Linked Questions

0 votes
0 answers
18 views

Calculate confidence interval for the population variance [duplicate]

Here is the problem: When cheching the Chi squared distribution table, the it seems like in the solution the denominators should be switched, because for .025 quantile the value is 13.844 and for ....
Gianni D'Adova's user avatar
102 votes
9 answers
15k views

Are there any examples where Bayesian credible intervals are obviously inferior to frequentist confidence intervals

A recent question on the difference between confidence and credible intervals led me to start re-reading Edwin Jaynes' article on that topic: Jaynes, E. T., 1976. `Confidence Intervals vs Bayesian ...
Dikran Marsupial's user avatar
37 votes
3 answers
7k views

I know the 95% confidence interval for ln(x), do I also know the 95% confidence interval of x?

Suppose the 95% confidence interval for $\ln(x)$ is $[l,u]$. Is it true that the 95% CI for $x$ is simply $[e^l, e^u]$? I have the intuition the answer is yes, because $\ln$ is a continuous function. ...
Tamay's user avatar
  • 505
8 votes
3 answers
2k views

Why are confidence intervals of hazard ratios not symmetric?

My understanding is that the confidence interval for a hazard ratio should be symmetrical about the mean (the distance between the lower limit and the mean is the same as the distance between the mean ...
James Moore's user avatar
6 votes
2 answers
485 views

Highest-density vs equal-tailed confidence interval

When a sampling distribution is symmetric (and I'm okay assuming unimodal too, if necessary), it's natural to center confidence intervals around the point estimate. But for a skewed distribution (e.g. ...
Quinn Culver's user avatar
5 votes
4 answers
4k views

Asymmetric confidence intervals

Suppose we have iid data $X_i$ with known variance $\sigma^2$, and wish to write an asymptotic $1-\alpha $ coverage CI for the population mean $\mu$. CLT implies that if $z_q$ represents the $q$ ...
Golden_Ratio's user avatar
7 votes
3 answers
567 views

Unable to understand what confidence interval means

I seek to understand what confidence interval is with the aid of following example (which I know how to solve but do not understand the rationale behind it); Suppose it is known that the weight of ...
Quorthon's user avatar
  • 107
12 votes
1 answer
1k views

The basic logic of constructing a confidence interval

Consider a model with a parameter of interest, $\theta$, and its point estimator, $\hat\theta$. For simplicity, assume $\hat\theta\sim N(\theta,\sigma^2/n)$ (in numerous instances this could be ...
Richard Hardy's user avatar
3 votes
2 answers
837 views

Differences between a frequentist and a Bayesian density prediction

What are some essential differences between a frequentist density forecast/prediction and a Bayesian posterior for an outcome of a random variable? Of course, there will be differences in how they ...
Richard Hardy's user avatar
0 votes
3 answers
246 views

Interesting question on confidence intervals

Say I conducted a sample and did the relevant processing to get a 95% confidence interval of a parameter to fall between a [10,14]. My friend did another sample, and got a x% confidence interval of a ...
Joel Tan's user avatar
3 votes
2 answers
930 views

How can I use this pivotal quantity to find the shortest length confidence interval for $\theta$?

Let $X_1,\cdots,X_n \sim f(x|\theta)=\frac{\theta}{x^2}, x> \theta$ be a random sample where $\theta>0$ is unknown. I want to use $\frac{\theta}{X_{(1)}}$ as a pivotal quantity. How can I use ...
Ron Snow's user avatar
  • 2,073
2 votes
1 answer
405 views

Confidence Interval for a MOM Estimator of a uniform distribution

If $X$ is a random variable from the uniform distribution on the interval $(\theta, 2\theta)$, how would one construct a 90% confidence interval for the method of moments estimator of $\theta$? The ...
Mike K's user avatar
  • 23
2 votes
1 answer
119 views

Finding the best confidence interval for given confidence level

(This is more of a remark than question, essentially I want to know if there are any works in this direction) I find method like linear regression unsatisfactory mainly because the prediction for y ...
EarthIsNotFlat's user avatar