Iš viso: 113,29 €
A First Course in Bayesian Statistical Methods
A First Course in Bayesian Statistical Methods
Kaina internetu: 113,29 €
  • Išsiųsime per 14–18 d.d.
A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material.Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
113.29
SKAITYTAKNYGA
  • Autorius: Peter D. Hoff
  • Leidėjas:
  • Metai: 200906
  • ISBN-10: 0387922997
  • ISBN-13: 9780387922997
  • Formatas: 15.6 x 24.1 x 2.5 cm, kieti viršeliai
  • Kalba: Anglų

A First Course in Bayesian Statistical Methods + nemokamas atvežimas! | knygos.lt

Atsiliepimai

(4.02 Goodreads įvertinimas)

Formatai:

113,29 € Nauja knyga
kieti viršeliai

Aprašymas

A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material.

Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.

The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
  • Kaina internetu: 113,29 €
Prisijunkite ir už šią prekę
gausite 1,13 Knygų Eurų!?
  • Išsiųsime per 14–18 d.d.

Formatai:

113,29 € Nauja knyga
kieti viršeliai

A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material.

Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.

The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.

Atsiliepimai

  • Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%