Core Resources on Time Series Analysis for Academic Libraries: A Selected, Annotated Bibliography
Sarah Jeong, Seong‐Tae Kim · 2012
Time Series Analysis is a statistical methodology for analyzing time series data, which are data points measured over time, in order to extract data characteristics and meaningful information.Time Series Analysis is an important subject because time series data are generated in many disciplines, e.g., economics, engineering, health science, meteorology, etc.The objective of this paper is to provide a selected, annotated bibliography of core scholarly resources on time series analysis for librarians, graduate students, faculty, and researchers.Each resource in the bibliography is classified into the following subfield categories: (1) applied or theoretical approach, (2) univariate or multivariate approach, (3) frequency or time domain, (4) frequentist or Bayesian, (5) linear or nonlinear, (6) parametric or nonparametric, (7) software applications and (8) applications to various disciplines.Librarians will be able to use this selected, annotated bibliography for collection development to support teaching and research.