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Note that censored data occur commonly in the field data from reliability tests, so a possible extension of the proposed estimators for the censored data will be investigated in the future.
In order to identify parameters of a chemical reaction, such as rate constants, reaction orders, activation energies, or reaction enthalpies, a new evaluation algorithm that allows a simultaneous evaluation of online measured infrared and calorimetric data will be investigated.
Patterns of missing data will be investigated.
If outliers or influential data are detected, the accuracy of the data will be investigated.
The potential effect of withdrawals from the study and missing data will be investigated.
Time to death data will be investigated using Kaplan Meier curves.
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However, the weak association (p = 0.13) between PDI and case status in our breast cancer data implies possible differential bias due to missing residential data; this will be investigated in a forthcoming epidemiological analysis that uses the present method to predict breast cancer risk.
Data accuracy will be investigated upon discovery of any outliers or influential data points.
Two WiFi scenarios with different data requirements, one UMTS femtocell phone call scenario and one LTE femtocell data scenario, will be investigated.
Techniques to improve upon the coarse sampling of the MR images, such as interpolating between motion data points, will be investigated.
Data missingness will be investigated and if deemed necessary, generally when missingness is not completely at random, a suitable multiple imputation method will be used [ 85- 92].
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