Greeting Card Factory 4.0

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Software Type Main
  • Graphics & Multimedia

    • Software Type
  • Graphics/Designing

    • Software Name
  • Greeting Card Factory v.4.


    • Introduction to Modern Bayesian Econometrics

    About two hundred and forty years ago, an English clergyman named Thomas Bayes developed a method to calculate the chances of uncertain events in the light of accumulating evidence. Though his method has extensive applications to the work of economists, it is only recent advances in computing that have made it possible to exploit its full power. In this new and expanding area, Tony Lancasterrsquo; s text provides a comprehensive introduction to the Bayesian way of doing applied economics. Using clear explanations and practical illustrations and problems, the text presents innovative, computer-intensive ways for applied economists to use the Bayesian method. In addition, each chapter includes numerical and graphical examples and demonstrates their solutions using the S programming language and Bugs software. Introduction to Modern Bayesian Econometrics
    Software > Introduction to Modern Bayesian Econometrics

    Survival Data Mining: Modeling Customer Event Histories

    Survival data mining is the adaptation of survival analysis techniques for mining customer databases. Customer history data can be used for building predictive models of time-dependent outcomes such as churn and product upgrade.
    * This book contains business applications, which are not addressed or included in the most popular survival analysis books.
    * The latest version of SAS software (v 9.1) is referenced.
    * Survival data mining is a hot topic, and this book fills a void in an area that has just started to surface.
    * The author is well known in the field and is deemed both talented and exceptional by his peers.
    * This is a SAS co-publication. This books highlights an analytical area in which SAS is strong and provides new, important, and timely application areas for survival analysis. Survival Data Mining: Modeling Customer Event Histories
    Software > Survival Data Mining: Modeling Customer Event Histories

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