**Intact Gift Giving Condition book**

It can be used by both students and practitioners in engineering, various sciences, finance, and other related fields. This book introduces students to probability, statistics, and stochastic processes. It provides a clear and intuitive approach to these topics while maintaining mathematical accuracy. The book covers: Basic concepts such as random experiments, probability axioms, conditional probability, and counting methods Single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities Limit theorems and convergence Introduction to Bayesian and classical statistics Random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion Simulation using MATLAB, R, and Python (online chapters) The book contains a large number of solved exercises.