# All Questions

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### What's WRONG with my multiple regression model

I am working on a regression model, more precisely, multiple regression model for predicting one single value. I have a dataset of cars and some technical data. For example, I have the following ...
• 59
1 vote
82 views
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### Statistical Models that "Exploit" Distributional Knowledge of the Predictor Variables

I am trying to see if there any Statistical Models that (better) "Exploit" Distributional Knowledge of the Predictor Variables. For example, I feel that is a common misconception (e.g Where ...
• 5,728
315 views
+100

### Correct Interpretation of Survival Curves

I am interested in learning about how decisions (e.g. prioritization of treatment) can be made in the real world based on Survival Curves (e.g. Kaplan-Meier). To illustrate my example, I simulated a ...
• 5,728
28 views
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### Choosing response and predictors

Information on the Girth (), Height () and Volume () for 31 cherry trees yielded the following correlations : $r_{12}$ = 0.519, $r_{23}$= 0.598 and $r_{13}$= 0.967. If you were asked to setup a ...
• 83
46 views
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### How to interpret threshold value not intersecting with smooth in ordered GAM?

My model consists of an ordered factor with four levels as the response variable and a continuous predictor. mod <- gam(lev ~ s(pred), family = ocat(R = 4)) The ...
• 73
30 views
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### Bounds on the conditional variance of a truncated binomial

I have a binomial variable $R$ drawn from $binom(N, p)$, and I'm interested in the variance of $R$, given $R \ge Q$. The pmf of this variable $R^*$ is $$\phi_{R^*}(l) = \frac{\phi(l, N, p)}{P}$$ ...
• 235
1 vote
30 views
+50

### Why do fixed effects in a logistic regression model differ depending on the presence of a random slope?

If I have two linear regression models, one with a random slope and one without (but otherwise identical), the fixed effects in the two models are identical. My understanding is that this stems from ...
• 3,505
1 vote
49 views
+50

### Why does the fact that I estimated my parameters change the way I should use chi−sqaured test?

Suppose I have a data sample and I want to test whether normal distribution with mean $0$ and variance $1$ fits this data sample. If I understand the chi-squared test correctly, I think that I should ...
1 vote
38 views
+100

### Optimize classification rule in multinomial logistic regression

We know that in the case of logistic regression, a classification threshold p=0.5 is generally not an optimal choice when seeking to optimise sensitivity and specificity. This is generally due to the ...
• 38
1 vote
37 views
+50

### Market Basket Analysis - Interpretation of mirrored association rules

I have performed Market Basket Analysis on sales data, that comes from non-sequential receipts. I've read into the meaning of the different metrics, but there is one thing I don't understand. When ...
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