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  #281  
Old 07-15-2019, 11:22 AM
yerromnitsuj yerromnitsuj is offline
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Finished reading Bahnemann this weekend. Have to say, 1-4 are definitely harder than 5-6 from how he explains it. Never expected to see Riemann-Stieljes or Fourier approximations on actuarial exams..

This paper seems like a re-hash of loss models, with a couple things added in. The source materials really are pretty solid for this exam, probably the best since 5. Just Fischer left then gonna start making a pass through Mahler.
Fisher is good too.
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  #282  
Old 07-18-2019, 11:34 PM
CFF CFF is offline
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F test uses scaled or unscaled deviance on the top??
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  #283  
Old 07-19-2019, 12:23 AM
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F test uses scaled or unscaled deviance on the top??
Unscaled deviances. The errata file clarifies this and is new this sitting.
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  #284  
Old 07-19-2019, 12:35 AM
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Unscaled deviances. The errata file clarifies this and is new this sitting.
Thanks!!
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  #285  
Old 07-19-2019, 02:05 AM
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Fisher is good too.
Just finished it and I agree. It's nice to see more problems on the actual papers too.

I have to say the material is actually pretty interesting. Seems like a lot of theory to master though.
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  #286  
Old 07-19-2019, 10:14 AM
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Started going through past exam problems this week.

I can tell there's going to be lots of notecard flipping to come.
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  #287  
Old 07-19-2019, 11:45 AM
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I started playing around with GLMs in R the other day just to try to apply the concepts in the text and give myself something more concrete to get my understanding a bit deeper than surface level academic. (I'm a complete rookie with R, so don't have any real-life experience with this stuff).
Is anyone aware of any public datasets that would be good for running simple GLMs on? Preferably something where people have posted output I can try to match to. If not, anyone on this forum interested in doing this and comparing notes? I need something tangible/application to help the concepts sink in.
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  #288  
Old 07-20-2019, 12:17 PM
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I started playing around with GLMs in R the other day just to try to apply the concepts in the text and give myself something more concrete to get my understanding a bit deeper than surface level academic. (I'm a complete rookie with R, so don't have any real-life experience with this stuff).
Is anyone aware of any public datasets that would be good for running simple GLMs on? Preferably something where people have posted output I can try to match to. If not, anyone on this forum interested in doing this and comparing notes? I need something tangible/application to help the concepts sink in.
Are you using crystal clear manual? She runs some really easy GLM model in R (like a log link with Poisson error with only two predictors), and include the model output in the manual (e.g. page 46). Maybe you can contact her to grab the source code?
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  #289  
Old 07-20-2019, 02:36 PM
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Are you using crystal clear manual? She runs some really easy GLM model in R (like a log link with Poisson error with only two predictors), and include the model output in the manual (e.g. page 46). Maybe you can contact her to grab the source code?
Thanks. Do you recommend CC? I only have the TIA study guide, but was thinking of getting something additional out of my own pocket
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  #290  
Old 07-20-2019, 03:23 PM
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Thanks. Do you recommend CC? I only have the TIA study guide, but was thinking of getting something additional out of my own pocket
Yes and 100%. Solid summary of the syllabus, the use of color coding, combined with humorous language makes reading her manual an enjoyable experience. I haven't tried her original questions yet, but I remember her questions for exam 9 were super helpful, so I'm expecting the same for this exam.
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