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<P><EM>Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, </EM>uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedure...
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<P><EM>Introduction to Probability Models, Twelfth Edition,</EM> is the latest version of Sheldon Ross's classic bestseller. This trusted book introduces the reader to elementary probability modelling and stochastic processes and shows how probabilit...
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<P><EM>Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, </EM>provides a synthesis of modelbased approaches for analyzing presenceabsence data, allowing for imperfect detection. Beginning from...
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<P><EM>An Introduction to Probability and Statistical Inference, Second Edition,</EM> guides you through probability models and statistical methods and helps you to think critically about various concepts. Written by awardwinning author George Rouss...
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<P>The longawaited revision of <EM>Fundamentals of Applied Probability and Random Processes</EM> expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling ...
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<P><EM>An Introduction to MeasureTheoretic Probability, Second Edition</EM>, employs a classical approach to teaching the basics of measure theoretic probability. This book provides in a concise, yet detailed way, the bulk of the probabilistic tools...
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<P><EM>Introduction to Probability, Second Edition</EM>, discusses probability theory in a mathematically rigorous, yet accessible way. This onesemester basic probability textbook explains important concepts of probability while providing useful exe...
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<P>The 5<SUP>th</SUP> edition of Ross’s <I>Simulation</I> continues to introduce aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and inte...
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<P><EM>Probability and Random Processes, Second Edition</EM> presents pertinent applications to signal processing and communications, two areas of key interest to students and professionals in today's booming communications industry. The book include...
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<P>Serving as the foundation for a onesemester course in stochastic processes for students familiar with elementary probability theory and calculus, <EM>Introduction to Stochastic Modeling, Fourth Edition,</EM> bridges the gap between basic probabil...
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The role of probability in computer science has been growing for years and, in lieu of a tailored textbook, many courses have employed a variety of similar, but not entirely applicable, alternatives. To meet the needs of the computer science graduate...
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<P>Since the publication of the first edition of this classic textbook over thirty years ago, tens of thousands of students have used <EM>A Course in Probability Theory</EM>. New in this edition is an introduction to measure theory that expands the m...
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<EM>Probability and Measure Theory, Second Edition,</EM> is a text for a graduatelevel course in probability that includes essential background topics in analysis. It provides extensive coverage of conditional probability and expectation, strong law...
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