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Applied Regularization Methods for the Social Sciences
Af: Holmes Finch Engelsk Paperback
SPAR
kr 60
Applied Regularization Methods for the Social Sciences
Af: Holmes Finch Engelsk Paperback

Researchers in the social sciences are faced with complex data sets in which they have relatively small samples and many variables (high dimensional data). Unlike the various technical guides currently on the market, Applied Regularization Methods for the Social Sciences provides and overview of a variety of models alongside clear examples of hands-on application. Each chapter in this book covers a specific application of regularization techniques with a user-friendly technical description, followed by examples that provide a thorough demonstration of the methods in action.

Key Features:

  • Description of regularization methods in a user friendly and easy to read manner
  • Inclusion of regularization-based approaches for a variety of statistical analyses commonly used in the social sciences, including both univariate and multivariate models
  • Fully developed extended examples using multiple software packages, including R, SAS, and SPSS
  • Website containing all datasets and software scripts used in the examples
  • Inclusion of both frequentist and Bayesian regularization approaches
  • Application exercises for each chapter that instructors could use in class, and independent researchers could use to practice what they have learned from the book
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Researchers in the social sciences are faced with complex data sets in which they have relatively small samples and many variables (high dimensional data). Unlike the various technical guides currently on the market, Applied Regularization Methods for the Social Sciences provides and overview of a variety of models alongside clear examples of hands-on application. Each chapter in this book covers a specific application of regularization techniques with a user-friendly technical description, followed by examples that provide a thorough demonstration of the methods in action.

Key Features:

  • Description of regularization methods in a user friendly and easy to read manner
  • Inclusion of regularization-based approaches for a variety of statistical analyses commonly used in the social sciences, including both univariate and multivariate models
  • Fully developed extended examples using multiple software packages, including R, SAS, and SPSS
  • Website containing all datasets and software scripts used in the examples
  • Inclusion of both frequentist and Bayesian regularization approaches
  • Application exercises for each chapter that instructors could use in class, and independent researchers could use to practice what they have learned from the book
Forudbestilling - Få besked når varen er på lager!
Produktdetaljer
Sprog: Engelsk
Sider: 297
ISBN-13: 9781032209470
Indbinding: Paperback
Udgave:
ISBN-10: 103220947X
Udg. Dato: 27 maj 2024
Længde: 0mm
Bredde: 234mm
Højde: 156mm
Oplagsdato: 27 maj 2024
Forfatter(e): Holmes Finch
Forfatter(e) Holmes Finch


Kategori Social forskning og statistik


Sprog Engelsk


Indbinding Paperback


Sider 297


Udgave


Længde 0mm


Bredde 234mm


Højde 156mm


Udg. Dato 27 maj 2024


Oplagsdato 27 maj 2024

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