• Aucun résultat trouvé

Annual indices are expressed on a linear scale and represent the average of the predicted number

N/A
N/A
Protected

Academic year: 2022

Partager "Annual indices are expressed on a linear scale and represent the average of the predicted number"

Copied!
7
0
0

Texte intégral

(1)

Appendix 2

Twenty-year trends of costal waterbirds residing in the Salish Sea, British Columbia, Canada. The black dots on the graph are estimated indices of annual population size as calculated by the statistical model, with error bars representing the 95% credible intervals for the annual indices.

Annual indices are expressed on a linear scale and represent the average of the predicted number of individual birds detected per day of survey. The black line is a smoothed visualization of the change in annual indices over time. The title of the plot contains the estimated linear trend value expressed as annual percent change per year of mean total count. The lower and upper limits of the 95% credible interval (CI) of the trends are shown in parentheses along with the posterior

probability of the trend: a value greater than or equal to 0.95 provides additional support for the observed trend.

(2)

Appendix 2

(3)

Appendix 2

(4)

Appendix 2

(5)

Appendix 2

(6)

Appendix 2

(7)

Appendix 2

Références

Documents relatifs

In other words, the joint distribution of the number of non-initial contacts (of the lower path) and the initial rise (of the upper path) is symmetric.. For any ring A, we denote

Adult males are in light blue, adult females in dark blue, young males in yellow, and young females in green.. Numbers in each graph represent the week within

Especially it is proved that if the push-out space has a component with index 1; then the Euler number of M is 0 and if the immersion has a co-dimension 2, then the number

In this paper, we investigate the gap between the final true functional size of a piece of software at project closure and the functional size estimated much earlier

To increase the accuracy of the mathematical model of the artificial neural network, to approximate the average height and average diameter of the stands, it is necessary to

collect information from the instructors about RQ3a (What are the instructors’ goals regarding measurement and uncertainty teaching?) and RQ3b (How do instructors

3 Abilities of Single Agents: Imperfect Recall Model checking agents with imperfect information is signif- icantly harder than ones with perfect information.. But what if the

In the second section, we prove asymptotic normality and efficiency when we consider a simple functional linear regression model.. These two properties are generalized in the