Transcription of 3.2.5 Negative Binomial Distribution - 國立臺灣大學
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Negative Binomial DistributionIn a sequence of independent Bernoulli(p) trials, let the random variableXdenote the trialat which therthsuccess occurs, whereris a fixed integer. ThenP(X=x|r, p) =(x 1r 1)pr(1 p)x r, x=r, r+ 1, .. ,(1)and we say thatXhas a Negative Binomial (r, p) Negative Binomial Distribution is sometimes defined in terms of the random variableY=number of failures beforerth success. This formulation is statistically equivalent to theone given above in terms ofX=trial at which therth success occurs, sinceY=X r. Thealternative form of the Negative Binomial Distribution isP(Y=y) =(r+y 1y)pr(1 p)y, y= 0,1.
3.2.5 Negative Binomial Distribution In a sequence of independent Bernoulli(p) trials, let the random variable X denote the trialat which the rth success occurs, where r is a fixed integer. Then P(X = x|r,p) = µ x−1 r −1 pr(1−p)x−r, x = r,r +1,..., (1) and we say that X has a negative binomial(r,p) distribution. The negative binomial distribution is sometimes defined in terms …
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