Although the report acknowledges cargo wouldn't be dumped into the sea, it still estimates too much would be a total loss and underestimates the ability of businesses to adjust, said Patrick Anderson, principal of Anderson Economic Group, a business consulting firm that specializes in economic impact studies.
These basal expansion signals could plausibly represent events during the early Middle Pleistocene climatic cycles ≤1 Mya (the time-dependency of rates should not bias estimates too much at this deep level, e.g. [ 24]).
The government now says it was double-counting a tax paid by some electricity consumers and was estimating too much natural gas use by tenants in apartments where utilities are provided by the landlord.
Even the setting seemed like an attempt to promote his image in much of the Arab and Muslim world as too wily, too fast-moving, and, at least by his own estimate, too much favored by God, to be beaten by the "infidels" of America.
Relying on the MCAR assumption, (CC) served as a reference for assessing the consistency of estimates from (AD) or (MI): (AD) estimates departing too much from (CC) estimates were considered unreliable, especially when imputation uncertainty (γ; see below) was high.
Claire Melamed, of the Overseas Development Institute, argues that the World Bank's estimates focus too much on finding neat definitions of poverty, instead of analysing how extreme poverty can be overcome.
In the beginning estimates vary too much and velocity is therefore unstable as well.
Without a large number of training individuals, QTL effects might be estimated with too much error and thus, there will be little advantage of using sequence data [ 14].
With a dataset that is too small, the QTL effects might be estimated with too much error, which reduces the advantage of using sequence data compared to SNP genotypes for genomic prediction [ 14].
This is achieved by specifying an autoregressive prior model which smoothes effects on each time scale, preventing parameter estimates from differing too much from those in adjacent time bands.
Presenting the results in a diagram such as Fig. 1 may be most useful for a stochastic model, where the range in output can easily be demonstrated and point estimates not given too much weight, thus avoiding projection of a false image of certainty in the results.
