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Questions tagged [heteroscedasticity]

Non-constant variance along some continuum in a random process, or varying between discrete groups

5 votes
2 answers
388 views

I think standard deviation of y is related to size of x. How do I create a model for this / test this?

I have a sample of data $(x_i, y_i)$. I hypothesize that $y_i$ is not dependent on $x_i$, but the standard deviation of $y_i$ depends on $x_i$ More concretely, say I assume $\textrm{Var}(y_i | x_i) = ...
Lost1's user avatar
  • 698
0 votes
1 answer
23 views

What criterion to use to compare multiple correlations of binary variables?

I have $N$ definitions of certain properties of countries (for example, if the country is "democratic", "totalitarian" etc.), and want to test how consistently different people ...
Daigaku no Baku's user avatar
2 votes
0 answers
36 views
+50

Understanding Volatility Clustering: Conditional or Unconditional Variance?

A stylized fact observed in financial time series is volatility clustering. Volatility clustering is commonly described as the fact that large changes in asset prices are followed by large changes, ...
Monolite's user avatar
  • 1,445
0 votes
0 answers
35 views

GLMM for not so gaussian data

I am having an issue with GLMM and hope you could advice me. So basically I have data from microscopy experiment of three independent groups (variable: subfolder) nested within 4 experimental ...
Julius Bogomolovas's user avatar
0 votes
0 answers
9 views

Question on ARCH effect Test

I try to conduct ARCH effect test. I have a time series (Global price of Brent crude oil) which follows AR(3). First of all, I estimate AR(3) model for the Oil price. $$Y_t = \alpha_0 + \alpha_1 Y_{t-...
1190's user avatar
  • 1,140
0 votes
1 answer
47 views

Which analysis instead of linear regression?

I have collected data pertaining to suffering (scale from 0 to 8, higher is worse) and cognitive distortion (0 to 40, higher is worse) for a study with ~ 200 participants. My hypothesis is that there ...
David Capelle's user avatar
0 votes
0 answers
21 views

Unbiased test for homogeneity of means of exponenential samples

Given $K$ independent samples of $Y_{i1},\dots,Y_{in_i} \ \text{i.i.d.} \ \sim Exp(\lambda_i)$ with $i=1,\dots, K$ and $n_i$ the size of the $i$-th sample, is there any statistics with analytically ...
Zipfer Zapfeln's user avatar
2 votes
0 answers
32 views

Assessing heteroscedasticity in residuals vs. fitted values graph [duplicate]

I am running a mixed model regression with 3 levels (schools, groups and students). I applied robust standard errors with the R function ...
Elena García's user avatar
0 votes
0 answers
32 views

Two Way Anova with Heteroscedasticity

I'm trying to run a two way anova test but the homoscedasticity condition is not met. My analysis is not balanced and I have over 3000 observations in my sample. Is it okay to proceed even if the ...
computer_goblin's user avatar
0 votes
0 answers
34 views

Coefficient of determination in a linear regression model with a covaring predictor

Given a model: \begin{align}Y_{i}=Z_{i}*\beta * X_{i} + Z_{i}\tag{Eq. 1}&\end{align} I am interested in a closed formula for the proportion of variance explained by the predictor variable $X$, ...
CafféSospeso's user avatar
2 votes
1 answer
135 views

Assumption in multiple linear regression

The principles of multiple linear regression are widely described, however there are still some aspects I don't truly understand why. Specifically speaking I don't understand why heteroscedasticity ...
Javier Hernando's user avatar
5 votes
1 answer
45 views

Very basic questions about choosing weights for WLS

Hi all – very new to stats and ML here (though with plenty of math experience – I’m not a student looking for homework help, I’m 58, know plenty of math, and am looking to expand my skills).

I ...
Steve Lane's user avatar
1 vote
0 answers
15 views

Does "residualising" out the effect of a covariate on the response variable achieve similar results to including the covariate as a predictor?

Sorry - the question itself is wordy! I am running a Welch ANOVA, but want to account for the effects of a covariate on this Welch ANOVA. I am unaware of any ways that I could conduct a Welch ANCOVA. ...
Cam_stats's user avatar
0 votes
0 answers
13 views

Determining when two slopes are different or not, given heteroskedasticity

My current experiment investigates substrate consumption at two different substrate concentrations. My question concerns whether the slope of consumption is equal. However, I obtain an F-value ...
simon vandenberghe's user avatar
0 votes
0 answers
35 views

Testing for Homoscedasticity - should Levene's and Brown-Forsythe use Welch's t-test/ANOVA?

This question just came up and I haven't seen any literature on the subject. Background: When testing homoscedasticity for, say, a two-sample t-test, the F-test for equal variances is deprecated due ...
Steven Ouellette's user avatar

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