Quote:
Originally Posted by acc100jt Suppose that there are  distinct tyoes of coupons and each time one obtains a coupon it is, independent of prior selections, equally likely to be any one of the  types. One random variable of interest is  , the number of coupons that needs to be collected until one obtains a complete set of at least one of each type. Rather than derive  directly, let us start by considering the probability that  is greater than  . To do so, fix  and define the events  as follows:  is the event that no type  coupon is contained among the first  ,  .
Hence,
I coulnd't understand the last equality, and why can't we derive  directly?
Appreciate those who help!! |
The equality is just a translation from words to maths of a simple statement, namely "The event

means that among the first n coupons there is a missing type

of coupons". This should be clear (otherwise, give it a second thought ; remember

is the first time we have all types of coupons).
Then

is the event "There exists

such that

happens", and here we are since

is defined as: "the type

is missing among the

first coupons".
About

, if you can derive it directly, that's just fine! It is probably easier however (here and in a large variety of situations) to find

and then deduce the first one by

.