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Simulating Data with SAS (Hardcover edition)
Simulating Data with SAS (Hardcover edition)
Knygos.lt klubas Knygos.lt nariams
91,76 €
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131,09 €
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Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and statistical programmers. This book discusses in detail how to simulate data from common univariate and multivariate distributions, and how to use simulation to evaluate statistical techniques. It also co…
  • Leidėjas:
  • ISBN-10: 1642955957
  • ISBN-13: 9781642955958
  • Formatas: 21.6 x 27.9 x 2.1 cm, kieti viršeliai
  • Kalba: Anglų

Simulating Data with SAS (Hardcover edition) (el. knyga) (skaityta knyga) | knygos.lt

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Aprašymas

Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and statistical programmers.

This book discusses in detail how to simulate data from common univariate and multivariate distributions, and how to use simulation to evaluate statistical techniques. It also covers simulating correlated data, data for regression models, spatial data, and data with given moments. It provides tips and techniques for beginning programmers, and offers libraries of functions for advanced practitioners.

As the first book devoted to simulating data across a range of statistical applications, Simulating Data with SAS is an essential tool for programmers, analysts, researchers, and students who use SAS software.

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  • Autorius: Rick Wicklin
  • Leidėjas:
  • ISBN-10: 1642955957
  • ISBN-13: 9781642955958
  • Formatas: 21.6 x 27.9 x 2.1 cm, kieti viršeliai
  • Kalba: Anglų

Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and statistical programmers.

This book discusses in detail how to simulate data from common univariate and multivariate distributions, and how to use simulation to evaluate statistical techniques. It also covers simulating correlated data, data for regression models, spatial data, and data with given moments. It provides tips and techniques for beginning programmers, and offers libraries of functions for advanced practitioners.

As the first book devoted to simulating data across a range of statistical applications, Simulating Data with SAS is an essential tool for programmers, analysts, researchers, and students who use SAS software.

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