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Probability Theory

- An Introduction Using R

Bag om Probability Theory

This book introduces Probability Theory with R software and explains abstract concepts in a simple and easy-to-understand way by combining theory and computation. It discusses conceptual and computational examples in detail, to provide a thorough understanding of basic techniques and develop an enjoyable read for students seeking suitable material for self-study. It illustrates fundamental concepts including fields, sigma-fields, random variables and their expectations, various modes of convergence of a sequence of random variables, laws of large numbers and the central limit theorem. - Computational exercises based on R software are included in each Chapter - Includes a brief introduction to the basic functions of R software for beginners in R and serves as a ready reference. - Includes Numerical computations, simulation studies, and visualizations using R software as easy tools to explain abstract concepts - Provides multiple-choice questions for practice - Incorporates self-explanatory R codes in every chapter This textbook is for advanced students, professionals, and academic researchers of Statistics, Biostatistics, Economics and Mathematics.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781032617978
  • Indbinding:
  • Hardback
  • Udgivet:
  • 6. august 2024
  • Størrelse:
  • 156x234x33 mm.
  • Vægt:
  • 1007 g.
  • 2-3 uger.
  • 20. december 2024
På lager
Forlænget returret til d. 31. januar 2025

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Beskrivelse af Probability Theory

This book introduces Probability Theory with R software and explains abstract concepts in a simple and easy-to-understand way by combining theory and computation. It discusses conceptual and computational examples in detail, to provide a thorough understanding of basic techniques and develop an enjoyable read for students seeking suitable material for self-study. It illustrates fundamental concepts including fields, sigma-fields, random variables and their expectations, various modes of convergence of a sequence of random variables, laws of large numbers and the central limit theorem. - Computational exercises based on R software are included in each Chapter - Includes a brief introduction to the basic functions of R software for beginners in R and serves as a ready reference. - Includes Numerical computations, simulation studies, and visualizations using R software as easy tools to explain abstract concepts - Provides multiple-choice questions for practice - Incorporates self-explanatory R codes in every chapter This textbook is for advanced students, professionals, and academic researchers of Statistics, Biostatistics, Economics and Mathematics.

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