Questions about the statistical process of sampling from a population, in order to obtain information for use in statistical learning, estimation, hypothesis testing about some population or process.

learn more… | top users | synonyms

0
votes
0answers
18 views

Combining Sample Means and Variances

Let us assume we have several samples of unknown size but known mean value $\mu_{i}(x)$ and known variance $\sigma_{i}^{2}$. Now we want to calculate the mean value and variance for the total ...
1
vote
0answers
19 views

Dvoretzky–Kiefer–Wolfowitz inequality holds for discrete distributions?

I am wondering whether Dvoretzky–Kiefer–Wolfowitz inequality holds for discrete distributions? Any comments or references would be greatly appreciated.
0
votes
0answers
17 views

Proving that each element in reservoir have equal probability of been selected in reservoir sampling?

Here is the description of the algorithm and proof of the correctness The algorithm creates a "reservoir" array of size $k$ and populates it with the first $k$ items of $S$. It then iterates through ...
0
votes
1answer
12 views

What is the sample rate? [on hold]

I am a bit confused when i use matlab and create a linearly spaced vector linspace. I when i usually want to create a data set I use ...
0
votes
0answers
22 views

problem about graph of auto-correlation for wide-sense stationary process?

I have the answers but I don't understand the idea and how it can be solved ? please clarify and help me to understand it thank you all
1
vote
0answers
7 views

distribution of non-central chi random sample

Suppose that $X_1,X_2, \ldots, X_n$ is a random sample from a non-central chi distribution with $1$ degree of freedom. What is the distribution of the sample variance of $X_1,X_2, \ldots, X_n$?
1
vote
1answer
23 views

Law of large numbers with correlated variables

My sample is a series of measurements of the variable $x$. Measurement t, $x_{t}$, is correlated with $x_{t-n}$. However, as n tends to infinite the correlation tends to zero. If the sample grows, ...
2
votes
1answer
20 views

Sampling distribution of $\frac{\bar{X}}{S}$

Suppose that I have a random sample $X_1, … ,X_n$ from a $N(0,\sigma^2)$ distribution. What is the distribution of $$\frac{\bar{X}}{S}$$ and what is it's standard deviation? Here $\bar{X}$ is the ...
0
votes
1answer
35 views

How to calculate a population mean for a normal distribution

This is for homework, but I'm a bit confused on how I can find $E(X_i) = \mu$ given a normal distribution. The question is as follows: In a farm, let $X$ denote the number of fruits harvested in a ...
1
vote
1answer
18 views

Sampling with replacement: finding all answers with one specific characteristic

I have a book, and I dont get it. We are talking about the following situation.Lets say you have 5 experiments and the sample space for each is $S = \{0,1\}$. So the total amount of possible outcomes ...
0
votes
1answer
13 views

Probability of successful sampling fron a population

Say I have a list of 100 questions from which to study for an examination. In the examination I will be asked 10 random questions from the 100 and I pass the exam if I answer 6 questions correctly. ...
0
votes
0answers
17 views

Is it a simple random sample if sampled on a fixed interval?

If I take a sample of the population every 15 minutes for example, would it be reasonable to treat the samples as an SRS? EDIT: The population is a speedtest of my internet connection. The data will ...
0
votes
0answers
3 views

Sampling specific unit vectors

Given a unit vector $A\in \Bbb{R}^N$ and an angle $\theta$, the unit vector $P$ needs to satisfy $\left<A,P\right>=\cos\theta$. How to sample $P$ uniformly? For example: If $A = ...
0
votes
0answers
10 views

Sampling in the time domain vs. sampling in the frequency domain

If I have a sample rate of 2 seconds on a 128 second time window (64 samples total) and then I do a Fourier transform, what is my sample "rate" in the frequency domain? Will I end up with 64 ...
0
votes
0answers
22 views

Random Variables and Statistic

I'm studying Statistical Inference by Casella and I'm confused with the definitions of random variable & statistic. So let we have the probability space $(\Omega, F, P)$ where $\Omega$ is the ...
2
votes
0answers
36 views

How sample size affects confidence interval.

