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Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications is a comprehensive undergraduate-level;
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text for electrical and computer engineers. This book is a comprehensive treatment of probability and random processes that, more than any;
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This is the standard textbook for courses on probability and statistics, not substantially updated. While helping students to develop their;
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student exercises and practical applications for engineers to understand probability concepts. It covers discrete-time random processes and;
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Probability and Random Processes for Engineers is a textbook for courses related to probability and random processes for engineering;
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The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the;
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This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners;
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With updates and enhancements to the incredibly successful first edition, Probability and Random Processes for Electrical and Computer;
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on the Axioms Probability Laws II: Results of Conditioning Random Variables and Stochastic Processes Discrete Random Variables and;
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An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This;
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systems and useful signal processing algorithms. Random Processes: Filtering, Estimation, and Detection clearly explains the basics of probability;
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is focused on asymptotic methods in geometric probability including weak and strong limit theorems for random spatial structures (point processes;
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An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This;
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book however, both this case AND the case of dependent variables, i.e. statistics for discrete and continuous time processes, are studied. This;
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presentation, Probability, Statistics, and Stochastic Processes, Second Edition is an excellent book for courses on probability and statistics at the;
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Probability and Statistics for Science and Engineering with Examples in R teaches students how to use R software to obtain summary;
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. Level Sets and Extrema of Random Processes and Fields is an excellent book for courses on probability theory, spatial statistics, Gaussian;
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Intuitive Probability and Random Processes using MATLAB (R) is an introduction to probability and random processes that merges theory with;
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Intuitive Probability and Random Processes using MATLAB (R) is an introduction to probability and random processes that merges theory with;
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The theory of probability is a powerful tool that helps electrical and computer engineers to explain, model, analyze, and design the;
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Probability, Random Variables, and Random Processes is a comprehensive textbook on probability theory for engineers that provides a more;
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Conditional probability and independence One-dimensional random variables Functions of random variables Bi-dimensional random variables;
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in their field, which involves Probability Distributions of a Single Random Variable. It also aims to provide a sound basis for students;
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Now in a paperback edition for the first time, this second edition of Some Random Series of Functions covers random series in Banach and;
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engineering and the social and life sciences. This updated second edition includes advanced material on stochastic processes, and is suitable for;
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, Biomedical Engineering and Information Technology, this book provides the fundamental concepts and applications of probability and random processes;
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With new material on theory and applications of probability, Probability and Random Processes, Second Edition is a thorough and comprehensive;
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