I'm just going to be a dick and reserve the right to be quick and blunt with answers.
Not trying to be rude, I swear, but I've had little sleep and may be a little irritable.
Hi everyone
Just wondering if there is a correct notation we should be using for Inverse Normal, as we cannot use invNorm as it is calculator notation. I know that normal distribution is N~(mean, var) but what is it for inverse?
Thanks everyone
Nah, there's nothing. Technically, we only have an inverse normal for the standard normal, so there is really no need for notation (also the fact that the inverse normal is not a distribution, and the notation you've used indicates that N has a distribution)
To memory, there's something in the resources topic that explains how to avoid CAS notation specifically for this. Have you given that a look see?
Hey guys. I have only just finished the first part of probability (Discrete Random Variables) and my teacher has told me that our class will be going onto Markov Chains next, but we will only have to do the first 2 subchapters within it (I'm using the Essentials Textbook) since it isn't a major part of the course?
lolwut.
Do I just go ahead and do what she says or just do everything anyway?
These are the chapters from the textbook if it helps:
16.1 - Using Matrices to represent conditional probability
16.2 - Markov Chains
16.3 - Steady State of a Markov Chain
16.4 - Comparing Run Length for Bernoulli Sequences and Markov Chains
I'd at least be reading 16.3
16.4 you could probably skip rather readily, but you won't even think about steady state unless you see it, and that's arguably the most important part of Markov Chains in general (not just VCE)
Another thing . This means that she is making up skip over Binomial Distributions for a while, which is chapter 15. Does it make a difference if I do 16 before 15? Or do i just disregard my teacher completely?
Nah, that part is legitimately okay. Don't need Binomial for Markov - one assumes independence, the other assumes otherwise. Two different things.