menu
{ "item_title" : "Probability Theory", "item_author" : [" Shailaja R. Deshmukh", "Akanksha S. Kashikar "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/03/261/797/1032617977_b.jpg", "price_data" : { "retail_price" : "225.00", "online_price" : "225.00", "our_price" : "225.00", "club_price" : "225.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Probability Theory|Shailaja R. Deshmukh

Probability Theory : An Introduction Using R

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781032617978
  • ISBN-10: 1032617977
  • Publisher: CRC Press
  • Publish Date: August 2024
  • Dimensions: 9.21 x 6.14 x 1.31 inches
  • Shipping Weight: 2.22 pounds
  • Page Count: 596

Related Categories

You May Also Like...

    1

BAM Customer Reviews