Titlebook: Nonlinear Time Series; Nonparametric and Pa Jianqing Fan,Qiwei Yao Book 2003 Springer-Verlag New York 2003 Time series.econometrics.linear

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ary analysis.In-depth historical contextualizationWhereas the history of demography as a social science has been amply explored, that of the construction of the concept of population has been neglected. Specialists systematically ignore a noteworthy paradox: strictly speaking, the great intellectual

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s denote the subset {.} of . by . also. The cardinality (either finite or infinite) of . is denoted card . and on occasion by |.|if it is finite. The Cartesian product of two sets . and . is denoted .×.. The identity map of . is denoted id.. For subsets . and . of ., . ? . or . ? . denote inclusion,

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Introduction,ct the underlying dynamics from which the observed data are generated and will therefore forecast and possibly control future events. This chapter introduces some examples of time series data and probability models for time series processes. It also gives a brief overview of the fundamental ideas that will be introduced in this book.

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0172-7397 along seemingly unrelated paths. In spite of the fact that the - plication of nonparametric techniques in time series can be traced back to the 1940s at least, there still exists healthy and justi?ed skepticism about the capability of nonparametric methods in time series analysis. As - thusiastic ex

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