Focuses on the various semiparametric methods in model estimation, specification testing, and selection of time series data. This book examines semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data.
In the last ten years, there has been increasing interest and activity in the general area of partially linear regression smoothing in statistics.
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