Questions tagged [statistical-inference]
The area of statistics that focuses on taking information from samples of a population, in order to derive information on the entire population.
2,458 questions
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9 views
What does this kind of mu mean in statistics
I know how to work with it but it have absolutely no clue wat is means.
I mean the mu with the ~ on top
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21 views
Is the following always true: $\mbox{Var}[\mbox{Range}(X_1,\cdots,X_n)] = O(n^{-B})$ with $0\leq B \leq 2$?
Here $X_1,\cdots,X_n$ are i.i.d. The two extremes $B=0$ and $B=2$, and the standard case $B = 1$ are illustrated in the picture below. For the reference, see here.
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15 views
Proving independence between Beta estimated and Delta in OLS
I know that in ordinary least squares $b$(beta estimated) and $\delta^2$(variance estimated) are independent, but how do I prove that?
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14 views
Show Consistency for every component
For $j=1,...,k$ let $t_{n,j}:\Omega_n \rightarrow \mathbb{R}$ be an estimator for $h_j(\theta) \in \mathbb{R}$.
Show that $t_n(X)=(t_{n,1}(X),...,t_{n,k}(X))$ is a consistent estimator of $h(\theta)=(...
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1answer
31 views
How to argue why one dice is more rigged than the other?
Let $\omega$ be a finite set and $P : \Omega \rightarrow \mathbb{R}$ be a probability measure.
You are given a set of three dices $\{A, B, C\}$. The following table describes the outcome of six ...
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1answer
42 views
Asymptotic Normality lemma (Serfling - 1980)
I'd like some assistant on the proof of the following Lemma:
If $X_n$ is $AN(\mu,\sigma_n^2)$, then also $X_n$ is $AN(\overline\mu,\overline\sigma_n^2)$ if and only if $\frac{\overline\sigma_n}{\...
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17 views
Why wont the mean height of 70 fall under 99.7 percent when using formula: mean+/-3(SD)
Sample problem: In general, the mean height of women is 65″ with a standard deviation of 3.5″. What is the probability of finding a random sample of 50 women with a mean height of 70″, assuming the ...
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40 views
How easy is it to create false evidence for a biased coin?
I have a biased coin which comes up heads with probability $p$. I know the value of $p$, but I want to falsely claim that the coin has a different probability of heads, $q$, where $q > p$.
To ...
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7 views
link function interpretation for models
In the categorial regression using the logit link function, the estimated coefficients are used to calculate the odds ratios or the ratio between two odds, that is, the model is interpreted through ...
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1answer
51 views
Finding the UMVUE of $\frac{1}{\lambda}$
I have been given the pdf:
$$f_X (x; \lambda) = \left(\frac{\lambda}{\pi}\right)^{\frac{1}{2}} x^{-\frac{3}{2}} e^{-\frac{\lambda}{x}} $$
with support $x>0$ and $\lambda>0$.
I am asked to ...
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4 views
Confusion with Gauss Markov
Consider the the linear regression model
Yi = β xi + ei
,
where the numbers x1, . . . , xn are known, the independent random variables e1, . . . , en
have the N(0, σ 2
) distribution, and the ...
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0answers
19 views
Why is the KL divergence the number of bits required to represent the error of an estimator?
I am familiar with several interpretations of the KL divergence, last week I heard of a new one, mentioned in a lecture on probabilistic graphical models. It was stated kind of offhandedly, so I hope ...
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16 views
Conditional Interpretations of Linear Regression
We estimate a linear regressor in the 1 dimensional with x and y random variables with zero mean:
y/x = $\alpha$ x
We can rewrite this using the variance of the variables as:
y/x = $\rho \frac{\...
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1answer
81 views
Can I do statistical analysis over a MILP problem?
I'm trying to solve a delivery problem which involves transportation of goods from a set of sources to a set of destinations ...
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12 views
Why is simple random sampling not sufficient for exponential distribution [closed]
For exponential distribution, why is a simple random sampling not the best design to yield a precise estimate for the population paremeters such as mean and variance?
Suppose there was an auxiliary ...
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6 views
Question about the equality of variances of two populations [closed]
When finding the confidence interval for the mean difference between two groups of sample, under which assumption about the equality of their population variances should we take if no information ...
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24 views
Rao Blackwell and sufficient statistics
Suppose that X1, . . . , Xn are independent identically distributed random variables
with a B(m, θ) distribution
where m is a known positive integer and θ is unknown.
I have shown that θ* = X1/m is ...
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28 views
Does $X_1,…,X_n$ being a random sample from $N(\mu,\sigma^2)$ $\implies \frac{\overline{X}-\mu}{\frac{s}{\sqrt{n}}}$ ~$t_{n-1}$?
Does $X_1,...,X_n$ being a random sample from $N(\mu,\sigma^2)$
$\implies \frac{\overline{X}-\mu}{\frac{s}{\sqrt{n}}}$ ~$t_{n-1}$?
If so does the above imply that a standard normal divided by the ...
