Find answers to your questions about Cross Validated or help others by answering their Cross Validated questions.
For example, if I am a scientist evaluating 2 methods to determine blood glucose and I want to compare if one is more variable, I would take, say, 6 samples...
Asked on 12/10/2020 by yaynikkiprograms
2 answerI'm running a generalized linear model (GLM) in SAS with a gamma distribution (since my Y response variable is skewed to the right) and a specified square root power link...
Asked on 12/10/2020 by StatBoy_41
0 answerI am currently writing a thesis and have surveyed about 500 people and I am using it as input in a supervised model. Due to some time limitations there was...
Asked on 12/09/2020 by Aite97
0 answerSay I want to estimate the test error. I can either get $N$ batch $B_i$ then take the average of their average error (so the R.V. is the...
Asked on 12/09/2020 by Pinocchio
0 answerI am trying to develop adjustment factors for maximum-likelihood estimates of the auto-regression coefficient in an AR(1) process. By simulation I have discovered that the estimates are positively biased but...
Asked on 12/09/2020 by Andrew Kirk
1 answerFor testing the assumption of normality of residuals for ANOVA, can the residuals from linear regression be used instead of the residuals from GLM?...
Asked on 12/09/2020 by S.Ramagokula krishnan
0 answerI am very new and beginner in the machine learning world, and I would like to ask if someone could simply explain to me how does the scaled conjugate gradient...
Asked on 12/09/2020 by Johanna
0 answerFor B-spline what does $sum_{i=0,n}N_{i,k}(t)=1$ mean? I don't understand what this means cause $N_{i,k}(t)$ are basis functions so what does it mean for them to all sum up...
Asked on 12/09/2020
1 answerThe definition of overfitting is "the production of an analysis that corresponds too closely or exactly to a particular set of data, and may therefore fail to fit additional data...
Asked on 12/09/2020 by Ayberk Yavuz
0 answerI have built the following models:full <- lmer(DV~ A*B + (1|speaker), data, REML=FALSE)A <- lmer(DV~ A+ A:B + (1|speaker), data, REML=FALSE)B <- lmer(DV~ B+ A:B + (1|speaker), data, REML=FALSE)interaction...
Asked on 12/09/2020 by RoroMario
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