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

 Date/Time: 3-10-2016 11:54:35

 Title :   skylark-4d

 Comment: Now with serial correlation

 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:  1.21 seconds

  Estimated Serial Correlation =  0.305

 GOODNESS OF FIT
  Chi-square                193.36, df    145, p 0.0000
  Likelihood Ratio          191.81, df    145, p 0.0000
  AIC (up to a constant)    -98.19

 WALD-TEST FOR SIGNIFICANCE OF CHANGES IN SLOPE 
 Changepoint    Wald-Test  df   p  
      1            14.77    1  0.0001
      2            19.87    1  0.0000

 PARAMETER ESTIMATES 

 Slope for Time Intervals
 from upto   Additive  std.err.    Multiplicative   std.err.
    1    2   -0.3029    0.0788          0.7387       0.0582
    2    8    0.0757    0.0136          1.0787       0.0146

 Time INDICES
  Time     Model     std.err.     Imputed    std.err.
     1     1                       1
     2     0.7387     0.0582       0.7567     0.0643
     3     0.7968     0.0595       0.7971     0.0690
     4     0.8595     0.0626       0.8100     0.0707
     5     0.9272     0.0682       0.8038     0.0731
     6     1.0001     0.0766       0.9194     0.0834
     7     1.0788     0.0883       0.9631     0.0889
     8     1.1637     0.1035       0.9939     0.0995

 TIME TOTALS
  Time     Model     std.err.    Imputed     std.err.
     1      1424         119        1536         126
     2      1052          75        1162          87
     3      1134          73        1224          88
     4      1224          72        1244          89
     5      1320          75        1234          94
     6      1424          82        1412         102
     7      1536          95        1479         109
     8      1657         113        1526         125

 OVERALL SLOPE MODEL (with intercept)
  Additive      std.err.   Multiplicative  std.err.
    0.0442       0.0116         1.0452      0.0121

 OVERALL SLOPE IMPUTED (with intercept, recommended)
  Additive      std.err.   Multiplicative  std.err.
    0.0188       0.0129         1.0190      0.0132

 OVERALL SLOPE MODEL (through base time point)
  Additive      std.err.   Multiplicative  std.err.
    0.0000       0.0153         1.0000      0.0153

 OVERALL SLOPE IMPUTED (through base time point)
  Additive      std.err.   Multiplicative  std.err.
   -0.0209       0.0161         0.9793      0.0158