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2 answers
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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 ...
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  • 59
1 vote
1 answer
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 ...
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  • 5,728
3 votes
5 answers
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 ...
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0 votes
0 answers
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 ...
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  • 83
2 votes
1 answer
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 ...
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  • 73
2 votes
0 answers
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 $$ \phi_{R^*}(l) = \frac{\phi(l, N, p)}{P} $$ ...
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  • 235
1 vote
0 answers
30 views
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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 ...
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  • 3,505
1 vote
0 answers
49 views
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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 ...
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1 vote
0 answers
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 ...
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  • 38
1 vote
0 answers
37 views
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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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  • 63
-3 votes
0 answers
101 views
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Alternatives to linear model regression

Let's say I have a univariate linear regression model LMR in which ...
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