the two parameters, and you identify the distribution in seconds.

To identify the role of the parameters, compare the recursion ratio at several claim counts. Its sign pattern identifies the family, while the parameter values determine its mean, variance, and support.

HIGH-FREQUENCY: The (a,b,0) recursion and parameter table are tested constantly. Memorize the table cold.

A counting distribution belongs to the (a,b,0) class if:

pkpk−1=a+bk,k=1,2,3,…\frac{p_k}{p_{k-1}} = a + \frac{b}{k}, \quad k = 1, 2, 3, \ldots

Only three families satisfy this. No other distribution fits.

The sign of a a identifies the family immediately:

KEY: The sign of a a is all you need to identify the distribution family. Zero = Poisson, negative = binomial, positive = negative binomial. Memorize this as "0-Negative-Positive."

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Exam shortcut

Read off a a and b b , check the sign of a a , this identifies the family in under 5 seconds. If p0 p_0 is given explicitly, verify it against the formula before proceeding. Mismatch = (a,b,1). "0-Negative-Positive" (Poisson, Binomial, Negative Binomial. "Logarithmic = a plus b equals zero." "BRaG") Beta from a, R from a and b, a identifies family, Geometric when b = 0.

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