(PDF, 773 Pages, 5MB) Download Best Probability and Statistics Textbook For Post & Undergraduate Students

(PDF, 773 Pages, 5MB) Download Best Probability and Statistics Textbook For Post & Undergraduate Students

The book covers the fundamentals of probability theory with quite a few practical engineering applications, which looks fabulous for engineering college students to connect the theory to the practice. 

Each chapter carries realistic examples that apply probability theory to fundamental statistical inference and naturally connect to the Monte Carlo simulations and graphical illustration of the probability distributions and probability density functions. Students with fundamental calculus and discrete math can effortlessly comply with the development of probabilistic modeling and essential properties of the popularly used probability distributions. 

Only the ergodic Markov chain and random walk appear challenging for the undergraduate college students to comprehend without the formal introduction of stochastic process.

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