information criterion

  1. M

    Forward selection of non significant variables

    Hi, In SAS Enterprise Miner, I trained a logistic regression with forward selection and AIC criteria. I grouped rare levels for categorical variables. One of these variables was selected by the algorithm but the coefficients of all categories were statistically not significant (different...
  2. B

    Mass significance – information criterion

    In search for the ’best’ linear regression model with 10 potential predictors I calculated the Schwarz Bayesian Criterion (SBC) for every possible combination of predictors (POWER(2;10) = 1024). Do I have to take these 1024 models into account when adjusting my results for false positives? I...
  3. M

    Comparing linear statistical models

    I have a task in which there are two statistical models and I am asked to choose the better one and argument my decision. The problem is according to some of the data one of them is the better, and according to others - not. Model1 Mean dependent var 51113,21 S.D. dependent var 7289,625...
  4. R

    AIC number of parameter

    Dear all, I am new in this forum. I m facing a problem with my AIC. I m using model selection framework (Akaike’s weights) with various type of "Abundance-occupancy" model. It is a family of model which uses mean abundance of species to predict the probability of occurrence. One of these...