TRIM 3.61 :  TRend analysis and Indices for Monitoring data 
 STATISTICS NETHERLANDS 

 Date/Time: 4-10-2016 17:40:30

 Title :   skylark-x2

 Comment: Actual year test

 The following  5 variables have been read from file: 
 Z:\Users\patrick\Work\CBS\TRIM\wine\skylark_yr.dat

 1. Site             number of values:    55
 2. Time             number of values:     8
 3. Count            missing =        999
 4. HABITAT          number of values:  2
 5. COV2             number of values:  4

 Number of sites without positive counts (removed)       0

 Number of observed zero counts           0
 Number of observed positive counts     202
 Total number of observed counts        202
 Number of missing counts               238
 Total number of counts                 440

 Total count                         2536.0

 Sites containing more than 10% of the total count 
   Site Number  Observed Total    %   
         3        431.0         17.0
        37        266.0         10.5
        40        624.0         24.6

 Time Point Averages 
   TimePoint  Observations  Average   Index  
    1984              25       8.52    1.00
    1985              20       8.10    0.95
    1986              30      10.90    1.28
    1987              30      11.27    1.32
    1988              28      12.75    1.50
    1989              29      14.66    1.72
    1990              22      17.00    2.00
    1991              18      18.89    2.22

 RESULTS FOR MODEL: Linear Trend
 --------------------------------
  Changes in Slope at Timepoints
   1984  1985 

 ESTIMATION METHOD = Generalised Estimating Equations


  Total time used:  1.07 seconds

  Estimated Overdispersion     =  1.334
  Estimated Serial Correlation =  0.305

 GOODNESS OF FIT
  Chi-square                193.36, df    145, p 0.0045
  Likelihood Ratio          191.81, df    145, p 0.0056
  AIC (up to a constant)    -98.19

 WALD-TEST FOR SIGNIFICANCE OF CHANGES IN SLOPE 
 Changepoint    Wald-Test  df   p  
   1984            11.08    1  0.0009
   1985            14.90    1  0.0001

 PARAMETER ESTIMATES 

 Slope for Time Intervals
 from upto   Additive  std.err.    Multiplicative   std.err.
 1984 1985   -0.3029    0.0910          0.7387       0.0672
 1985 1991    0.0757    0.0157          1.0787       0.0169

 Time INDICES
  Time     Model     std.err.     Imputed    std.err.
  1984     1                       1
  1985     0.7387     0.0672       0.7276     0.0686
  1986     0.7968     0.0687       0.8295     0.0774
  1987     0.8595     0.0723       0.8353     0.0794
  1988     0.9272     0.0787       0.9193     0.0875
  1989     1.0001     0.0885       1.0150     0.0977
  1990     1.0788     0.1020       1.0945     0.1084
  1991     1.1637     0.1195       1.1776     0.1230

 TIME TOTALS
  Time      Model    std.err.     Imputed    std.err.
  1984        513         43          511         43
  1985        379         23          372         25
  1986        409         20          424         24
  1987        441         18          427         24
  1988        476         17          470         25
  1989        513         19          519         27
  1990        553         25          559         30
  1991        597         34          602         36

 OVERALL SLOPE MODEL: Moderate increase (p<0.01) **
  Additive      std.err.   Multiplicative  std.err.
    0.0442       0.0134         1.0452      0.0140

 OVERALL SLOPE IMPUTED+(recommended): Moderate increase (p<0.01) **
  Additive      std.err.   Multiplicative  std.err.
    0.0463       0.0135         1.0474      0.0141