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Questions tagged [iid]

iid is an acronym for independent and identically distributed. Many statistical methods assume that the data are iid; that is, that each observation comes from the same distribution and is independent of other observations.

6 votes
2 answers
489 views

Given a sample $X_1,\ldots X_n$, how can I test the hypothesis that these are i.i.d. samples from a fixed (unknown) distribution? To add context, assume this is a time series and I want evidence ...
yoyo's user avatar
  • 179
4 votes
1 answer
217 views

In standard machine learning settings with cross-sectional data, it's common to assume that data points are independently and identically distributed (i.i.d.) from some fixed data-generating process (...
spie227's user avatar
  • 242
3 votes
1 answer
170 views

I am working on a project analyzing olive plantation data, where I aim to simulate the relationship between investment costs (Costs), revenues (...
Barbab's user avatar
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0 votes
0 answers
26 views

Definition: Random variables X1, X2, ..., Xn are said to be independent and identically distributed (i.i.d.) if they are independent, and they have the same marginal distributions: FX1(x)=FX2(x)=...=...
Who am I 's user avatar
0 votes
0 answers
36 views

I was working through some econometrics problems, and my professor used the result that the product of iid random variables is iid, but I've seen some posts that this might not always be the case. My ...
rudinable's user avatar
  • 375
0 votes
1 answer
211 views

I would be interested in finding the value of the following expression: $$\mathbb{E}[X_k^2\mid S_N]$$ where $X_k$ are iid random variables with $\mathbb{E}[X_k]=\mu$ and $\operatorname{Var}[X_k]=\...
user3141592's user avatar
0 votes
0 answers
68 views

Take: $X_i , \ i = 1, ... , n $ iid. $\varepsilon_i , \ i = 1, ... ,n$ also iid. $X_i \not \perp \varepsilon_j$ (they are not necessarily independent) Are $X_i \varepsilon_i$ iid ?
Lohey123's user avatar
4 votes
1 answer
530 views

There are numerous material that show the relationship between MLE and cross-entropy. Typically, these are the steps taken to show the relationship for a I.I.D data generating process $D = (X,Y)$: $$ ...
spie227's user avatar
  • 242
13 votes
6 answers
2k views

I've read dozens on post on the subject but I cannot figure this out. From what I've gathered, GLMS don't include an error term in their formulation unlike linear models (LM). I was wondering why (or ...
Boussens-Dumon Grégoire's user avatar
0 votes
0 answers
57 views

Given that all three iid rv’s ($X_1, X_2, X_3$) have CDF $F(x)$, the formula for the CDF $G(y)$ of the largest rv ($Y=X_i$) among the three is: $G(y)=P(X_1 \leq y) \cdot P(X_2 \leq y) \cdot P(X_3 \leq ...
Michelle Zhuang's user avatar
0 votes
0 answers
57 views

The method-of-moment of $\sigma$ for the following pdf is $$ \text{pdf}(x,\sigma) = \frac{x}{\sigma^2}\exp(-\frac{1}{2}\frac{x^2}{\sigma^2}) $$ $$ E[x] = \int_{0}^{\infty}\frac{x^2}{\sigma^2}\exp(-\...
Andre Kirchner's user avatar
1 vote
0 answers
71 views

Generally, can repetitive patterns in sensor readings (e.g. temperature measurements at different locations over time) be seen as some kind of stochastic process? That is, if similar patterns repeat ...
joaocandre's user avatar
1 vote
1 answer
146 views

I was reading about an approach to Survival Analysis called "First Hitting Time Models" (threshold regression): https://www.jstatsoft.org/article/view/v066i08 , Can Survival Models model the ...
Uk rain troll's user avatar
0 votes
1 answer
208 views

Let $X_1,\cdots,X_n$ be (discrete in my case) i.i.d. and bounded between $m$ and $M$. I'm interested in bounding the variance of an unbiased estimator: $$\mathbb{V}\left[\frac1n\sum_{i=1}^nX_i\right]$$...
Tristan Nemoz's user avatar
1 vote
0 answers
93 views

If I have independent and identically distributed random variables $X_1, \dots, X_n$, then are $f(X_1), \dots, f(X_n)$ themselves independent and identically distributed? I think the answer is yes, ...
caitlin's user avatar
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