A COMPLETE GUIDE TO THE THEORY AND PRACTICAL APPLICATIONS OF PROBABILITY THEORY AN INTRODUCTION TO PROBABILITY THEORY AND ITS APPLICATIONS UNIQUELY BLENDS A COMPREHENSIVE OVERVIEW OF PROBABILITY THEORY WITH THE REAL–WORLD APPLICATION OF THAT THEORY. BEGINNING WITH THE BACKGROUND AND VERY NATURE OF PROBABILITY THEORY, THE BOOK THEN PROCEEDS THROUGH SAMPLE SPACES, COMBINATORIAL ANALYSIS, FLUCTUATIONS IN COIN TOSSING AND RANDOM WALKS, THE COMBINATION OF EVENTS, TYPES OF DISTRIBUTIONS, MARKOV CHAINS, STOCHASTIC PROCESSES, AND MORE. THE BOOK'S COMPREHENSIVE APPROACH PROVIDES A COMPLETE VIEW OF THEORY ALONG WITH ENLIGHTENING EXAMPLES ALONG THE WAY.

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Major changes in this edition include the substitution of probabilistic arguments for combinatorial artifices, and the addition of new sections on branching processes, Markov chains, and the De Moivre-Laplace theorem.

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