BIOL 335- Final Exam Guide - Comprehensive Notes for the exam ( 257 pages long!)
Document Summary
What is a time series? a collection of observations recorded sequentially in time. What are some applications where "standard" time series data occur: physical sciences (meteorology, hydrology, geophysics, etc. , economics, nance and commerce (marketing, engineering (e. g. , electricity or water consumption) 4: time plot: it is customary to visualize ts by plotting observations against time and joining the dots, ts are inherently discrete, giving an approximation (via interpolation) to a continuous time process due to. Data aggregation over a time interval (e. g. , precipitation) or. Purposes of ts analysis: explanatory: understand the past, predictive: forecast the future, basis for computer simulations e. g. , to assess impact of policies or regulations. Recall the earlier examples of time series data: Daily closing prices of dow jones index x e d n. Main features of ts: serial or temporal dependence. Tendency of observations close in time to be correlated: trend. A long term change in the mean of the series: seasonal e ects.
