By Douglas M. Patterson,Richard A. Ashley
Workshop offers the reader with either the statistical historical past and the software program instruments worthy for detecting nonlinear habit in time sequence info. the main priceless latest detection suggestions are defined, including
Engle's LaGrange Multiplier try out for conditional hetero-skedasticity and checks in accordance with the correlation size and at the expected bispectrum. those options are illustrated utilizing real info from fields such as
economics, finance, engineering, and geophysics.
Read or Download A Nonlinear Time Series Workshop: A Toolkit for Detecting and Identifying Nonlinear Serial Dependence (Dynamic Modeling and Econometrics in Economics and Finance) PDF
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Extra resources for A Nonlinear Time Series Workshop: A Toolkit for Detecting and Identifying Nonlinear Serial Dependence (Dynamic Modeling and Econometrics in Economics and Finance)
A Nonlinear Time Series Workshop: A Toolkit for Detecting and Identifying Nonlinear Serial Dependence (Dynamic Modeling and Econometrics in Economics and Finance) by Douglas M. Patterson,Richard A. Ashley