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.
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:
Only three families satisfy this. No other distribution fits.
The sign of identifies the family immediately:
- : Poisson
- : Binomial
- : Negative binomial (including geometric)
KEY: The sign of is all you need to identify the distribution family. Zero = Poisson, negative = binomial, positive = negative binomial. Memorize this as "0-Negative-Positive."
Poisson: .
Binomial: , .
Common mistakes
- Confusing the sign of for binomial. Binomial has . Forgetting the negative sign leads to misidentification. Trap: .
- Mixing up recovery formulas. NB: . Binomial: . These differ by sign and direction. Swapping gives a parameter off by 2.
- Forgetting geometric is NB with . When and , the distribution is geometric, not "Poisson with ."
Bottom line
- Recursion: . Only Poisson, binomial, and negative binomial (with geometric as a special case) satisfy it.
- Sign of identifies the family: 0 = Poisson, negative = binomial, positive = negative binomial (or geometric).
- Geometric is NB with , so and the recursion ratio is constant (memoryless).
- Recovery: Poisson ; binomial , ; NB , .
Exam shortcut
Read off and , check the sign of , this identifies the family in under 5 seconds. If 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.
The full lesson (about 1,615 words, 11 min read) adds 2 worked examples, all 5 common mistakes, a self-check, free in the app.
Learning objectives
- 2e
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