## Parametric test for testing if two sets of samples came from the same normal distribution with unknown parameter?

Is there a parametric test to see if two sets of samples came from the same normal distribution with unknown parameter? Suppose I have one set of samples $X_1, X_2, \dots, X_m$ and another set of samples $Y_1, Y_2, \dots, Y_n$. Do we know a test to check if both of these were drawn from … Read more

## Finding predictors of upper level of a variable

I am analyzing data on a health variable and its relation to age, gender, height etc. I am more interested in 90th percentile of the health variable, which can be called upper limit of ‘normal’. How will this analysis be different from regular analysis where one is trying to find out factors predicting the value … Read more

## What test should I use with a dichotomous dependent variable and a continuous independent variable for agreement analysis?

I’m conducting a study in which I’m testing interrater agreement on a new radiologic technique to the pathological evaluation (gold standard). I’ve got 58 patients and 15 raters. Raters have been asked to evaluate the degree of cancer invasion (‘Deep’ vs. ‘Superficial’) and have also reported how certain they are in their assessment, using a … Read more

## Not able to understand KL decomposition

The bias-variance decomposition usually applies to regression data. We would like to obtain similar decomposition for classification, when the prediction is given as a probability distribution over C classes. Let P=[P1,…,PC] be the ground truth class distribution associated to a particular input pattern. Assume the random estimator of class probabilities ˉP=[ˉP1,…,ˉPC] for the same input … Read more

## Conditional Gaussian Distribution

I am trying to study this paper on Linear Gaussian Models. I’m a little stuck on the following result for finding the conditional of a Gaussian: In the paper it states this is done ‘simply by linear matrix projection’, could anyone possibly provide me with a starting point or some hints so I can try … Read more

## Distribution of $\frac{X_{1}}{X_{1}^{2}+X_{2}^{2}}$, where $(X_1,X_2)$ is bivariate normal?

What is the distribution of $\frac{X_{1}}{X_{1}^{2}+X_{2}^{2}}$ when $(X_1,X_2)$ has a bivariate normal distribution? Answer AttributionSource : Link , Question Author : Jingjings , Answer Author : Community

## For y=x+ϵy=x+\epsilon, how can we obtain the SD of xx when y>ty\gt t

Given that x∼N(0,σ2=h2)ϵ∼N(0,σ2=(1−h2))y=x+ϵ Then y is essentially a bivariate normal distribution with ∑=(0000) (thank you whuber) If we select the top t% of y as cases, then we can obtain the mean and variance of y for case and control as follow liability.info <- function(t){ require(truncnorm) case.mean <- dnorm(qnorm(t))/t case.var <- vtruncnorm(a=qnorm(t, lower.tail=F), b=Inf, mean=0, … Read more

## Subsample to follow a normal distribution

I have a problem, that sounds very simple in theory but I fail to implement a good solution. Let my data be a sample of a continuous variable that that follows a normal distribution (m1,v1), associated with some other variables for each point. I want to get a subsample of this data where this variable … Read more

## Large deviations results for cosine of two samples from Normal?

I’m looking for large-deviations style results for cosine of two independent samples drawn from N(0,Σ) . IE, q=⟨X,Y⟩‖ More specifically, are there any interesting bounds on the probability of this value being large in terms of properties of \mathcal \Sigma ? Intuitively it seems this value should be small when \Sigma has small condition number. … Read more

## How do I test for modelling error in the second data set? [closed]

Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 5 years ago. Improve this question I have one set of experimental data set contains 669 samples and it describes laminar … Read more