# Extract from Distance 7.3 documentation (http://distancesampling.org/)
# The following was copied and pasted from the 2nd table of .chm documentation,
# "MCDS Engine Stats File" page, with the following fixes :
# * Module 1 / Statistic 4 : Added reference to note 1 at the end,
# * Module 2 / Statistic 101...100+N : Changed "of each parameter" to "of each adjustment term parameter".
# * Module 4 : Abudance => Abundance
1 – encounter rate
 1 – number of observations (n)

2 – number of samples (k)

3 – effort (L or K or T)

4 – encounter rate (n/L or n/K or n/T) 1

5 – left truncation distance

6 – right truncation distance (w)
 
2 – detection probability
 1 – total number of parameters (m)

2 – AIC value

3 – chi-square test probability

4 – f(0) or h(0) 1

5 – probability of detection (Pw) 1

6 – effective strip width (ESW) or effective detection radius (EDR) 1

7 – AICc

8 – BIC

9 – Log likelihood

10 – Kolmogorov-Smirnov test probability

11 – Cramér-von Mises (uniform weighting) test probability

12 – Cramér-von Mises (cosine weighting) test probability

13 – key function type 2

14 – adjustment series type 3

15 – number of key function parameters (NKP)

16 – number of adjustment term parameters (NAP)

17 – number of covariate parameters (NCP)

101 … (100+m) – estimated value of each adjustment term parameter 5
 
3 – cluster size
 1 – average cluster size 1

2 – size-bias regression correlation (r)

3 – p-value for correlation significance (r-p)

4 – estimate of expected cluster size corrected for size bias 1
 
4 – density/abundance
 1 – density of clusters (or animal density if non-clustered) 1

2 – density of animals 1

3 – number of animals, if survey area is specified 1

4 – bootstrap density of clusters 1, 4

5 – bootstrap density of animals 1, 4

6 – bootstrap number of animals 1, 4
 

