# Questions tagged [bootstrap-sampling]

Use this tag for questions related to a statistical test or metric that relies on random sampling with replacement.

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### Statistics - Bootstrap Method

After scouring the internet and reference books for a couple of days I couldn't really find an answer to the current problem I am trying to solve. Lets say that I want to construct a confidence ...
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### Bootstrap vs Probability

I recently learned about bootstrap and I am confused with what is the difference between probability density function and bootstrap. For Example: If I consider exponential distribution to find the ...
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### Hypothesis testing with composite populations of unequal size and variance

I am trying to test whether two populations have different means. Let's call the populations "Glaciated" and "Unglaciated." Each population comprises data collected at a number of rivers (9 for ...
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### Calculate the estimator and its standard deviation by Parametric Bootstrap

The third quantile of a distribution function F is the point q such that F(q) = 0.75. Note the q (α; λ) (Gamma distribution). Then, the quantile would be estimated by ^q = q (^α; ^λ). We do ...
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### Apply function on two set to create a new (+ process validation: bootstrap iterations)

I am new to algebra and help would be more than welcome to tell me if the process I have built is OK, and if my attempt to apply formula on two sets to create a new one is also OK. Context I have a ...
25 views

### Apply formula on random sampling without replacement, but with replacement between each iterations

I am looking for an algebraic solution to explain that I apply a formula on a vector constituted of a random sampling of n elements in a population of size N without replacement. The formula is ...
14 views

### Consider why does bootstrap sampling distribution need to compute the estimate, If we knew the true parameters $\theta^∗$?

Page 192 of "Kevin Patrick Murphy. Machine Learning: A Probabilistic Perspective." says The bootstrap is a simple Monte Carlo technique to approximate the sampling distribution. This is ...
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### Is it possible to cluster particles and then resample each cluster?

Is it possible to cluster particles (in the particle filter) and then resample each cluster separately? if yes, the resampling are done parallel?
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### how to understand Bootstrap t - method

Here is the definition of bootstrap t-method in book Statistics and Data Analysis for Financial Engineering with R examples page ...
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### Sampling distribution of a functional T

While studying the bootstrap method, I came across with the following definition of the sampling distribution of a functional T: Let's say $X_1,...,X_n$ are i.i.d with distribution function $F$, then ...
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### Test for difference of variances in populations with different means

I have two samples A and B, both of size 72, drawn from two different populations. I do not know anything about the population, only that they are non normal at all. I want to know the probability ...
420 views

### Why is a bootstrap method helping in some way?

The general methods with bootstrapping is always similar to that: We have a given sample $x_1,...,x_n$. Then we pick some elements of the sample randomly and put it then back to the sample; This ...
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