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19 views
Goodness of fit test
I have the following exercise that shows $n=6$ numbers:
$$ 1.40, 1.55, 1.35, 1.50, 1.29, 1.64 $$
Is data normally distributed at the 5% significance level?
Surely $\overline{x} = 1.455$, $s=0....
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28 views
If $X_i \sim U(\theta-\frac{1}{2};\theta+\frac{1}{2})$, show that $[X_{(1)},X_{(n)}]$ is a confidence interval
Let $X_1,...X_n$ random sample from
$f(x;\theta)=I_{[\theta-\frac{1}{2};\theta+\frac{1}{2}]}(x)$.
a) Show that $[X_{(1)},X_{(n)}]$ is a confidence interval for $\theta$.
b) Compute the ...
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2answers
32 views
$U$~$N(3,16)$ $V$ ~$\chi_{9}^{2}$ U and V are independent random variables. Find $P(U-3<4.33\sqrt{V})$
$U$~$N(3,16)$
$V$ ~$\chi_{9}^{2}$
U and V are independent random variables.
Find $P(U-3<4.33\sqrt{V})$
(The notes I'm working through don't seem to approach this rigorously...)
The answer is $P(...
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12 views
Equality regarding the square of the sample mean
Given that $X_1,...,X_n$ is an i.i.d sample and its sample mean is $\overline X_n$, I have to prove the following equation:
\begin{equation*}
\frac{n-1}{n} \sum_{i=1}^n(\overline{X}_{n-1,i}^2 ...
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11 views
Generating random samples from a posterior distribution
Let
$$p(D \mid \mu,\sigma^2) \sim \mathcal{N}(\mu,\sigma^2)$$
where $D=(x_1\ldots x_n)$ is my data.
I imposed a normal prior on the mean as
$$\pi(\mu) \sim \mathcal{N}(\mu_0,\sigma_0^2)$$
Using Bayes, ...
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0answers
20 views
Find $k \in R$ such that $P\left(\max\left\{\frac{{S_x}^2}{{S_y}^2}, \frac{{S_y}^2}{{S_x}^2}\right\} > k\right)= 0.05$
Let $\overline{X}$ and $\overline{Y}$ sample means and ${S_x}^2, {S_y}^2$ unbiased estimators for the variance of 2 independent random samples of size 7 with normal distribution with mean unknown and ...
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1answer
45 views
Finding a confidence interval for shifted exponential distribution
Let $X_1,\ldots, X_n$ are i.i.d. random variables such that: $$f(x;\sigma ,\theta)=\frac{1}{\sigma}e^{\frac{-(x-\theta)}{\sigma}}, x\gt \theta$$ where $\sigma \gt 0 $ and $\theta \in R$ .
a) if ...
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0answers
10 views
econometrics: weighting frequency over time
I want to measure a model like:
Score = arunning_sum_of_all_exercises + brunning_sum_of_identical_exercise + c*exercise_density_value_in_period_x --other variables --
Lets say I want to test ...
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1answer
24 views
Finding shortest Confidence Interval for an Exponential Distribution
Let $X$ such that $f_{X}(x\mid\theta) = \theta e^{-\theta x} I_{(0, \infty)}(x)$, where $\theta > 0$. If $[X, 2X]$ is a confidence interval for $\frac{1}{\theta}$:
a)Find the confidence ...
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0answers
66 views
Which of $s^2$ and $S^2$ is a better estimator of $\sigma^2$ in the sense of the mean squared error?
Let's recall that:
$$s^2=\frac{1}{n}\sum_{i=1}^{n}(X_{i}-\bar X)^2\quad\&\quad S^2=\frac{1}{n-1}\sum_{i=1}^{n}(X_{i}-\bar X)^2$$
We actually know that $S^2$ is an unbiased estimator of the ...
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32 views
Party Invitations Problem [closed]
There is a party on some Sunday next year, it is open to all.
a)Everyday at some point, a person comes and drops a slip with contact details in a dropbox.
b)A person on a given day could comeback ...
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31 views
Require guidance to proceed further in learning statistics
In my undergraduate course I learnt introductory level statistics and I really enjoyed it. With that background I decided to follow predictive analysis further and decided to take up this book . But I ...
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28 views
Why isn't the chi-squared test appropriate in this case?
I was trying to solve the following exercise:
Two researchers studied the relationship between infant mortality and environmental conditions in Dauphin County, Pennsylvania. As a part of the study, ...
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1answer
29 views
Finding aconfidence interval for $\theta$ of the uniform distribution on $(0, \frac{1}{\theta})$
Suppose $X_1,\ldots, X_n$ are i.i.d. random variables $Uniform (0, 1/ \theta)$. Find a 95% confidence interval for $\theta$.
What I tried:
$f_{X} (x) = \frac{1}{1/\theta}=\theta, F_{X} (x) = \frac{...