Suppose the weight of n primary one students has sample mean of 20KG. If n = 40, a certain percentage of confidence interval for the population mean is (15.5,24.5). Find the confidence interval if we ...
1
vote
0answers
25 views

Comparing two populations

I have sampled from two separate populations, and I want to figure out which population is better. Population 1 has an average score of 84.1 and a standard deviation of 11.8. Population 2 has an ...
1
vote
0answers
29 views

Simulating r.v.'s from a joint density by rejection sampling in R. Continued

I wish to sample variables $v$ and $w$ from the joint density $$(v+w)e^{-\frac{(v+w)^{2}}{2x_{0}}-2\mu v-(\mu -\lambda )w},$$ where $x_0$, $\mu$ and $\lambda$ can be seen as positive constant. Since ...
0
votes
0answers
30 views

Fourier transform of a 3sinc^2(100πt)

I'm currently studying for an exam, and I'm not sure the textbook's answer for the fourier transform of 3sinc^2(60πt) is correct. For this question, I incorporated the duality property. Below is my ...
1
vote
0answers
20 views

MSE for the Method of moments estimator of variance

would appreciate some help here please - Question: Find the MSE for the MOM estimator of the variance $\hat{\sigma^{2}} = \frac{n-1}{n}S^{2}$ based on a random sample from a normal distribution. My ...
1
vote
0answers
23 views

How can I make the mean of samples be approximately equal to the mean of actual continuous signal?

Suppose there is signal f(t) that is continuous and periodic. It is known that this f is T-periodic. (but it's not necessarily a single cosine f(t).( I'd like to make the mean of samples be ...
1
vote
1answer
34 views

Probability of occurrence in a subset of a population [closed]

If 100 individuals i.e. 2% of a population totalling 5000 people, have a certain characteristic, what is the probability of two or more persons within a subset of 10 persons, taken from that same ...
1
vote
0answers
24 views

Discretizing a set of functions while preserving orthogonality: general method?

Say I have a set of functions, $\left\{ \psi_j \right\}_{j \in \mathbb{N}}$ where $\psi_j : \mathbb{R} \mapsto \mathbb{C}$. Furthermore, these functions are orthogonal on some interval $A \subset ...
0
votes
0answers
24 views

Sampling from conditional distiribution

I want to sample from condtional distribution given by formula: $$ P[T_{n+1} =t| T_n=t_n] = ...
0
votes
1answer
27 views

Chi distribution and sample variance

Suppose that the height (in cm) of randomly selected male is distributed according to normal distribution with parameters $\mu = 175$ and $\sigma = 5$. We pick a simple random sample of size ...
0
votes
0answers
23 views

Sampling from weighted sum distribution

I have $n$ probability density functions $p_1, \ldots, p_n$, which I am able to sample from. How to sample from a weighted sum of these PDFs $$c_1 p_1+ \cdots+c_n p_n$$ given that $c_1+ \cdots+c_n=1$? ...
1
vote
1answer
63 views

Uniform lattice sample inside a particular convex polytope

[update]: hardmath suggests using tools from linear programming. This looks like a good idea indeed. I can now tell that my feasible set is described by: $Set = \{d \in \mathbb{N}^c, -B.d\leqslant ...
1
vote
1answer
85 views

Finding the minimum sample size of an opinion poll

I have encountered the following problem in a textbook,: Assume that 28 % of voters favored party A at some point. A later opinion poll gave a result of 30 % of voters favoring party A. What is ...
0
votes
2answers
63 views

Understanding Sufficient statistic.

A sufficient statistic for a parameter is a statistic that captures all the information about a given parameter contained in the sample. My question: Is the above sentence correct. (I think it is). ...
0
votes
2answers
20 views

Checking whether the given statistic is sufficient

A random sample is drawn from a Bernoulli distribution with $X_i = 1 $ with unknown probability $p$ and zero otherwise. Examine whether the following statistics are sufficient for the parameter $p$ ? ...
1
vote
0answers
14 views

Random assignments with 95% confidence of at least $K$ duplicate assignments

I'm running an experiment online. Of my $N$ test questions, each participant sees $M$ (randomly selected, $M < N$). If I want a minimum of $K$ responses to each question, how can I calculate a ...
0
votes
0answers
21 views

Help Determining a Statistically Significant Sample Size

I am planning on conducting an advertisement test for a website. Basically, I want to know whether visitors to my website would simply just return and convert regardless of seeing an ad or not. I will ...
0
votes
0answers
16 views

Importance Sampling Distribution

I have an infinite set of events and these event are either ture or false. I perform a monte carlo simulations to find the probability of an event being true. Now I have the knowledge that $A$ % of ...
1
vote
1answer
30 views

Resampling Probability

I've had a student working on some resampling problems. Here's a question I've posed to her: M consecutive draws of size K are taken from an urn with N balls. Balls are replaced between draws. ...
0
votes
0answers
5 views

Why is importance sampling always framed as calculating E(h(x))?

