Introduction to general linear models

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StatsTree

StatsTree

Күн бұрын

Пікірлер: 17
@carolinacampos7988
@carolinacampos7988 3 жыл бұрын
The explanations in your videos are clear and helpful for those of us that do not find stats intuitive. I am amazed your videos do not have at least 100,000 views.
@iriswang8401
@iriswang8401 3 жыл бұрын
can't agree more!
@simplicityandchaos976
@simplicityandchaos976 2 жыл бұрын
This is the best video I have ever encountered on the internet on Generalized linear models
@riddhimatanwar3533
@riddhimatanwar3533 2 жыл бұрын
THANK YOU SO MUCH!!! THIS HELPED ME A LOT!!!!!!!!! I CAN'T THANK YOU ENOUGH!
@dagemayele1727
@dagemayele1727 2 жыл бұрын
Very helpful videos.... it is surprising the less number of views???? I expect more than 80000 views
@funmilayosaporu7853
@funmilayosaporu7853 7 ай бұрын
Can we have a hard copy. Good lecture
@buildlackey
@buildlackey 8 ай бұрын
great explanation ! now i understand relationship between linear algebra and stats stuff i just (re)learned from brandon foltz / sal khan / statquest. You are in esteemed company. thnx !
@yousefmohammadi5982
@yousefmohammadi5982 Жыл бұрын
Very well explained. Thank you 😊
@copernicus99
@copernicus99 7 ай бұрын
Thanks for this very helpful lecture!
@Tascioni49
@Tascioni49 2 жыл бұрын
Super simple and clear. Thank you.
@rezat.ashtiani1338
@rezat.ashtiani1338 2 жыл бұрын
Thank you so much! You make it so easy
@funmilayosaporu7853
@funmilayosaporu7853 7 ай бұрын
I need a hard copy
@rmttbj
@rmttbj 3 жыл бұрын
Can non-linear regression also fall into General Linear Models? In other words, if linear regression falls into GLM, are there any different categorization for non-linear models? Thank you
@statstree9205
@statstree9205 3 жыл бұрын
A general linear model needs to represent a linear combination of predictors. There are some tricks for dealing with non-linear relationships using linear predictors - for example, including x and x^2 terms, or log(x), which are linear representations of nonlinear relationships. There is a limit to the kind of nonlinearities that these tricks can deal with. Some non-linearities cannot be dealt with in a linear model.
@carolinacampos7988
@carolinacampos7988 3 жыл бұрын
@@statstree9205 What would be the best way to deal with non-linearities once linear models have been discarded?
@statstree9205
@statstree9205 2 жыл бұрын
@@carolinacampos7988 This gets trickier. If you just want to visualize the shape of the relationship then you could use a generalized additive model (GAM) such as a spline or loess fit. In other cases, the nonlinearity follows some other known relationship and a custom model could be created for something like that (e.g. a custom package in R perhaps).
@carolinacampos7988
@carolinacampos7988 2 жыл бұрын
@@statstree9205 Thank you very much! I am now studying GAMs so I can apply them.
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