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"Contents : Overview and descriptive statistics -- Probability -- Discrete random variables and probability distributions -- Continous random variables and probability distributions -- Joint probability distributions and randoms samples -- Point estimation -- Statistical intervals based on a single sample -- Test of hypotheses based on single sample -- Inferences based on two samples -- The analysis of variance -- Multifactor analysis of variance -- Simple linear regression and correlation -- Nonlinear and multiple regression -- Goodness-of-fit tests and caterogical data analysis"

"The long-awaited revision of Fundamentals of applied probability and random processes 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 tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. "