2
votes
How can I back transform a log data to interpret t-test and get original CI?
I can log-transform it to be normally distributed, and then perform a t-test and get confidence intervals (CI). But how do I interpret the results of the t-test and the CIs?
If you want to compare 2 ...
- 68.8k
2
votes
Accepted
Logistic regression: What are use cases for logistic regressions where $n \neq 1$, i.e., $n >1$?
Assuming that your $n$ is the number of cases of each type, you end up looking at proportions of each successful rather than $0-1$ and you weight by $n$.
Stealing from https://stackoverflow.com/...
- 32.4k
2
votes
Prove E[Y|X] = f(X)
$\mathbb{E}[Y|X] = \mathbb{E}[f(X)+\epsilon|X] = \mathbb{E}[f(X)|X]+\mathbb{E}[\epsilon|X] = \mathbb{E}[f(X)|X]+\mathbb{E}[\epsilon] = f(X)+0$
- 2,301
1
vote
Modelling losses in insurance - why nobody seems to talk about left-truncated distribution?
Even if the gof is amazing, is it not theoritically "wrong" to use non-left-truncated distributions for this kind of things?
If it is the case that some simple parametric distribution fits ...
- 51.6k
1
vote
Modelling losses in insurance - why nobody seems to talk about left-truncated distribution?
I assume that retention left-truncates the severity distribution and deductible does so for both the frequency and severity distributions (even in a less predictable way that the former).
If an ...
- 662
1
vote
Is this a known measure of "effective degrees of freedom" in regression?
This quantity seems to reduce to "Welch-Satterthwaite degrees of freedom" is the limit of variance of $x,y$ going to 0
- 5,699
1
vote
How to show for positive Borel functions $g, \int_{a}^{b} g(x)dF(x) = \int_{a}^{b} g(x)f(x)dx$
Albeit the concerns re the ambiguities as shown in the comments deserve clarification, these sort of problems are standard measure theoretic exercises. So, I am leaving below a general brief ...
- 870
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