New answers tagged inference
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Detecting and Forecasting Intermittent Time Series
For intermittent time series, you can use Croston's method. I personally never came across a situation where I had to use Croston's method however it is known to be an effective method to forecast ...
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Comparing multiple variances across 3 groups
It seems to me like you would like to know whether the variance in the "sales" variable is equal or not between the treatments "firm". There are a number of tests for heterogeneity ...
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Two sample proportions: How to test the hypothesis that the difference in proportions is less than a specified threshold?
You say that your null is that the difference in conversion is at least 1 percentage point, but in the comments you also agree that you suspect the change is at least one percentage point. Those two ...
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Accepted
How can I calculate response rate when I don't know how many people saw the item in the first place?
The first thing is to ask what information you have about the reliability of the publisher's estimates. Without such information you can hardly do better than 4/1000, but in any case you need to keep ...
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The role of variance of the distribution plays in Bayesian inference
Think about a simpler problem: estimating the mean $\mu$ in a frequentist setting.
It is sensible to use the MLE, $\bar X$, as our estimator. How accurate is this on average? We know that $\bar X \sim ...
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Is bayesian updating framework a valid concept?
You are confusing "general(ized) Bayesian inference" with "Bayesian inference." Users of the first are not generalizing priors, they are generalizing Bayes rule by allowing the ...
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How to calculate standard deviation when only mean of the data and sample size is available?
Can't comment on @Graipher's answer, so....
Given mean $\bar{x}$ and sample size $n$.
The following variances can be calculated.
Distribution
Parameters
Mean $\mu$
Variance
Student's-t as posterior ...
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How to obtain the local unbiased condition for an estimator from global unbiased condition?
The way that I understand how the local unbiased condition is obtained from the global unbiased condition can well be shown in the following picture
where the horizontal axis means the true value $\...
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Accepted
How to obtain the local unbiased condition for an estimator from global unbiased condition?
Work on local unbiasedness was done back in the 50s. The most prominent and accessible work $[\rm I]$ is due to Fraser.
First, understand the definition: $h(\mathbf x) $ is locally unbiased at $\...
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How to calculate standard deviation when only mean of the data and sample size is available?
In general this is not possible, as noted in the other answers.
But, if you know (or assume) something about the underlying distribution from which the data points have been drawn, then it is ...
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How to calculate standard deviation when only mean of the data and sample size is available?
Mathematical Reason
The only way you can meaningfully compare groups in this situation is simply to use their raw mean estimates and go from there. Any inferential test here, as Nuclear already ...
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How to calculate standard deviation when only mean of the data and sample size is available?
It's impossible. Consider any vector that has a mean of $0$ - multiply the values by $100$, and the standard deviation also increases by a factor of $100$, but the mean and sample size are unchanged. ...
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How to interpret Shap summary plot on causal application with X,T,Y?
I am actually dealing with the same type of model, and the interpretation is rather not straightforward for me as well. And I haven't found any clear explanation of how this works.
In theory, I ...
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Accepted
Puzzle: Detecting Duplicate Solutions
Your clarifications help. Here are some approximations - though I am not sure they are justified:
Of the $n$ solutions, you expect $pn-p$ to be copied and $n-np+p$ to be original.
Each original ...
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Is there a statistical test for one participant measured many times?
Addendum to Original Question
I was at the beginning of my statistical knowledge when I first posed this question and since have been exposed to quite a variety of topics. Revisiting this question, I ...
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