Bittelli, Marco creator Olmi, Roberto Rosa, Rodolfo text bibliography enk Oxford University Press ©2022 2022 2022 monographic eng

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xi, 500p. Random process analysis (RPA) is used as a mathematical model in physics, chemistry, biology, computer science, information theory, economics, environmental science, and many other disciplines. Over time, it has become more and more important for the provision of computer code and data sets. This book presents the key concepts, theory, and computer code written in R, helping readers with limited initial knowledge of random processes to become confident in their understanding and application of these principles in their own research. Consistent with modern trends in university education, the authors make readers active learners with hands-on computer experiments in R code directing them through RPA methods and helping them understand the underlying logic. Each subject is illustrated with real data collected in experiments performed by the authors or taken from key literature. As a result, the reader can promptly apply the analysis to their own data, making this book an invaluable resource for undergraduate and graduate students, as well as professionals, in physics, engineering, biophysical and environmental sciences, economics, and social sciences. Marco Bittelli, Roberto Olmi and Rodolfo Rosa Stochastic processes Mathematical models Stochastic processes Data processing R (Computer program language) Processus stochastiques Modèles mathématiques Processus stochastiques Informatique R (Langage de programmation) R (Computer program language) Stochastic processes Data processing Stochastic processes Mathematical models 519.2 BitR 0198862520 9780198862529 9780198862512 0198862512 220401 20250925155757.0