Sentence examples for the predicted proportion from inspiring English sources

The approach utilizes a multinominal logistic regression technique and provides information on the predicted proportion of defective designs that may occur as a result of workplace and organizational problems.

Both metrics were derived using (i) the observed IPUMSI migration flows from each i to any other j and (ii) the predicted IPUMSI-based migration flows calculated by multiplying the predicted proportion of migrants residing in j in the census year by the IPUMSI-based total number of people residing in j in the census year.

For example, the predicted proportion of subjects diagnosed as hypertensive drops from 50% [44 57] when averaging measurements at times 3 and 5 to 44% [38 50] 2 mn later, down to 33% [27 39] when averaging times 25 and 27 min.

All countries available in the IPUMSI database were used to assess the accuracy of the predicted proportion of migrants in j in the census year that were previously residing in i 5 years prior to the census by comparing them with the corresponding observed values from the IPUMSI migration microdata.

The darker the shade of gray the greater the predicted proportion of sailfish.

We generated predictions based on the global assignment hypothesis for all six objects with each color set using the same procedure described in Experiment 1 and the Additional file 1.7 Figure 11a shows the predicted proportion of times each color should be chosen for each object, within the isolated and balanced color sets.

The difference between the expected and the predicted proportions of B and T cell lines was less precise (average s.d. = 2.4%).

This might have been a drawback of the statistical procedures used (the predicted proportions from the logistic regression model with the events/trials dependent variable were allowed to take values anywhere between 0 and 1, but the outcome proportions could only take five values between 0 and 1).

The observed proportions were then divided by the predicted proportions.

In the model's fourth step, the predicted proportions are compared to the observed proportions.

The reason for conducting the latter analyses is that the resulting values are more sensitive for minor changes in the predicted proportions when one divides the observed proportions by the predicted proportions than when one subtracts the predicted proportions from the observed proportions.