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Written with wit and clarity, this book introduces the world of probability in an informal way.;
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Probability theory is a fundamental component of many fields of study. This textbook facilitates a rapid and precise understanding of key;
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Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies;
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What Makes Variables Random: Probability for the Applied Researcher provides an introduction to the foundations of probability that;
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This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics;
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This book intends to highlight how the Theory of Probability supports, not only statistical modeling but how it allows describing different;
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THE COMPLETE COLLECTION NECESSARY FOR A CONCRETE UNDERSTANDING OF PROBABILITY Written in a clear, accessible, and comprehensive manner, the;
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Master Math: Probability is a comprehensive reference guide that explains and clarifies the principles of probability in a simple, easy-to;
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Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical;
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Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical;
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Probability: A Philosophical Introduction introduces and explains the principal concepts and applications of probability. It is intended;
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Probability: A Philosophical Introduction introduces and explains the principal concepts and applications of probability. It is intended;
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, showing that uncertainty could be measured by probability, and that probability obeyed three basic rules that enabled uncertainty to be handled;
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Probability and Statistics is a core subject of study for all branches of Engineering and Technology. The subject matter is divided into;
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This book is written for high school and college students learning about probability for the first time. It will appeal to the reader who;
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For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This;
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With a focus on models and tangible applications of probability from physics, computer science, and other related disciplines, this book;
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An introduction to probability at the undergraduate level Chance and randomness are encountered on a daily basis. Authored by a highly;
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The Little Quick Fix to Understanding Probability breaks it down step by step with crystal clear examples and exercises from one of the;
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of probability to those who will use it in their subsequent courses and careers. The author emphasizes the study of probability distributions that;
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The classic text for understanding complex statistical probability An Introduction to Probability Theory and Its Applications offers;
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This updated classic provides a superior introduction to applied probability and statistics for engineering or science majors. Author;
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An accessible and engaging introduction to the study of probability and statistics Utilizing entertaining real-world examples, A;
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Assuming only calculus and linear algebra, Professor Taylor introduces readers to measure theory and probability, discrete martingales, and;
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This is a book of elementary probability theory that includes a chapter on algorithmic randomness. It rigorously presents definitions and;
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is probably true, what exactly does that mean? Understanding probability is clearly very important, if we are to make good theoretical and practical;
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between frequentist probability and subjective probability. Switching from the frequentist to the subjective approach requires that some;
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