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Statistical Modelling in Higher Learning - Innocent Mamvura

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2013-08-16
40,72 € 62,64 €

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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 ... Visas aprašymas

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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

Daugiau informacijos

Autorius Innocent Mamvura
Leidėjas LAP LAMBERT Academic Publishing
Išleidimo metai 2013
Viršelio tipas Minkšti viršeliai
EAN 9783659438745
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40,72 € 62,64 €