In statistics, signal processing, econometrics and mathematical finance, a time series is a sequence of data points, measured typically at successive times spaced at uniform time intervals. Examples of time series are the daily closing value of the Dow Jones index or the annual flow volume of the Nile River at Aswan. Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to forecast future events based on known past events: to predict data points before they are measured. An example of time series forecasting in econometrics is predicting the opening price of a stock based on its past performance. Time series are very frequently plotted via line charts.
Supplemental catalog subcollection information: NASA Publication Collection; Astrophysics and Technical Documents; Impact results of aerobee 150a launchings at wallops island
Manuscript copy; Thesis -- University of Florida; Vita; Bibliography: leaves 42-44
Description: Title page includes summary
Supplemental catalog subcollection information: NASA Publication Collection; Astrophysics and Technical Documents
Weather forecasting
Supplemental catalog subcollection information: Biodiversity Heritage Library Collection; Marine Biological Laboratory and Woods Hole Oceanographic Institution (MBLWHOI); Medical Library Collection; Historical Literature; 19115; Bibliography: p. 127-128