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Results tagged with generalized-linear-model
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user 53544
A generalization of linear regression allowing for nonlinear relationships via a "link function" and for the variance of the response to depend on the predicted value. (Not to be confused with "general linear model" which extends the ordinary linear model to general covariance structure and multivariate response.)
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Applying Generalized Linear model to a data with dependent explanatory variables
I have four explanatory variables and one independent response Y. Three of the explanatory variables (X1, X2, X3) are just measured in the experiments. However, the forth one is computed using a funct …
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How to measure the effect of each covariate in GLM
I have a GLM model with two variables (Z1 and Z2). I have also used some basis functions to estimate these variables. In other words, Z1 is substituted by 10 basis functions and Z2 with 12 basis funct …
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How to set a value to some of the coefficients in glmfit
want to use GLM to model the binary data. I have 3 different covariates, X1, X2 and X3. X1 is estimated with 14 basis functions and X2 and X3 are estimated with 10 basis functions. Hence I have 14+10+ …
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Distribution of the predictors in GLM
I am using a GLM to model my data. The response variable is binary and I have three predictors of which two are continuous variables and one is binary. Would the distribution of predictors be importan …
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Coefficient in GLM, find the important factor
I am using the GLM to model my data. The response variable is binary and there are two predictors, namely, speed (cm/s) and position (cm). First of all I have used the Zernic basis functions to model …
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Which model should be chosen using AICc/BIC and P-value?
I am using GLM for modeling the binary data. For the predictive variables I am using different number of Zernike Basis functions. To test how many Zernike basis functions I need, I am using AICc/BIC t …
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