Utvidet returrett til 31. januar 2024

An Introduction to Probability Theory and Its Applications, Volume 2

Om An Introduction to Probability Theory and Its Applications, Volume 2

The classic text for understanding complex statistical probability An Introduction to Probability Theory and Its Applications offers comprehensive explanations to complex statistical problems. Delving deep into densities and distributions while relating critical formulas, processes and approaches, this rigorous text provides a solid grounding in probability with practice problems throughout. Heavy on application without sacrificing theory, the discussion takes the time to explain difficult topics and how to use them. This new second edition includes new material related to the substitution of probabilistic arguments for combinatorial artifices as well as new sections on branching processes, Markov chains, and the DeMoivre-Laplace theorem.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9780471257097
  • Bindende:
  • Paperback
  • Sider:
  • 704
  • Utgitt:
  • 1. januar 1971
  • Utgave:
  • 2
  • Dimensjoner:
  • 152x229x41 mm.
  • Vekt:
  • 1030 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 28. november 2024

Beskrivelse av An Introduction to Probability Theory and Its Applications, Volume 2

The classic text for understanding complex statistical probability An Introduction to Probability Theory and Its Applications offers comprehensive explanations to complex statistical problems. Delving deep into densities and distributions while relating critical formulas, processes and approaches, this rigorous text provides a solid grounding in probability with practice problems throughout. Heavy on application without sacrificing theory, the discussion takes the time to explain difficult topics and how to use them. This new second edition includes new material related to the substitution of probabilistic arguments for combinatorial artifices as well as new sections on branching processes, Markov chains, and the DeMoivre-Laplace theorem.

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