Sentence examples for errors in life from inspiring English sources

However, most service loads are far from constant amplitude loads, often resulting in large systematic errors in life predictions.

Fig. 3 Boxplots of estimation errors in life expectancy at birth obtained by the combination (7) of the classical and Mitra methods (the combined method, "Comb").

In Table 1, we also show the estimation errors in life expectancy e a at the beginning of the open age interval as a percent of the life expectancy from the corresponding full life table.

(5) Fig. 1 Estimation errors in life expectancy at birth obtained by methods: the classical method ("Clas")., extrapolation based on 20-years-long age base ("Extr")., Horiuchi-Coale method ("H.-C")., and Mitra method ("M").

Contrary to earlier reports by Horiuchi, Coale, and Mitra, we show that the two methods are consistent and useful in drastically reducing the estimation errors in life expectancy as compared to the conventional approaches, i.e., the classical open age interval model and extrapolation of the death rates.

Female populations, open age interval set at 75+ Fig. 2 Estimation errors in life expectancy at birth obtained by methods: the classical method ("Clas")., extrapolation based on 20-years-long age base ("Extr")., Horiuchi-Coale method ("H.-C")., and Mitra method ("M").

The error in life prediction with the present approach also compares favourably with respect to other criteria available in the literature.

Female populations, open age interval 85+ Table 1 Root-mean squared errors (RMSEs) in life expectancy at birth e0, percentage RMSEs in life expectancy in the open age interval e a (by method): by sex, level of life expectancy at birth, and open age interval (a+)       RMSE in e0 by method (years) Percentage RMSE in e a by method (percent) Sex e0 range a Classical Extrapol.

"And I've certainly made a lot of errors in my life, and that's something I'm going to have to live with".

Freud's free-association technique provided him with a tool for studying the meanings of dreams, slips of the tongue, forgetfulness, and other mistakes and errors in everyday life.

This is a clear demonstration that assimilating residual stresses resulting from fabrication processes to superimposed static mean stresses can lead to considerable errors in fatigue life predictions.