Statistical Modelling in Higher Learning - Innocent Mamvura
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Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
Statistical Modelling in Higher Learning:The book explains the factors that predict the time taken to complete degree programmes.The book presents you with a solid understanding on the predictors using classification tree mining and logistic regression analysis.Classification is the process of forming groups from a large set of cases based on their characteristics.The Classification Tree procedure creates a ... Täydellinen kuvaus
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Kuvaus
Statistical Modelling in Higher Learning:The book explains the factors that predict the time taken to complete degree programmes.The book presents you with a solid understanding on the predictors using classification tree mining and logistic regression analysis.Classification is the process of forming groups from a large set of cases based on their characteristics.The Classification Tree procedure creates a Tree-based Classification Model which predicts values of the outcome variable based on values of independent variables.Binary Logistic Regression is a technique used when the outcome variable is a dichotomous variable (has two values). Logistic Regression uses Binomial Probability Theory in which there are only two outcome categories. The technique forms a function using the Maximum Likelihood Method, which maximizes the chances of grouping the observed data into the suitable category given the regression coefficients
Lisätietoja
| Kirjoittaja | Innocent Mamvura |
|---|---|
| Julkaisija | LAP LAMBERT Academic Publishing |
| Julkaisuvuosi | 2013 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783659438745 |