🐰 Welcome to MyBunny.TV – Your Gateway to Unlimited Entertainment! 🐰

Enjoy 10,000+ Premium HD Channels, thousands of movies & series, and experience lightning-fast instant activation.
Reliable, stable, and built for the ultimate streaming experience – no hassles, just entertainment!
MyBunny.TV – Cheaper Than Cable • Up to 35% Off Yearly Plans • All NFL, ESPN, PPV Events Included 🐰

🎉 Join the fastest growing IPTV community today and discover why everyone is switching to MyBunny.TV!

🚀 Start Watching Now

Deshmukh S. Probability Theory. An Introduction Using R 2024

Magnet download icon for Deshmukh S. Probability Theory. An Introduction Using R 2024 Download this torrent!

Deshmukh S. Probability Theory. An Introduction Using R 2024

To start this P2P download, you have to install a BitTorrent client like qBittorrent

Category: Other
Total size: 7.42 MB
Added: 7 months ago (2025-03-10 23:38:58)

Share ratio: 4 seeders, 0 leechers
Info Hash: AF4FBCCE9B697FA02011163FE89C5190D7A287A0
Last updated: 8 hours ago (2025-11-08 19:24:54)

Description:

Textbook in PDF format 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