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DATA STATISTICAL ANALYSIS WITH R

CESAR PEREZ LOPEZ

出版	CESAR PEREZ
主題	Computers / Business & Productivity Software / SpreadsheetsMathematics / Probability & Statistics / General
ISBN	10089711629781008971165
URL	http://books.google.com.hk/books?id=oh2_EAAAQBAJ&hl=&source=gbs_api
EBook	SAMPLE

註釋

R is a program focused primarily on statistical data analysis. This book deals with the most important facets of data analysis applied with R, including exploratory data analysis, descriptive statistics, graphs, regression models, generalized linear models, analysis of variance models, dimension reduction techniques, principal components, factor analysis, cluster analysis and other topics of multivariate data analysis decision tree models to predict a categorical target and how to build regression tree models and neural network models to predict a continuous target. Successive chapters present examples that clarify the application of the models in the field of risk. The examples are solved step by step with SAS Enterprise Miner in order to make easier the understanding of the methodologies used. The book begins by introducing the basics of creating a project, manipulating data sources, and navigating through different results windows. Data Mining tools are used to build the main risk models: Decision Tree, Neural Network, and Regression.