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Probability Theory

- An Introduction Using R

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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  • Språk:
  • Engelska
  • ISBN:
  • 9781032617978
  • Format:
  • Inbunden
  • Utgiven:
  • 6. augusti 2024
  • Mått:
  • 156x234x33 mm.
  • Vikt:
  • 1007 g.
Leveranstid: 2-4 veckor
Förväntad leverans: 30. december 2024
Förlängd ångerrätt till 31. januari 2025

Beskrivning av 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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