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1 vote
1 answer
41 views

Comparison of two test metrics

I'm trying to compare two test metrics (Metric A and Metric B) to determine which one better predicts a delta value, which represents a Euclidean difference. I am unsure how to determining which ...
agf1997's user avatar
  • 41
0 votes
1 answer
57 views

Can I use the ratio of two p-values under two hypotheses as a likelihood ratio?

I am designing a simple study where I ask participants a problem. Then I code the answers as either correct or incorrect. I have a prediction from the literature that the percentage of correct answers ...
Denis's user avatar
  • 1
6 votes
1 answer
207 views

Permutation test for exponential null hypothesis: really bad?

Having found nice formulas for testing the null hypothesis under exponentially-distributed samples, I wanted to see how well permutation tests could do the job. And the answer, assuming no mistakes, ...
feetwet's user avatar
  • 1,162
5 votes
1 answer
764 views

Likelihood ratio test vs p value for Poisson regression

I have a Poisson regression model, from its summary table, I could see the p-value for a certain variable, e.g. gender. Since the p-value is testing the hypothesis whether the coefficient of gender ...
user344849's user avatar
0 votes
0 answers
60 views

Using likelihood ratios instead of p-values

I am analysing data from an experiment consisting of 4 treatments, and I am interested in treatment differences of DNA damage caused by a toxicant. I have consulted a statistician to discuss some of ...
vre90's user avatar
  • 1
1 vote
2 answers
81 views

What AIC is necessary to select this model?

I have read this page but am a little confused and I think a real example might help solidify the idea in my mind regarding how to use the AIC in model selection. Equivalence of AIC and p-values in ...
LucaS's user avatar
  • 771
4 votes
1 answer
199 views

Hypothesis Testing: Different p-values from different test statistics

this is a question that has been lingering in my mind for a very long time, but came up again in practice and I thought I'd reach out and ask about it. The situation I'm interested in is when you are ...
N.P.'s user avatar
  • 41
1 vote
1 answer
1k views

Likelihood ratio test vs. p-value under the null hypothesis

I am learning about hypothesis testing and I have a conceptual confusion about the differences between a likelihood ratio test and the p-values derived from testing the likelihood of the data under ...
bGe's user avatar
  • 21
1 vote
2 answers
4k views

ANOVA vs likelihood ratio test (different result)

I found the likelihood ratio test has a very similar setup as ANOVA: we are essentially testing if adding an additional variable would significantly increase the fitness. So I run both statistical ...
Taotao Tan's user avatar
2 votes
1 answer
109 views

Testing a nonstandard hypothesis: constructing test statistic, finding rejection region and obtaining $p$-value

I have a sample of size $n=1$ (a single observation $x_1$) from a random variable $X\sim N(\mu,\sigma^2)$. The variance $\sigma^2$ is known, but the expectation $\mu$ is unknown. I would like to test ...
Richard Hardy's user avatar
0 votes
0 answers
276 views

Neyman-Pearson hypothesis testing and composite alternative hypothesis

I am in love with the idea of setting up a statistical test à la Neyman-Pearson when possible, because it is just so intuitive. Most of times, $H_0$ is some kind of point hypothesis, but $H_1$ is ...
marco's user avatar
  • 215
4 votes
0 answers
219 views

P-value of LR test

I've been studying more about GLRT (Generalized Likelihood Ratio Tests) and I came up with the following problem. Let $X\sim N(\theta,1)$ and consider the hypothesis $H_0:\theta\in[a,b]$ against $H_1:\...
Statistical Shiba inu's user avatar
8 votes
1 answer
2k views

Understanding how to find more "extreme" values when calculating p values in two sided hypothesis tests

In hypothesis testing, the definition of p value is the probability of obtaining test results at least as extreme as the results actually observed, under the assumption that the null hypothesis is ...
user avatar
1 vote
1 answer
117 views

Manually calculating `false negative risk` (using Likelihood ratio and Bayesian analysis)

The question is with reference to this paper: https://arxiv.org/pdf/1802.04888.pdf and https://royalsocietypublishing.org/doi/full/10.1098/rsos.171085 It give clearly how to calculate ...
rnso's user avatar
  • 10.1k
1 vote
1 answer
679 views

Rejection region of a z-test

Be $\mathbf X:=(X_1,..,X_n)$ a $n$-dimensional sample of Gaussian rvs with known population variance $\sigma^2$, but with unknown population mean $\mu$. I test the rejection of $H_0$ in favor of $H_1$:...
marco's user avatar
  • 215

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