Examples of using Estimates in English and their translations into Marathi
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Such estimates can never be timely.
Updated New Zealand health system cost estimates from.
He estimates the losses will be around $300 million this year.
Finally, big data increases our ability to make causal estimates from observational data.
How do your estimates compare with the latest estimate from a probability-based sample?
In fact, these are relatively conservative cost estimates, with actual potential costs much higher.
Apple estimates that the iPhone 7 will deliver, on average, two more hours of battery life than the iPhone 6S.
The first thing for which size is particularlyuseful is moving beyond averages to make estimates for specific subgroups.
But GlaxoSmithKline estimates that 90 percent of the drugs work in only 30 to 50 percent of the people.
Approaches from multiple imputuation(Rubin 2004)might help capture uncertainty in estimates from amplified asking.
Eurostar estimates that traveling from London to Paris by train emits 90% less greenhouse gas emissions than taking the plane.
Further, in Chapter 3, we will learn about how weightingcan enable researchers to make better estimates from non-representative data.
With a sample survey,it is often hard to make estimates about specific geographic regions or for specific demographic groups.
Their estimates were similar to estimates from the Demographic and Health Survey, the gold standard of surveys in developing countries.
In 1936, George Gallup used a more sophisticated form of sampling,and was able to produce more accurate estimates with a much smaller sample.
The most recent estimates suggest that approximately 3.6 million high school and middle school students have used e-cigarettes in the US.
In this chapter, I have created what seemed like abright line between our ability to make causal estimates from experimental and non-experiment data.
It was impossible to validate these estimates because no one had ever produced estimates for such small geographic areas in Rwanda.
At this point, we lack solid theory andempirical experience to know when weighting adjustments to non-probability samples will produce sufficiently accurate estimates.
These dramatically faster and lower cost estimates create new possibilities for researchers, governments, and companies(Blumenstock, Cadamuro, and On 2015).
The presentations focused in the importance of clientsfinding measures of size to validate provider estimates and to encourage improvements in the providers' productivity.
These dramatically faster and lower cost estimates create new possibilities for researchers, governments, and companies(Blumenstock, Cadamuro, and On 2015).
Remember that the ultimate goal was to combine some of the best features of sample surveys and censuses to produce accurate, high-resolution estimates of poverty in developing countries.
Figure 2.1: Estimates of a child's chances of reaching the top 20% of income distribution given parents in the bottom 20%(Chetty et al. 2014).
See Dehejia and Wahba(1999) for an example wherematching methods were able to produce estimates similar to those from a randomized controlled experiment.
These estimates show that for more distinctive items- such as memorabilia- start price has a smaller effect on the probability of a sale and a larger effect on the final sale price.
On the other hand,weighting non-probability samples will only produce unbiased estimates for all traits if the response propensities are the same for everyone in each group.
Putting these two estimates together, Blumenstock and colleagues produced an estimate of the geographic distribution of subscriber wealth at extremely fine spatial granularity.
They then adjusted for the non-representativeness of data using model-based post-stratification andcompared their adjusted estimates with those from the probability-based GSS and Pew surveys.
Estimates show that about 830 women die from pregnancy- or childbirth-related complications around the world every day- the majority of which can be prevented with high-quality care.