Table 6.

Estimates of the slope parameter (and standard errors [SE]) for the fitting of the logistic model ψ(logit)φ(.), p(2 groups) along with the estimate (and lower and upper 95% confidence limits [CL]) of the average annual change defined to be , where 7 is the number of years sampled. This is the model with the highest Akaike's Information Criteria (AIC) values where a smooth change over time was represented. None of the slopes are significantly different from zero at the 5% significance level. Data are drawn from units sampled for fishers Martes pennanti from 2002 to 2009 in the southern Sierra Nevada mountains of California.

Estimates of the slope parameter (and standard errors [SE]) for the fitting of the logistic model ψ(logit)φ(.), p(2 groups) along with the estimate (and lower and upper 95% confidence limits [CL]) of the average annual change defined to be , where 7 is the number of years sampled. This is the model with the highest Akaike's Information Criteria (AIC) values where a smooth change over time was represented. None of the slopes are significantly different from zero at the 5% significance level. Data are drawn from units sampled for fishers Martes pennanti from 2002 to 2009 in the southern Sierra Nevada mountains of California.
Estimates of the slope parameter (and standard errors [SE]) for the fitting of the logistic model ψ(logit)φ(.), p(2 groups) along with the estimate (and lower and upper 95% confidence limits [CL]) of the average annual change defined to be , where 7 is the number of years sampled. This is the model with the highest Akaike's Information Criteria (AIC) values where a smooth change over time was represented. None of the slopes are significantly different from zero at the 5% significance level. Data are drawn from units sampled for fishers Martes pennanti from 2002 to 2009 in the southern Sierra Nevada mountains of California.
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