Fundamentals of Probability and Statistics for Engineers

(John Hannent) #1

and P(B) is simply


Substituting Equations (6.19) and (6.20) into Equation (6.18) results in


We note that, as expected, it reduces to the geometric distribution when r 1.
The distribution defined by Equation (6. 21 ) is known as the negative binomial,
or Pascal, distribution with parameters r and p. It is often denoted by NB(r,p).
Ausefulvariantofthisdistributionisobtainedifwelet Theran-
dom variable Y is the number of Bernoulli trials beyond r needed for the realiza-
tion of the rth success, or it can be interpreted as the number of failures before
therthsuccess.
Theprobabilitymassfunctionof isobtainedfromEquation( 6. 21 )
upon replacing k by m r. Thus,


We see that random variable Y has the convenient property that the range of
m begins at zero rather than r for values associated with X.
Recallingamoregeneraldefinitionofthebinomialcoefficient


for any real a and any positive integer j, direct evaluation shows that the
binomialcoefficientinEquation( 6. 22 )canbewrittenintheform


Hence,


170 FundamentalsofProbabilityandStatisticsforEngineers


P…B†ˆp: … 6 : 20 †

pX…k†ˆ
k 1
r 1



prqkr; kˆr;r‡ 1 ;...: … 6 : 21 †

ˆ

YˆXr.

Y,pY(m),
‡

pY…m†ˆ

m‡r 1
r 1



prqm

ˆ

m‡r 1
m



prqm; mˆ 0 ; 1 ; 2 ;...:

… 6 : 22 †

a
j



ˆ

a…a 1 †...…aj‡ 1 †
j!

; … 6 : 23 †

m‡r 1
m



ˆ… 1 †m

r
m



: … 6 : 24 †

pY…m†ˆ

r
m



pr…q†m; mˆ 0 ; 1 ; 2 ;...; … 6 : 25 †
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