492.76 MB | 00:21:45 | mp4 | 1280X712 | 16:9
Genre:eLearning |Language:English
Files Included :
04 from-linear-models-to-generalized-linear-models (18.84 MB)
05 the-components-of-a-glm (11.93 MB)
06 the-exponential-family-of-distributions (21.55 MB)
01 introduction-to-binomial-regression (16.06 MB)
02 binomial-regression-parameter-estimation (16.01 MB)
03 interpretation-of-binomial-regression (11.33 MB)
04 binomial-regression-in-r (20.61 MB)
01 poisson-regression-a-new-model-for-count-data (22.61 MB)
02 poisson-regression-parameter-estimation (10.27 MB)
03 interpreting-the-poisson-regression-model (10.61 MB)
04 poisson-regression-on-real-data-in-r (44.07 MB)
01 goodness-of-fit-for-poisson-regression-i (29.91 MB)
02 goodness-of-fit-for-poisson-regression-ii (6.81 MB)
03 overdispersion (24.08 MB)
01 introduction-to-nonparametric-regression-models (17.5 MB)
02 motivating-kernel-estimators (8.7 MB)
03 kernel-estimators (25.22 MB)
04 smoothing-splines (21.35 MB)
05 loess-locally-estimated-scatterplot-smoothing (19.15 MB)
01 kernel-estimation-in-r (12.07 MB)
02 motivating-generalized-additive-models (23.16 MB)
03 generalized-additive-models-in-r (30 MB)
02 inference-with-generalized-additive-models-tests (8.02 MB)
03 generalized-additive-models-in-r-inference-and-interpretation (27.36 MB)
04 generalized-additive-models-a-complete-example-with-real-data (31.58 MB)
05 the-components-of-a-glm (11.93 MB)
06 the-exponential-family-of-distributions (21.55 MB)
01 introduction-to-binomial-regression (16.06 MB)
02 binomial-regression-parameter-estimation (16.01 MB)
03 interpretation-of-binomial-regression (11.33 MB)
04 binomial-regression-in-r (20.61 MB)
01 poisson-regression-a-new-model-for-count-data (22.61 MB)
02 poisson-regression-parameter-estimation (10.27 MB)
03 interpreting-the-poisson-regression-model (10.61 MB)
04 poisson-regression-on-real-data-in-r (44.07 MB)
01 goodness-of-fit-for-poisson-regression-i (29.91 MB)
02 goodness-of-fit-for-poisson-regression-ii (6.81 MB)
03 overdispersion (24.08 MB)
01 introduction-to-nonparametric-regression-models (17.5 MB)
02 motivating-kernel-estimators (8.7 MB)
03 kernel-estimators (25.22 MB)
04 smoothing-splines (21.35 MB)
05 loess-locally-estimated-scatterplot-smoothing (19.15 MB)
01 kernel-estimation-in-r (12.07 MB)
02 motivating-generalized-additive-models (23.16 MB)
03 generalized-additive-models-in-r (30 MB)
02 inference-with-generalized-additive-models-tests (8.02 MB)
03 generalized-additive-models-in-r-inference-and-interpretation (27.36 MB)
04 generalized-additive-models-a-complete-example-with-real-data (31.58 MB)
Screenshot
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!