منابع مشابه
Dealing with Missing Data
Rough sets methodology is a useful tool for analysis of decision problems concerning a set of objects described in a data table by a set of condition attributes and by a set of decision attributes. In practical applications, however, the data table is often not complete because some data are missing. To deal with this case, we propose an extension of the rough set methodology to the analysis of...
متن کاملDealing with Missing Values in Data
Many existing industrial and research data sets contain missing values due to various reasons, such as manual data entry procedures, equipment errors and incorrect measurements. Problems associated with missing values are loss of efficiency, complications in handling and analyzing the data and bias resulting from differences between missing and complete data. The important factor for selection ...
متن کاملDealing with Missing or Incomplete Data
I n almost any research you perform, there is the potential for missing or incomplete data. Missing data can occur for many reasons: participants can fail to respond to questions (legitimately or illegitimately—more on that later), equipment and data collecting or recording mechanisms can malfunction , subjects can withdraw from studies before they are completed, and data entry errors can occur...
متن کاملDealing with Missing Software Project Data
Whilst there is a general consensus that quantitative approaches are an important adjunct to successful software project management there has been relatively little research into many of the obstacles to data collection and analysis in the real world. One feature that characterises many of the data sets we deal with is missing or highly questionable values. Naturally this problem is not unique ...
متن کاملMultiple imputation: dealing with missing data.
In many fields, including the field of nephrology, missing data are unfortunately an unavoidable problem in clinical/epidemiological research. The most common methods for dealing with missing data are complete case analysis-excluding patients with missing data--mean substitution--replacing missing values of a variable with the average of known values for that variable-and last observation carri...
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ژورنال
عنوان ژورنال: PM&R
سال: 2015
ISSN: 1934-1482
DOI: 10.1016/j.pmrj.2015.07.011