TRIM 3.70 :  TRend analysis and Indices for Monitoring data 
 STATISTICS NETHERLANDS 

 Date/Time: 3-10-2016 11:54:14

 Title :   skylark-4c

 Comment: Now with overdispersion

 The following  6 variables have been read from file: 
 Z:\Users\patrick\Work\CBS\TRIM\wine\skylark_wt.dat

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

 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 
                                              Weighted  Weighted
   TimePoint  Observations  Average   Index   Average   Index  
       1              25       8.52    1.00     30.12    1.00
       2              20       8.10    0.95     27.00    0.90
       3              30      10.90    1.28     24.10    0.80
       4              30      11.27    1.32     23.87    0.79
       5              28      12.75    1.50     23.36    0.78
       6              29      14.66    1.72     36.38    1.21
       7              22      17.00    2.00     31.73    1.05
       8              18      18.89    2.22     35.39    1.17

 RESULTS FOR MODEL: Linear Trend
 --------------------------------
  Changes in Slope at Timepoints
      1     2 

 WEIGHTING = On

 ESTIMATION METHOD = Generalised Estimating Equations


  Total time used:  0.72 seconds

  Estimated Overdispersion     =  1.313

 GOODNESS OF FIT
  Chi-square                190.45, df    145, p 0.0000
  Likelihood Ratio          186.75, df    145, p 0.0000
  AIC (up to a constant)   -103.25

 WALD-TEST FOR SIGNIFICANCE OF CHANGES IN SLOPE 
 Changepoint    Wald-Test  df   p  
      1            10.23    1  0.0014
      2            14.18    1  0.0002

 PARAMETER ESTIMATES 

 Slope for Time Intervals
 from upto   Additive  std.err.    Multiplicative   std.err.
    1    2   -0.3108    0.0972          0.7329       0.0712
    2    8    0.0798    0.0138          1.0831       0.0149

 Time INDICES
  Time     Model     std.err.     Imputed    std.err.
     1     1                       1
     2     0.7329     0.0712       0.7530     0.0827
     3     0.7938     0.0732       0.7947     0.0847
     4     0.8597     0.0766       0.8109     0.0857
     5     0.9311     0.0821       0.8059     0.0874
     6     1.0084     0.0900       0.9241     0.0985
     7     1.0922     0.1010       0.9706     0.1029
     8     1.1829     0.1154       1.0027     0.1127

 TIME TOTALS
  Time     Model     std.err.    Imputed     std.err.
     1      1424         136        1533         146
     2      1044          78        1154          95
     3      1130          77        1218          98
     4      1224          77        1243         101
     5      1326          80        1235         106
     6      1436          88        1417         116
     7      1556         101        1488         122
     8      1685         120        1537         139

 OVERALL SLOPE MODEL (with intercept)
  Additive      std.err.   Multiplicative  std.err.
    0.0472       0.0118         1.0484      0.0123

 OVERALL SLOPE IMPUTED (with intercept, recommended)
  Additive      std.err.   Multiplicative  std.err.
    0.0206       0.0131         1.0209      0.0133

 OVERALL SLOPE MODEL (through base time point)
  Additive      std.err.   Multiplicative  std.err.
    0.0017       0.0179         1.0017      0.0179

 OVERALL SLOPE IMPUTED (through base time point)
  Additive      std.err.   Multiplicative  std.err.
   -0.0199       0.0187         0.9803      0.0183