Statistical Modelling in Higher Learning - Innocent Mamvura
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Piegāde 12-18 darba dienu laikā
30 dienu atgriešanas politika
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 ... Pilns apraksts
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Aprašymas
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
Vairāk informācijas
| Autors | Innocent Mamvura |
|---|---|
| Izdevējs | LAP LAMBERT Academic Publishing |
| Izlaides gads | 2013 |
| Vāka tips | Mīkstais vāks |
| EAN | 9783659438745 |