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

 Date/Time: 3-10-2016 11:52:50

 Title :   skylark-4a

 Comment: Simplest model 2 with weights

 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
 ---------------------------------


 WEIGHTING = On

 ESTIMATION METHOD = Maximum Likelihood


  Total time used:  0.63 seconds

 GOODNESS OF FIT
  Chi-square                210.53, df    146, p 0.0000
  Likelihood Ratio          204.63, df    146, p 0.0000
  AIC (up to a constant)    -87.37

 WALD-TEST FOR SIGNIFICANCE OF SLOPE PARAMETER 
  Wald-Test             27.60, df     1, p  0.0000

 PARAMETER ESTIMATES 

         Additive    std.err.   Multiplicative  std.err.
 Slope    0.0548       0.0104       1.0564      0.0110

 Time INDICES
  Time     Model     std.err.     Imputed    std.err.
     1     1                       1
     2     1.0564     0.0110       0.9195     0.0588
     3     1.1159     0.0233       0.9549     0.0619
     4     1.1788     0.0369       0.9662     0.0653
     5     1.2452     0.0520       0.9518     0.0708
     6     1.3154     0.0686       1.0744     0.0824
     7     1.3895     0.0870       1.1139     0.0887
     8     1.4678     0.1072       1.1316     0.1006

 TIME TOTALS
  Time     Model     std.err.    Imputed     std.err.
     1      1116          73        1344          88
     2      1179          70        1236          87
     3      1246          69        1284          89
     4      1316          70        1299          92
     5      1390          74        1280          96
     6      1469          81        1444         104
     7      1551          91        1498         108
     8      1639         105        1521         121

 OVERALL SLOPE MODEL (with intercept)
  Additive      std.err.   Multiplicative  std.err.
    0.0548       0.0104         1.0564      0.0110

 OVERALL SLOPE IMPUTED (with intercept, recommended)
  Additive      std.err.   Multiplicative  std.err.
    0.0257       0.0113         1.0261      0.0116

 OVERALL SLOPE MODEL (through base time point)
  Additive      std.err.   Multiplicative  std.err.
    0.0548       0.0104         1.0564      0.0110

 OVERALL SLOPE IMPUTED (through base time point)
  Additive      std.err.   Multiplicative  std.err.
    0.0100       0.0126         1.0100      0.0127