GingerAle

Goddamn you ROM! If you leave, the forum’s mean IQ will drop by 30 bloody points.

Just take a bleedin’ break, and visit when you have a mind too. 

Take your boat to Gilligan’s Island; after a few weeks there this place won’t seem so annoying. 

I’m NOT the only one who feels this way!

GA

For the past 5 hours, I have pondered why Rom posted his “goodbye” by editing and replacing a fine teaching post.

I didn’t save a copy, but the post described how to correlate the graphical locations of the asymptotes to an equation.  This was an excellent, wonderful post –not a bloody thing a matter with it. Now it’s gone. Replaced with a “goodbye...”  

This post was chosen deliberately (it wasn’t his latest post).  I know why too...

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This is an AoPS question and you’ve not demonstrated any solution method for your answer.   

Why the opposition to linking to other questions? Did the swill from jollyjellyjojo nauseate you?

According to him, the official answer from AoPS is (1/4).  With a name like jollyjellyjojo how could you go wrong?  

Yes. Well, Mr. BB, I am a chimp for all seasons, including the cold, cold winter.  

BTW, how’s GetSmart doing?  The last I heard from him, he said he will be volunteering himself for a Christmas-time turkey dinner.  Is he going to do that, or are you just going to eat him yourself?

I hope not. He is the only genetically enhanced turkey in the world (that I know of).  

Actually, Tommarvoloriddle, I thought you were transgender....  Sorry! 

My name is Ginger Alexandra, and it annoys me too, when someone thinks I’m a boy. No one ever thinks that when seeing me in person, but on line, even using my name, Ginger, it’s rather common in academic circles (not in social circles). I suppose it’s mainly because of my logical, active-voice, writing style.  I can see that my acerbic commentaries and trolling might compel the perception of a bitch, and sometimes a “boy bitch.”

They didn’t meet your standards either; yet you posted them.

You referred to your own post as a “sad suggestion” then apologized for the “terrible answer” before you actually made the post. Isn’t that like dumping a big pile of raw bullshit on someone’s garden after being asked for blue and red roses?

Here’s a hypothetical:  

Question: I have a garden that has white roses.  Does anyone know where I can get blue and red roses and how to grow them?

Answer (from Tom): I’m not sure what roses are, except that they are plants. I know that fertilizer makes them grow good. And I have some raw bullshit that’s terrible (because it will burn your plants). So here, let me dump it on your garden.

Sorry I had to dump this bullshit on your garden, because I wanted to help, and I know this makes good fertilizer. Some day it will, I hope

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There is nothing to indicate you are sorry; so you can take your attempts at emotional manipulation, along with the excess amounts of bullshit that you seem to have, and dump it in the sewer.  Translation  

GA

When did you ask a question like this? This is master level statistics.  

It will be at least a year or two before you study anything like this. 

I know why the guest knew what they meant.  The guest is Mr. BB, the same one who posted the question. Mr. BB often uses unconventional math terminology and symbols.   

I have to say Mr. BB, that’s an optimal method for improving your answering speed, not forgetting your accuracy.  You are much less likely to fuck up the answers when you cherry pick and post your own questions. Of course, you’d know what your own chicken scratch (and crap) means.

 Even with your cherry-picking,   you still manage to bugger the answers.  

This is also a terrible question.  

how do you compute the model with a minimum residual after fitting probability distributions on a dataset

I can tell by the question that either you are in a master’s level statistic class, or a master’s level science class that requires these skills to complete assignments. My guess is the latter, because in a statistics class, you could ask and receive reasonable answers from your classmates or professor.  

I can also tell by your posted question that you probably should not be in that class. Your posted question indicates a lack of communication skills, short-sighted thinking skills, and just plain laziness.  If you posted this on stack exchange, it would be deleted, but not before you were mocked for being brain-dead. 

The answer to your question is not difficult, but the actual process can be difficult. Start by using known data models that process the type of data you have. If it’s climate data then use climate models; if it’s biomedical data then use biomedical models.  There are plenty of boxed models available for either of these types of data sets.

 After computing the data using several boxed models, select the top (N) models that have the best fit based on Least squares and Chi squared statistics. To minimize the residual, you will need to analyze the residual.  This “residue” is often referred to as “noise” in statistics and it’s composed of measurement errors, rounding errors, or random errors, and it can be false noise because the data falls outside the models measurement process. 

To correct for noise and false noise, use inverse modeling.  This is accomplished by setting one or more data elements for each multidimensional data point to an average, then rerunning the altered data using the same models that generated it. The outputs of this will start indicating from which dimensional parameters the noise is originating or where valid data is not utilized.  After identifying the parameters of interests adjustments are made to accommodate or restrict the processing of the data in the original set. 

Note the complexity of inverse modeling increases well beyond the exponential if your data points (P_x) have large numbers of dimensional parameters in its composite form; if some of the parameters have high dependency on other parameters, then it will increase more. 

Some boxed model programs have Big O notations approximating the time needed for various inverse modeling procedures. It’s not unusual for the time to exceed thousands of hours on fast, highly optimized computers. 

I think you should do it manually. This will give you an appreciation for what the computer is doing.    

GA