Mathematical Statistics with Resampling and R & Probability: With Applicati; Laura M. Chihara, Tim C. Hesterberg, Robert P. Dobrow; 2014

Mathematical Statistics with Resampling and R & Probability: With Applicati Upplaga 1

av Laura M. Chihara, Tim C. Hesterberg, Robert P. Dobrow
An essential resource to simulations to support an understanding of statistics Mathematical Statistics with Resampling and R & Probability with Applications and R Set offers a resource for intermediate and advanced statistics students who want to achieve an in-depth understanding of resampling techniques backed by practical implementation. This text is recommended for anyone with a background in mathematics, probability, and basic statistics who wants to learn about the theory and about resampling and how it relates to traditional methods, and how to implement resampling in R.
An essential resource to simulations to support an understanding of statistics Mathematical Statistics with Resampling and R & Probability with Applications and R Set offers a resource for intermediate and advanced statistics students who want to achieve an in-depth understanding of resampling techniques backed by practical implementation. This text is recommended for anyone with a background in mathematics, probability, and basic statistics who wants to learn about the theory and about resampling and how it relates to traditional methods, and how to implement resampling in R.
Upplaga: 1a upplagan
Utgiven: 2014
ISBN: 9781118947432
Förlag: John Wiley & Sons
Format: Häftad
Språk: Engelska
Sidor: 960 st
An essential resource to simulations to support an understanding of statistics Mathematical Statistics with Resampling and R & Probability with Applications and R Set offers a resource for intermediate and advanced statistics students who want to achieve an in-depth understanding of resampling techniques backed by practical implementation. This text is recommended for anyone with a background in mathematics, probability, and basic statistics who wants to learn about the theory and about resampling and how it relates to traditional methods, and how to implement resampling in R.
An essential resource to simulations to support an understanding of statistics Mathematical Statistics with Resampling and R & Probability with Applications and R Set offers a resource for intermediate and advanced statistics students who want to achieve an in-depth understanding of resampling techniques backed by practical implementation. This text is recommended for anyone with a background in mathematics, probability, and basic statistics who wants to learn about the theory and about resampling and how it relates to traditional methods, and how to implement resampling in R.
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Om Mathematical Statistics with Resampling and R & Probability: With Applicati (2014)

I maj 2014 släpptes boken Mathematical Statistics with Resampling and R & Probability: With Applicati skriven av Laura M. Chihara, Tim C. Hesterberg, Robert P. Dobrow. Det är den 1a upplagan av kursboken. Den är skriven på engelska och består av 960 sidor djupgående information. Förlaget bakom boken är John Wiley & Sons som har sitt säte i Hoboken.

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