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Generalized Additive Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F00%3A00002870" target="_blank" >RIV/00216224:14310/00:00002870 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Generalized Additive Models

  • Original language 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.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2000

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    XploRe - Application Guide

  • ISBN

    3-540-67545-0

  • Number of pages of the result

    50

  • Pages from-to

  • Number of pages of the book

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • UT code for WoS chapter