In all of the tutorials I've seen, importance sampling is always framed as a way to calculate: $$E(h(x)) = \int h(x) f(x) dx \qquad x \sim f$$ I don't understand why it is not framed as a more ...
0
votes
0answers
7 views

Statistics sampling on over-lapping categories.

I got a finite population. (e.g. a pool of files) The objective of the audit is to determine whether the files are in order. I need to audit the files for 5 different category on the population. Each ...
0
votes
0answers
357 views

Sampling Distributions

Parts being manufactured at a plant are supposed to weigh 40 grams. Suppose the distribution of weights has a Normal distribution with mean 40 grams and standard deviation 2 grams. Quality control ...
-1
votes
1answer
56 views

Sampling demonstration using combinatorics

Suppose that I have a finite population of A's and B's, with properties: Population size: $n$ There are $n_1$ A's and $n - n_1$ B's (so that $p = \frac{n_1}{n}$, $q = \frac{n - n_1}{n}$) I'm ...
0
votes
1answer
14 views

hypergeometric distribution and random sampling

Is there any simple and fast algorithm (to be implemented in Javascript) to obtain a sample from the hypergeometric distribution? My needed sample size is very large (100,000,000).
0
votes
2answers
45 views

Chance to pick n balls out of N numbered ones where one ball is a specific number (without replacement, order doesn't matter)

An urn contains 120 balls numbered 1 to 120. Find the probability of choosing 3 balls without replacement that includes one ball numbered “11”. My attempt: Picking "11" would have the probability ...
1
vote
2answers
56 views

Basic sampling of joint random variables

If random variables $X \in \mathcal X$ and $Y \in \mathcal Y$ are sampled jointly from a target distribution $\pi$, i.e. $(X, Y) \sim \pi(x, y)$, is $X$ sampled from the correct marginal? In other ...
1
vote
0answers
64 views

Monte Carlo sampling and Kolmogorov–Smirnov test in practice

I have two deterministic algorithms, Algorithm 1 and Algorithm 2. The first has $m$ inputs and one output, and the second has $n$ inputs and one output. The distributions of the inputs of the ...
1
vote
0answers
24 views

Sampling into two sets

Let $N$ be the set of integers $1,\cdots,n$ and let $A$ be a set of numbers sampled independently from $N$ such that each element of $N$ has probability $p=0.5$ to be selected. I am trying to answer ...
1
vote
0answers
19 views

How can I tell whether sample size is inadequate or not ?

I am given sample size of 15322 students and our research topic is to find out a relationship between students academic performance and participation in sports team. The question asks " do you think ...
0
votes
0answers
23 views

oversampling by 2, which method is correct?

I want to oversample a continuous-time signal by a factor of 2. My signal is: $ r(t_1, t_2) = \sum_i \sum_j a_{i,j} h(t_1 - iT, t_2-jT)$, where $a_{i,j} \in {\pm 1}$ and $h(t_1,t_2)$ is the kernel ...
1
vote
2answers
19 views

Can we predict next sample using the existing samples?

Suppose that I have 18 data points and I'm sampling 3 data points each time. Suppose that I have 60 samples (each has 3 data points). Can we predict the next sample (of 3 points) from the existing ...
0
votes
0answers
88 views

Importance Sampling of 2D constant piecewise function convertible to 1D?

So I have a constant piecewise 2D function (luminance values of pixels of an image) that I am writing an importance sampling algorithm for. I was going to write my algorithm by first sampling the 1D ...
1
vote
0answers
39 views

Urn with marbles, unknown number of colors

When I started with this calculation I thought this was going to be a flashback from school decades ago but now after searching I'm confused if I'm over thinking it or if it's not as trivial as I ...
0
votes
2answers
17 views

metrics for density-sampling similarity, beyond likelihood

I am looking for a metric that would evaluate the distance between a sample $S$ and a density function $D$ Building a sample from a known distribution can be done using a monte-carlo sampling, ...
0
votes
0answers
129 views

Nyquist–Shannon Sampling Theorem Counter Example?

I was learning about the Nyquist theorem regards signal processing the area of interest which I will rephrase below: Given a signal lasting infinitely long with a maximum frequency of f, then you can ...