XploRe® - Application Guide

XploRe® - Application Guide

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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. TOC:Part I. Regression Models: Quantile Regression. Errors in Variable Models. Hazard Regression. Generalized Additive Models. Generalized Partial Linear Models.- Part II. Data Exploration: Human capital accumulation versus human capital stocks as sources of sustained growth. Cluster Analysis. Classification and Regression Trees. DPLS - A Partial-Least Squares Program for Dynamic Models. Uncovered Interest Parity (UIP) - What can we learn from panel data? Correspondance Analysis. Part III. Dynamic Statistical Systems: Long-memory Analysis. Exploring Persistence in Financial Time Series. Flexible Time Series Analysis. Multiple Time Series. Robust Kalman-Filtering.