Understanding xtTime.t and Data Analysis Techniques

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Explore slides on various data analysis techniques, including autoregressive models, time series visualization, and statistical analysis. Learn about xtTime.t, AR models, data transformation, and more for comprehensive data analysis insights.


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  1. xt Time t

  2. ?? ?? ? ?0 ?1 ? ? (?? ??)2= (?? ?0 ?1?? 1)2 ?=1 ?=1

  3. 73, 67, 83, 53, 78, 88, 57, 1, 29, 14, 80, 77, 19, 14, 41, 55, 74, 98, 84, 88, 78, 15, 66, 99, 80, 75, 124, 103, 57, 49, 70, 112, 107, 123, 79, 92, 89, 116, 71, 68, 59, 84, 39, 33, 71, 83, 77, 37, 27, 30.

  4. SSE = 32995.57

  5. ? ? ? ?(?,?) ?? ?? ?,? ??+1??+2 ??

  6. xt xt-k k t

  7. xt

  8. xt xt-1 et vs. 1. et t 140 120 100 xt 80 60 40 20 xt-1 0 20 40 60 80 100 120 140 0

  9. 80 80 60 60 40 40 et e 20 20 0 0 0 0 20 40 60 80 100 120 -3 -2 -1 1 2 3 -20 -20 z -40 -40 80 -60 -60 60 -80 -80 40 et 20 t 0 10 20 30 40 50 0 -20 -40 -60 -80

  10. xt ? AR(2): AR(3):

  11. ??(?) ?

  12. ?? a0a1 a2

  13. t=3 n. n-2

  14. {xt-1, ...,xt-p} xt xt

  15. xt-k = xt k ? k t

  16. ?(0,1/?) ? 1 ? ? ? z1 ? ? ? ? z1 ? ? ? z1 ? 2 , ? + ? z1 ? ? 2

  17. ?2 k 0

  18. ? ? 0 0 t f

  19. 80 60 e 40 = 43702.08 20 0 0 -3 -2 -1 1 2 3 -20 z -40 -60 -80

  20. t xt-a0

  21. q ?q

  22. a0 b1 a0 b1 a0 b1

  23. a0 = 67.72, b1=0.4 e0=0, = 33542.65 a0 b1

  24. b1=0.4, 0.5, 0.6

  25. (k>1) 0 . k< q

  26. q=8 Autocorrelation rk 0 Lag k rk

  27. k p p ap: p ap p p p=8 rk PACF(k) 0 Lag k k

  28. a0 (1-B)xt =xt-xt-1 1 I(1). x. (1-B)xt (1-B)xt . xt xt t t

  29. I(2) xt t

  30. ARMA(p, q) ARIMA(p,d,q)

  31. I(12): 1 ?12??= ?0+ ??

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