2
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1answer
36 views
Show that $\min\{X_{1},X_{2},\ldots,X_{n}\}$ is sufficient for $\mu$ when $\sigma$ is fixed
Let $X_{1},X_{2},\ldots,X_{n}$ be a sample from a population with density $p(x,\theta)$ given by
\begin{align*}
p(x,\theta) = \frac{1}{\sigma}\exp\left\{-\left(\frac{x-\mu}{\sigma}\right)\right\}
\...
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1answer
33 views
Find distribution of test statistic under $H_0$
I have a shifted double exponential distribution with density $$f(x;\theta)=\frac{1}{2}e^{-|x-\theta|}$$ Now I have a test statistic given by $$T(x_1,...,x_n;\theta_0) = \sum_{i=0}^n |x_i - \theta_0| -...
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1answer
39 views
Finding confidence interval for $\frac{kx^{k-1}}{\theta^k}$
Let $X_1,\ldots, X_n$ are i.i.d. random variables such that: $$f(x;\theta)=\frac{kx^{k-1}}{\theta^k}, x\in (0,\theta)$$ where $\theta \gt 0 $ and $k$ is a positive integer. Find a $100(1-\alpha)% $% ...
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1answer
61 views
Coverage probability for Uniform$(0, \theta)$
Let $X_1 \dots X_n$ denote a random sample from a uniform $(0, \theta$) distribution.
PROBLEM:
Compute the coverage probability for the CI:
$$\left(\frac{X_{(n)}}{0.95}, \frac{X_{(n)}}{0.25}\right)...
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18 views
Poisson Generalised Likelihood Ratio Test
I am attempting Q19H from this document:
https://www.maths.cam.ac.uk/sites/www.maths.cam.ac.uk/files/pre2014/undergrad/pastpapers/2014/ib/PaperIB_1.pdf
I am alright with the first part, however, it ...
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1answer
10 views
Distribution of expectation operator when computing mgf of X bar
I'm trying to work through the proof for the moment generating function of $\overline{X}$.
The proof below looks fairly straightforward but I'm having trouble understanding getting from the 2nd to ...
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29 views
Confidence interval from p value
The question is: given that $H_0: \mu=34, H_a:\mu<34$ gives p-value $p$, find the largest confidence level, $c$, that does not include $34$.
The answer does this:$1-2p=c$ But I do t understand ...
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13 views
Do we have to assume normality of the data, even when we conduct z-test or t-test with large samples?
I read this lecture note and found that it assumes normality of the data when we conduct z-test or t-test.
I can accept that when we have small samples we have to assume normality of the data, ...
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0answers
8 views
Compute the profile log likelihood for $\alpha$ giving your answer in terms of $\hat{\alpha}_{\beta}$.
We have $X_{1}, X_{2},...,X_{n}$ IID random variables from a Poisson distribution with mean $\mu_{i}=\exp{(\alpha + \beta z_{i})}$.
i) For fixed $\beta$, find $\hat{\alpha}_{\beta}$, the maximum ...
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0answers
22 views
Some questions on the nature of statistical/probabilistic deduction
I have been doing some reading and thinking on the nature of statistical inference and the way formal statistics models an event seems a bit strange to me. Here is how I like to think about it:
In ...
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40 views
The continuous probability dilemma
If X is a random variable with a mean of 85.43 and a standard deviation of 17.23, what is the mean of the sample means calculated from samples of size 12 drawn from this population? Give your answer ...
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53 views
What does E_n mean
I came across the following symbol in this paper:
I am a little bit confused by the symbol . Does it simply mean population average?
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16 views
How to infer the underlying distribution of a statistic (Bayesian inference?)
I have a list of approximately 30,000 venues in a major US city. These venues hold all kinds of events, sports, conferences, concerts etc. I want to know the distribution of the 'capacity' of these ...
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13 views
Covariance and trace ( Mallow's statistics )
From Elements of Statistical Learning Exercise 6.10 ( cross-validation and estimator for the in-sample prediction error )
The difference between in-sample prediction error and the average sum of ...
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0answers
19 views
B-Splines and sum of uniform variables
Exercise 5.2 in Elements of Statistical Learning
Goal is to show that an order $M$ B-Spline basis function is the density function of a convolution of $M$ uniform random variables. Although I feel ...
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0answers
11 views
Conflicting unilateral and bilateral tests. How to proceed?
Suppose I have $H_0: \beta = 0$ vs $H_1: \beta \neq 0$. My data tells me that I don't reject the null, with a p-value of approximately 0.06.
Then out of curiosity, since by the scientific theory one ...
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0answers
40 views
Question about a new type of confidence interval
I came up with the following result, tested on many data sets, but I do not have a formal proof yet:
Theorem: The width $L$ of any confidence interval is asymptotically equal (as $n$ tends to ...
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2answers
44 views
How to find MLE of this piecewise pdf?
Suppose $X_1,\ldots, X_n$ are i.i.d. random variables having pdf
$$
f_{\theta}(x)=\left\{\begin{array}{ll}{\theta,} & {0 \leqslant x \leqslant 1} \\ {1-\theta,} & {1<x \leqslant 2}\end{...
