Potential sampling bias in long-term forest growth trends reconstructed from tree rings: A case study from the Italian Alps. For. Ecol. Manage. 109: 103-118.Cherubini, P., Dobbertin, M., and Innes, J.L. 1998. Potential sampling bias in long-term forest growth trends reconstructed from ...
We show that with any method of sampling the peak intensity, the choice of a 2- or 3-parameter equation to fit the exponential relaxation decay curves can dramatically affect both the accuracy and precision of the calculated relaxation rates. In general, a 2-parameter fit of relaxation decay ...
There was no significant publication bias in this meta-analysis (p = 0.273). Figure 5 Forest plot of (a) condom use with overall female partners in the last sex act; and (b) reported consistent condom use with overall female partners in last six months. Full size image Consistent condom ...
Recent research on sampling error in telephone surveys is focused on bias resulting from the increased saturation of cell phones and the resultant noncoverage bias (Lee et al, 2010; Link et al, 2007; Brick et al, 2007; Keeter et al, 2007;). However, increases in the number of telephone...
We excluded projects comparing genetic diversity in contemporary samples to that from the original or putative source populations when these were sampled only after (re)introductions, due to the potential for sampling bias. As in the initial evaluation of validity, both evaluators needed to express ...
With perfect exposure information, exposure-enriched sampling schemes enhance power as compared to random selection of subjects irrespective of exposure prevalence but yield bias in estimation of the G–E interaction and marginal E parameters. Exposure MC modifies the relative performance of sampling ...
All too often, data sets are incomplete and the sample represented in the data set does not 3 the population that the AI model is making predictions about — this is known as coverage bias. Some other types of bias related to input data include sampling bias, where data is not collected ...
In fact, these methodological choices are not innocent, and they can be shown to bias analysis towards findings of slow convergence and a random walk. Intuitively, if we suspect that the actual adjustment horizon is of the order of days, then monthly and annual data cannot be expected to ...
The first two are based on the models Heredity Bias in the heritability of preference DA Roff and DJ Fairbairn 406 described by Lande (1981). A female mates with a given male with a probability P(y|x), where y is the male trait (that is, preferred trait) value and x is the female...
Some video techniques are very cost-effective and can help remove some major sources of observer bias in underwater observations, by removing the need for skilled observers in the field and by allowing simultaneous collection of a much wider suite of information in a permanent record that can be...