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Nonlinear Time Series
| Content Provider | Scilit |
|---|---|
| Author | Gao, Jiti |
| Copyright Year | 2007 |
| Description | Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and statistics communities over the past twenty years. Recent studies show that semiparametric methods and models may be applied to solve dimensionality reduction problems arising from using fully |
| Related Links | https://core.ac.uk/download/pdf/12032910.pdf https://api.taylorfrancis.com/content/books/mono/download?identifierName=doi&identifierValue=10.1201/9781420011210&type=googlepdf |
| DOI | 10.1201/9781420011210 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2007-03-22 |
| Access Restriction | Open |
| Subject Keyword | Statistics and Probability Theoretical Nonlinear Time Models Semiparametric Methods Attention Statistics |
| Content Type | Text |
| Resource Type | Book |