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

 Date/Time: 4-7-2016 15:08:28

 Title :   skylark-1d

 Comment: Example 1; using linear trend model

 The following  5 variables have been read from file: 
 F:\TRIM\TRIM_manual_demo\skylark.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  
       1              25       8.52    1.00
       2              20       8.10    0.95
       3              30      10.90    1.28
       4              30      11.27    1.32
       5              28      12.75    1.50
       6              29      14.66    1.72
       7              22      17.00    2.00
       8              18      18.89    2.22

 RESULTS FOR MODEL: Linear Trend
 ---------------------------------


 ESTIMATION METHOD = Generalised Estimating Equations


  Total time used:  3.23 seconds

  Estimated Overdispersion     =  1.439
  Estimated Serial Correlation =  0.281

 GOODNESS OF FIT
  Chi-square                210.09, df    146, p 0.0004
  Likelihood Ratio          175.28, df    146, p 0.0495
  AIC (up to a constant)   -116.72

 WALD-TEST FOR SIGNIFICANCE OF SLOPE PARAMETER 
  Wald-Test             11.69, df     1, p  0.0006

 PARAMETER ESTIMATES 

         Additive    std.err.   Multiplicative  std.err.
 Slope    0.0484       0.0142       1.0496      0.0149

 Time INDICES
  Time     Model     std.err.     Imputed    std.err.
     1     1                       1
     2     1.0496     0.0149       0.8948     0.0410
     3     1.1017     0.0312       0.9777     0.0601
     4     1.1563     0.0491       0.9790     0.0678
     5     1.2137     0.0687       1.0698     0.0800
     6     1.2738     0.0902       1.1727     0.0945
     7     1.3370     0.1136       1.2527     0.1094
     8     1.4033     0.1391       1.3226     0.1283

 TIME TOTALS
  Time      Model    std.err.     Imputed    std.err.
     1        404         26          443         28
     2        424         23          396         26
     3        445         19          433         26
     4        468         17          434         26
     5        491         17          474         26
     6        515         20          519         28
     7        541         25          555         30
     8        567         32          586         35

 OVERALL SLOPE MODEL: Moderate increase (p<0.01) **
  Additive      std.err.   Multiplicative  std.err.
    0.0484       0.0142         1.0496      0.0149

 OVERALL SLOPE IMPUTED+(recommended): Moderate increase (p<0.01) **
  Additive      std.err.   Multiplicative  std.err.
    0.0509       0.0139         1.0522      0.0146