Nonlinear Time Series: Theory, Methods and Applications with R Examples (Chapman & Hall/CRC Texts in Statistical Science)
by Randal Douc, Eric Moulines, David Stoffer
Nonlinear Time Series offers a focused treatment of theory, methods, and applications in nonlinear time series analysis. With examples using R, the book connects statistical ideas to practical computation and serves as a reference for readers studying dynamic data and advanced statistical science.
About This Book
Nonlinear Time Series presents theory and methods for analyzing nonlinear time series.
The book connects statistical concepts with applications and includes examples using R.
It is part of the Chapman & Hall/CRC Texts in Statistical Science series.
Written by Randal Douc, Eric Moulines, and David Stoffer, this volume supports readers exploring advanced time series analysis.
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