Likelihood ratio test-based approach for detecting data entry errors

An apparatus, comprising:

• a memory comprising computer-executable instructions;
• and
• a processor in data communication with the memory and configured to execute the computer-executable instructions and cause the apparatus to perform a method for detecting data entry errors, the method comprising:
• receiving a new value as user input for a data field;
• generating a first histogram-based approximation of a first kernel density estimate generated based on valid data associated with the data field and a second histogram-based approximation of a second kernel density estimate generated based on invalid data associated with the data field;
• determining a first likelihood that the new value is valid, wherein the first likelihood is equal to a first probability density of a first bin of the first histogram-based approximation that includes a log ratio of the new value to a mean value associated with the data field;
• determining a second likelihood that the new value is invalid, wherein the second likelihood is equal to a second probability density of a second bin of the second histogram-based approximation that includes the log ratio of the new value to the mean value associated with the data field;
• computing a likelihood ratio test statistic based on a ratio of the first likelihood that the new value is valid to the second likelihood that the new value is invalid;
• classifying the new value as valid or invalid based on comparing the likelihood ratio test statistic to a likelihood ratio test threshold;
• and
• when the new value is classified as invalid, taking one or more actions to correct the new value.