Sentences with phrase «types of measurement error»

This type of measurement error is unlikely to bias our estimates because there is no reason to believe it is related to whether a student won the school - choice lottery.

Not exact matches

Error bars are 95 confidence intervals on measurements from regression of transition probability versus number of contacts of a certain type.

Yet by better measurement we can reduce misclassification, and by better balancing the two types of errors and considering carefully the consequences of these errors, we can reduce the harm of misclassification.

While numerous papers have highlighted this imprecision, most studies of instability have not systematically considered the role of measurement error in estimates aside from the type that is caused by sampling error.

The first simulates the true temperatures, the second treats the measurement errors that would arise from this series from three different sources of uncertainty: i) usual auto - regressive (AR)- type short range errors, ii) missing data, iii) the «scale reduction factor».

Moreover, because of the effects of wind speed, evaporation, and precipitation intensity, different types of rain gauge, and observation techniques induce different errors in precipitation measurements.

Pekka, the approximately uniform prior in Y is, according to F&G, a consequence of a) the choice of an OLS regression type, b) the fact that the combined errors in the measurements of forcings and net radiative balance were very much greater than errors in measurements of the surface temperature, and c) the assumption of normal distributions in the errors of the three observables.

The 2 types of data are totally unrelated, and a 20 % uncertainty in the estimate of CO2 change due to Deforestation is unrelated to the error in measurement of CO2 increase in PPM over the years, which is highly accurate based on spectroscopy, and duplicated at many sites over the globe.

By the time big data sets are filtered down to the type of matter that is relevant, sample sizes may be too small and measurements may be exposed to potentially large sampling errors.