[Prob] (Coupon collector)

Suppose there are n types of toys, which you are collecting one by one, with the goal of getting a complete set. When collecting toys, the toy types are random (as is sometimes the case, for example, with toys included in cereal boxes or included with kids' meals from a fast food restaurant).

Assume that each time you collect a toy, it is equally likely to be any of the n types. What is the expected number of toys needed until you have a complete set?

Solution: Let N be the number of toys needed; we want to find E(N). Our strategy will be to break up N into a sum of simpler r.v.s so that we can apply linearity. So write

N = N1 + N2 + · · · + Nn,

where N1 is the number of toys until the first toy type you haven't seen before (which is always 1, as the first toy is always a new type), N2 is the additional number of toys until the second toy type you haven't seen before, and so forth.

with

相关推荐
皮蛋瘦肉熬不成粥10 小时前
MES(The Measures of Effect Size )工具箱的使用
matlab·概率论
我要学好英语13 小时前
概率密度——分布、期望、方差和协方差
深度学习·概率论·概率密度·方差·协方差·期望·分布
我要学好英语13 小时前
概率法则——贝叶斯定理
深度学习·概率论·贝叶斯定理
Eloudy1 天前
贝叶斯定律的内涵
概率论
Zero2 天前
机器学习概率论与统计学--(6)概率论:连续分布
机器学习·概率论·统计学·概率密度函数·连续分布
Zero3 天前
机器学习概率论与统计学--(7)概率论:多维随机变量
机器学习·概率论·随机变量·统计学·多维随机变量
Zero3 天前
机器学习概率论与统计学--(5)概率论:离散分布
机器学习·概率论·统计学·离散分布
irpywp4 天前
SentrySearch:一款支持用自然语言检索原生 MP4 视频的 Python 命令行工具
python·音视频·概率论
Zero4 天前
机器学习概率论与统计学--(3)概率论:随机变量
机器学习·概率论·随机变量·统计学
Zero4 天前
机器学习概率论与统计学--(4)概率论:概率质量函数与概率密度函数
机器学习·概率论·概率密度函数·概率质量函数