search for: predicitions

I am working on predicitng the scores for a days worth of matches of team sports. I have already collected data for the teams for the season we are concentrating on. I have been fitting poisson models for football games and have worked out what model is best and which predictor variables are most important. We would now like to predict the probability distribution for the scores for each team.

Is there a way (simple or not) to get the marginal prediction from lme (in nlme) and/or lmer (in lme4)? Rick B.

Dear r-help I am trying to fit a logistic regression with a dataset that has some missing values in the categorical response (sjukdom). These are generated 'false' values that I want predicited values for. Looking at the help, I think the correct commands to deal with these missing values are as follows: options(na.action=napredict)

hi wich predicitive dialer are you using and wich one do you recomend? a link to the project/product and a link to a how to will be VERY apreciated. Thanks David -- (\__/) (='.'=)This is Bunny. Copy and paste bunny into your (")_(")signature to help him gain world domination. -------------- next part -------------- An HTML attachment was scrubbed... URL:

Magazine: Pharmaceutical Manufacturing Date: Nov/Dec 2009 Title: What Your ICH Q8 Design Space Needs: A Multivariate Predictive Distribution Author: Peterson, John J. Company: GlaxoSmithKline Pharmaceuticals Summary: Multivariate Predicitive distibution quantifies the level of QA in a design space. "Parametric Bootstrapping" can help simplify early analysis and compliment Bayesian

Hi, > If I understand this correctly, these new apodization functions only > affect compression and that files compressed with these new functions > will still decode correctly with older versions of the FLAC decoder. > > Is that right? Yes, that is correct. These functions are used to window the audiodata, but only for the predictor stage. What these new function enable,

I have a sample of lung capacities from a population measured against height. I need to know the 95% CI of the lung capacity of a person of average height. I have fitted a regression line. How do I get a minimum and maximum values of the 95% CI? My thinking was that this has something to do with covariance, but how? My other thinking was that I could derive the 0.975 (sqrt 0.95) CI for the

Thank you, that is very helpful. And actually I do have a few further questions regarding this: 1. This weight is not the one specified in Subnet, this should be something related to the host, where can I manually configure this? 2. The weight value is ONLY take round trip latency as the measurement, or including CPU power and other factors into consideration? 3. I don't know how this

...ible, and same hops to the destination)? Tinc separately determines the final destination of a packet, and how to route to that final destination. Subnet-weight is used for the former, and path-weight for the latter. > 4. When will 1.1 been released as official version? I'm afraid my past predicitions have been meaningless, so I can't answer this. -- Met vriendelijke groet / with kind regards, Guus Sliepen <guus at tinc-vpn.org> -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type: application/pgp-signature Size: 819 bytes Desc:...

Martijn van Beurden wrote: > Hi, > > > If I understand this correctly, these new apodization functions only > > affect compression and that files compressed with these new functions > > will still decode correctly with older versions of the FLAC decoder. > > > > Is that right? > > Yes, that is correct. These functions are used to window the >

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Hi Niko, Do you mean branch prediction, i.e. __builtin_expect [1]? Many compilers support it, I think clang (LLVM's C/C++ frontend) is among them. - D. [1] http://gcc.gnu.org/onlinedocs/gcc/Other-Builtins.html 2012/10/23 Niko Zarzani <koni10 at hotmail.it>: > Hi all, > Is there any way to tell LLVM some additional information about the > variables in the code in order to

Hi Abbas, Before I try to give you answers, I just want to mention that you should send R related reqests to the R-help list, and not me personally because (i) there's a greater likelihood that it will get answered in a timely manner, and (ii) people who might have a similar problem down the road might benefit from any answer via searching the list archives ... anyway: On Sep 5, 2009, at

Hi all, This patch adds two new apodization functions that I developed. From my own test results (on quite a diverse dataset) they outperform the current best apodizations by 0.05% - 0.1% (depending on the specifics) on compression. Here's a selection of the test results *Apodization functions* ,Compres, Speed partial_tukey(2) tukey(0.5) , 56.50 , 37.2x partial_tukey(3)

Hi I am trying to impute missing values for my data.frame. As I intend to use the complete data for prediction I am currently measuring the success of an imputation method by its resulting classification error in my training data. I have tried several approaches to replace missing values: - mean/median substitution - substitution by a value selected from the observed values of a variable - MLE

Hi all,Is there any way to tell LLVM some additional information about the variables in the code in order to make better optimization?For example, if my function has a certain precondition (such as x>0) then it will be possible to better optimize the code given that information (which the compiler does not know).I am new in this field and I don't know if there are ways to tell the compiler