The part of sentence "I can estimate" is correct and can be used in written English.
You can use it when you want to express that you are able to make a rough estimate or guess about something. For example, "I can estimate that the cost of the project will be around $2,000."
Thus, if I can determine these parameters for the young sun, I can estimate the properties of solar wind at that time.
Moreover, I can estimate the cyclicality of the net present values of wages in new matches over their job duration, which constitutes a key piece of information for the Mortensen-Pissarides search and matching model.
In the fixed effects framework, I can estimate the effect of intermarriage on intentions to return and remittance behaviour for individuals who marry in one of the years during which they are interviewed.
I know when to yield to other drivers, use the sidewalk for shortcuts, when to stop and when to speed (37 years old)." " I can estimate at what speed cars are approaching the intersections and when they [will] get to the intersection.
In the case of a single extractor i, we can estimate P(t|E i ) as the precision of extractor i on the annotated corpus.
Given the estimated numbers of domain-count changes Δ n c i, and the total number of domain-count changes Δ n i we can estimate the lineage-specific evolutionary potentials ρ c i as follows.
According to Yamazaki's approach, robots can operate furniture when it has following 3 abilities; i) Human can estimate necessary knowledge to operate from environment information.
As shown in Appendix I, we can estimate the lifetime risk by where the i'th interval is from a i, to a i +1, w i =(a i +1− a i ) and All-cause mortality and population data for Scotland for 2001 2005 were obtained from GRO Scotland.
For example, the MS in the i th cell can estimate H D ( i, k ) through downlink signal that comes from the BS in the i th cell.
validated mutation sites (x i, y i ) i =1 N, we can estimate w by minimizing the following negative log posterior The Laplace prior introduces a penalty term to the negative log-likelihood function.
In the matrix T*, each row k corresponds to the vector t* at the time point T k of the vector T T = 0, 1, 2, 4, 6, 8, 12, 16, 2 0, 28, 28, 32 T. As previously mentioned, using the parameters β ^ i 2, we can estimate the parameters β ^ i 1 and β ^ i 3 (see Additional file 2).
