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This can be done including local Annual Flood Series data in the estimation of the derived distribution, so gathering the greatest available information.
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The product from the MaxEnt estimator includes both the mean aboveground carbon (AGC) density for each 1-ha pixel and the estimation of the error derived from a Bayesian probability estimator for each pixel.
Here, we reevaluate the >15,700 casualties (8500 in Nepal and 7200 in India) from the M w ~8.2, 1934, Bihar Nepal earthquake and calculate the fatality rates for this earthquake using an estimation of the population derived from two census held in 1921 and 1942.
The performance of the proposed low-complexity channel estimation method and the superiority of the derived optimal training scheme are verified through simulation results.
The performance of the proposed LMMSE channel estimation method and the superiority of the derived optimal training scheme in the multiple AF-relays-assisted cooperative communication scenario are evaluated by computer simulations.
The estimation of costs derived from the application of standard conversion factors to the financial costs (whose calculation has been developed as part of previous research).
This was done because most algorithms treat polymorphic terminal taxa as uncertainties rather than entities possessing both states (e.g., due to infra-specific polymorphism or sexual dimorphism), hence causing a possible under-estimation of the number of origins of the derived states.
The performance of the derived SAGE parametric estimation algorithm developed is investigated in two-path scenarios.
Patient compliance, however, is already incorporated in the estimation of transition probabilities derived from the SHCS.
Equations for the estimation of the equipment cost derived from a recent publication by the US National Renewable Energy Laboratory (NREL) are also summarized.
Furthermore, a better estimation of the goodness is derived from comparing the calculated χ2 value and the Chi-square distribution, that is the distribution of all the possible χ2 values for data with normally distributed errors (parameterized by the degrees of freedom M), P χ 2 ; M d χ 2 = 2 - M 2 Γ M 2 e - 1 2 χ 2 χ 2 M 2 - 1 d χ 2, (17).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com