1. Due Monday June 6: Find a time series data set of at least 100 points from your field and create an ASCII file that TIMESLAB/R can read. Use TIMESLAB/R to read and plot the data (make sure to use the main= option on the plot command to put a good caption on the plot, i.e., a good title for the plot. Use Microsoft WORD or WORKS to create a brief report that 1) describes the data and what you would like to learn from it, and 2) imports the graph into the report.

  2. Due Monday June 13:

    1. Problems C1.17, T1.2, T1.12, T1.14 in the text.

    2. Using power transforms and differencing if necessary, try to stabilize the variance of your data set and remove trends and cycles (these might not be necessary). Then use the wntest function to test it for white noise. Write a report describing your analysis.

    3. Use the ``Time Series/Log Spectra'' applet until you get all the answers correct four times in a row.

  3. Due Thursday June 23:

    1. Problems T2.2, T2.5, T2.7, T2.13 in the text.

  4. Due Thursday July 7:

    1. Problems C2.5 (use the ARCORR function), C2.7 (write an R function), C2.9 (use the R function called arma).

  5. Due Thursday July 14:

    1. Use the ARMA(p,q) tester applet until you get at least 10 correct identifications.

  6. Due Monday July 18:

    1. C3.4, C3.20 (arsp), C3.21 (mapart)

    2. T3.4, T3.6, T3.7 (this is lots of algebra)


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