Closed ladychili closed 5 years ago
@ladychili Could you please provide the source code of the post? Also, did you enabled the mathjax plugin?
@ppoffice Sure, mathjax is enabled in both _config.yml and the post, as you can see other formulas are showing properly in the picture except inline code.
The source code is a bit long, here is the yaml head and the corresponding part of the picture.
---
title: MT5761 Statistics Modeling - Revision Note
date: 2018-12-11 15:50:38
category: Note
mathjax: true
tags:
- statistics
- modeling
- university
- exam
---
#### (e) Explain Deviance [4]
[1] Deviance provides a measure of discrepancy between fitted model and Saturated model. The smaller the D, the better the model.
$$
D = 2[l(\hat\beta_{sat},\phi) - l(\hat\beta,\phi)]
$$
[1] If model correct, $D \sim \chi^2_{n-p-1}$, n observations, p predictors
A $\chi^2$ test ($H_0$ model is correct) will give a large p-value for a good fitting.
[1] $\chi^2$ approximation of D often poor for Binomial GLMs
[1] Computing $D$ involves $\phi$, so if it's unknown we can't use the result.
#### (f) adjustment to raw residuals and why [2]
[1] Adjustment.
$$
\text{Pearson residuals} = \frac{\text{raw residual}}{\hat{\text{SD}}}=\frac{y-\hat{y}}{\sqrt{\text{Var}(y)}}
$$
[1] Why. We'd like to see no patterns in Pearson residuals if Mean-Var relationship is appropriate.
The same code works fine with NexT theme.
Failed to render inline LaTeX code.