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Providing a practical introduction to state space methods as
applied to unobserved components time series models, also known as
structural time series models, this book introduces time series
analysis using state space methodology to readers who are neither
familiar with time series analysis, nor with state space methods.
The only background required in order to understand the material
presented in the book is a basic knowledge of classical linear
regression models, of which brief review is provided to refresh the
reader's knowledge. Also, a few sections assume familiarity with
matrix algebra, however, these sections may be skipped without
losing the flow of the exposition.
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