A textbook named for these things, which uses data from a gas furnace to illustrate how to model them, was co-written by four authors including Gregory Reinsel and Greta Ljung (“yoong”). The variability of these things can be expressed in terms of the rescaled range, which can be used to estimate their Hurst exponent. According to Granger and Newbold, the levels of these things are often near random walks, which often leads to spurious regressions with low Durbin–Watson statistics. The Box–Jenkins method (10[1])is used to analyze models fitted to data from these things (10[1])called (-5[1])ARMA (“AR-muh”) or (10[1])ARIMA (“uh-REE-muh”) models. (10[7])These sequences can be decomposed (10[1])into irregular, cyclical, trend, (10[1])and seasonal components. (10[2])Run charts are often used to plot these sequences, which are exemplified (10[1])by the daily closing values of a stock (-5[1])market (10[1]-5[1])index. (-5[1])For 10 points, name these sequences of data that are recorded at (10[1])temporal intervals. (10[2])■END■ (10[4]0[1])