XploRe - Application Guide

Description

This book offers a detailed application guide to XploRe - the interactive statistical computing environment - with case studies of real data analysis situations. It helps the beginner in statistical data analysis to learn in gradual steps how XploRe works in real life applications. Many examples from practice are discussed and analysed in full length. Great emphasis is put on graphics based understanding of the data interrelations. The case studies include: Survival modelling with Cox's proportional hazard regression.- Vitamine C data analysis with Quantile Regression.- Human capital allocation with smoothing methods.- Cluster analysis of butterfly data.- Money market analysis with Dynamic Partial Least Squares.- Media metrics with correspondance analysis.- Multiple and flexible time series analysis of macro economic data.- As well as other case studies.

First Sentence

The purpose of the classical least squares estimation is to answer the question "How does the conditional expectation of a random variable Y, E(Y\X), depend on some explanatory variables X?" usually under some assumptions about the functional form of E(Y\X), e.g., linearity.

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