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Questions tagged [statistics]

Mathematical statistics is the study of statistics from a mathematical standpoint, using probability theory and other branches of mathematics such as linear algebra and analysis.

2 votes
1 answer
46 views

Suppose we have the sum of random, independent variables $$ Z_{ij} = X_i + Y_{ij}, $$ where $X_i \sim \text{Uniform}(-d, d)$ and $Y_{ij} \sim \text{Normal}(\mu, \sigma)$. Given that only one sample of ...
Roy Smart's user avatar
  • 177
0 votes
1 answer
38 views

I embarrassingly have a very simple question to ask in interpreting a data point. I have a calculated performance goal “event free rate” of 89%. I have an observed safety rate of 13.3% (95% CI: 8.5% - ...
Beachumbrella's user avatar
1 vote
0 answers
36 views

I have $n$ unit vectors $\mathbf{x}_i \in \mathbb{R}^p$, whose (sample) mean direction is calculated with $$ \mu = \frac{\bar{\mathbf{x}}}{\bar{R}}, \text{ where } \bar{\mathbf{x}} = \frac{1}{n} \...
V T's user avatar
  • 111
0 votes
0 answers
31 views

Given the linear regression model $$ Y = X\theta + \varepsilon, $$ the typical distribution of $\varepsilon$ is gaussian with mean zero and variance $\sigma^2$, but we could also assume $\varepsilon \...
tutoto's user avatar
  • 33
2 votes
0 answers
47 views

Yesterday I enjoyed some rounds of RISK: Global Domination with a friend from university. It is a long-running in-joke that “True Random” is the cause of winning and losing certain battles. Our ...
Markus Klyver's user avatar
0 votes
1 answer
30 views

I am grading hypothesis tests for an introductory statistics class and students occasionally give the following conclusion after rejecting the null hypothesis: Since $H_0$ is rejected, there is not ...
FabrizzioMuzz's user avatar
1 vote
1 answer
69 views

Unbiased Variance Estimator Let $x_1 , \ldots, x_N$ be iid sampled from X. Let Y(N) denote the N-mean estimator given by $$ Y(N) = \frac{1}{N} \sum_{i=1}^N x_i $$ Let v(N) denote the unbiased N-...
mathematurgist's user avatar
0 votes
1 answer
44 views

I was reading something. The context was we could measure the variables $X$ and $Y$ on individuals. And it appeared that $X$ and $Y$ were correlated with correlation: $\rho=0.3$. The writer then ...
DohnJoe's user avatar
0 votes
1 answer
45 views

We know that if an i.i.d. sample is drawn from $p_{\theta}=\text{Ber}(\theta)$, $\theta\in (0,1)$ then $$\mathbb{E}_{p_{\theta}}[\bar{X}] = \theta,$$ where $\bar{X}$ denotes the sample mean. Now, ...
SATYA's user avatar
  • 77
1 vote
1 answer
57 views

This is a simple question from measure theory. Fix a measurable space $(E,\mathcal{E})$ and a family $(P_i)_{i\in I}$ of probability measures on $(E,\mathcal E)$ ($I$ is any non-empty set). Let $n\geq ...
TrivialPursuit's user avatar
0 votes
0 answers
22 views

I am studying multi-class classification metrics and want to confirm the correct way to compute them from a confusion matrix. A weather classifier labels days as Sunny, Rainy, Cloudy. The test results ...
Minesota's user avatar
1 vote
1 answer
152 views

Let $(X_n)_{n\in\mathbb N}$ be a sequence of independent random variables with the same distribution. The common distribution $\mu$ is such that it is symmetric, that is, $\mu((-\infty,x])=\mu([-x,\...
triple_sec's user avatar
2 votes
1 answer
199 views

Given a finite (multi)set of elements $\{x_1, \ldots, x_n\}$ the arithmetic mean $\mathsf{AM}$ is less than or equal to the maximum element call it $\max$. In otherwords, $\mathsf{AM} \leq \max$. But ...
Dair's user avatar
  • 3,626
1 vote
0 answers
63 views

Say $E = \{p_\theta : p_\theta(x) = \exp(x^\top \theta - A(\theta)), \theta \in \Theta, M \theta = b\}$ is an exponential family affinely constrained in its natural parameter, where $\Theta$ is a ...
Aurelien's user avatar
  • 131
2 votes
0 answers
48 views

Suppose $n \in \mathbb{N}$. Suppose $s_0 > 1$ and $\xi_j \sim N (0, j^{- s_0} + n^{- 1})$, $j = 1, 2, 3, \ldots, n$. Let $\hat{s}_n$ be the maximum likelihood estimator of $s_0$. Is $\hat{s}_n$ ...
Mason's user avatar
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