000 02249cam a22003377i 4500
005 20250925155757.0
008 220401t20222022enka b 001 0 eng d
020 _a0198862520
020 _a9780198862529
020 _a9780198862512
020 _a0198862512
041 _aeng
082 0 4 _a519.2
_bBitR
100 1 _aBittelli, Marco
245 1 0 _aRandom process analysis with R /
_cMarco Bittelli, Roberto Olmi and Rodolfo Rosa
260 _bOxford University Press;
_c©2022
300 _axi, 500p.
520 _aRandom 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.
650 0 _aStochastic processes
_xMathematical models.
650 0 _aStochastic processes
_xData processing.
650 0 _aR (Computer program language)
650 6 _aProcessus stochastiques
_xModèles mathématiques.
650 6 _aProcessus stochastiques
_xInformatique.
650 6 _aR (Langage de programmation)
650 7 _aR (Computer program language)
650 7 _aStochastic processes
_xData processing
650 7 _aStochastic processes
_xMathematical models
700 1 _aOlmi, Roberto
700 1 _aRosa, Rodolfo
942 _cBK
999 _c7109
_d7109