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enter image description here Both the plots show very poor results for lags. Am I missing something in terms of transformation to get proper results?

Darpit
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1 Answers1

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before receipt of your actual recorded data ..

since your series has anomalies ( pulses to be sure ... ) possible seasonal pulses

since your series has possible change in error model variance over time ..

your acf is of little value as it is effected by non-gaussian structure.

correct model identification is done in a robust way.

see I have correlogram ACF and PACF below for a temperature time series. Can I say it is MA(2) from ACF? What about AR? for further comments.

IrishStat
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