Assume the lifetime (in months) of batteries is modeled as an exponential random variable with parameter 𝜆 . The probability density function of the random variable is 𝑝 𝜆 ( 𝑥 ) = 𝜆 𝑒 − 𝜆 𝑥 , with 𝑥 ∈ [ 0 , ∞ ) . We have collected an i.i.d. sample of 3 batteries whose lifetimes in months are 8, 10, 9, respectively. The standardized log-likelihood of a sample with 𝑛 i.i.d. observations is 1 𝑛 log 𝐿 ( 𝑥 , 𝜆 ) = 1 𝑛 ∑ 𝑖 = 1 𝑛 ( log ( 𝜆 ) − 𝜆 𝑥 𝑖 ) . Given this information what is the Maximum Likelihood estimate of 𝜆 ? 单项选择题
A
𝜆 ̂ = 1 9 .
B
𝜆 ̂ = 9 .
C
𝜆 ̂ = log ( 9 ) .
D
There is not enough information to compute the estimate of 𝜆 .
E
𝜆 ̂ = 1 log ( 9 ) .
登录即可查看完整答案
我们收录了全球超50000道真实原题与详细解析,现在登录,立即获得答案。
类似问题
Question15 A random variable follows an exponential distribution with parameter [math] if it has the following density: [math] This distribution is often used to model waiting times between events. Imagine you are given i.i.d. data [math] where each [math] is modelled as being drawn from an exponential distribution with parameter [math]. Question: Find the MLE estimate of [math] (select one) (hint: use log-probability) Select one alternative [math] [math] [math] [math] ResetMaximum marks: 3 Flag question undefined
Which one statement is true?
Let denote a random sample from a distribution with pdf for , where . Consider a dataset and let the cost function for estimating the model be the negative log-likelihood. Consider the critical point that you found that you found in Question 2 and the formula for the second derivative that you derived in Question 3. What can you conclude? Tick all that apply.
Which one statement is true?
更多留学生实用工具
希望你的学习变得更简单
加入我们,立即解锁 海量真题 与 独家解析,让复习快人一步!