10 мая 2015 г. · I am trying to find the expected value and variance of Yi=ln(Xi) for X is uniformly distributed between 1 and 3. I believe that E(Yi)=(ln3)/2 ... |
14 дек. 2023 г. · If a transformation of a random variable preserves its mean and variance, can it change the covariance with another random variable? [closed]. |
26 мая 2024 г. · I understand the calculations quite well, and I spent some time on the linked page understanding the derivation of the formula itself. |
6 нояб. 2020 г. · If we have a random variable having standard normal distribution (mean = 0 and var = 1) then its square is chi-square distribution with 1 degree of freedom. |
14 мая 2024 г. · I'm new to probability and I want to know the general formula for calculating the mean and variance of a transformed random variable. |
29 янв. 2023 г. · I'm looking for a general expression for the mean of. ⟨f⋅1n⋅∑ni=1xif⋅1n⋅∑ni=1xi+(1−f)⋅1m⋅∑mi=1yi⟩. where xi, yi are exponentially ... |
5 окт. 2018 г. · Here's something you can try as a first approximation: focus on using a linear transformation, and aim for the goal of getting the two variables to have the ... |
25 июн. 2016 г. · The goal here is to find a transformation for a given distribution such that the stability under this transformation is preserved. |
23 янв. 2020 г. · Let's now approach a transformation, where several random variables are combined into another single random variable, ie x,y→z and z=Z(x,y). |
6 сент. 2016 г. · I have troubles applying the Law of Large Numbers (abbreviated LLN) when the random variable is transformed. Let all Xi be independent and ... |
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