By Thomas N. Herzog
This booklet is helping practitioners achieve a deeper realizing, at an utilized point, of the problems curious about bettering facts caliber via enhancing, imputation, and list linkage. the 1st a part of the ebook bargains with equipment and versions. the following, we specialize in the Fellegi-Holt edit-imputation version, the Little-Rubin multiple-imputation scheme, and the Fellegi-Sunter checklist linkage version. short examples are integrated to teach how those thoughts work.
In the second one a part of the e-book, the authors current real-world case reviews within which a number of of those suggestions are used. They disguise a large choice of program parts. those contain personal loan warrantly coverage, clinical, biomedical, street defense, and social coverage in addition to the development of checklist frames and administrative lists.
Readers will locate this e-book a mix of functional suggestion, mathematical rigor, administration perception and philosophy. The lengthy checklist of references on the finish of the booklet allows readers to delve extra deeply into the topics mentioned the following. The authors additionally speak about the software program that has been constructed to use the ideas defined in our text.
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Extra resources for Data Quality and Record Linkage Techniques
As a possible first step, the potential users may simply make a list of requirements for the data and associated system. This list is created to help ensure that the system designers will meet the needs of potential users. The final list may evolve into a requirements document that provides an overview of the system design. 1 FNMA = Federal National Mortgage Association and FHLMC = Federal Home Loan Mortgage corporation. 3. A Dictionary of Tests 39 The requirements document lists some (or most) of the components needed for collecting data and entering the data into a database.
Basic Data Quality Tools an individual data record is either (1) within the acceptable region of values or (2) in the rejection (unacceptable) region of values. If the data are within the unacceptable region, we say that the test “rejects” the data. In such circumstances, we might simply “flag” either the problematic data element or the entire data record; alternatively, we may not enter a data record onto the data system until its data are made acceptable. 4. Deterministic Tests In this section we describe a number of types of deterministic tests to help us edit our data.
In those situations, she said, hundreds or even thousands of pieces of mail can go to the wrong address. But those kinds of mistakes are usually noticed and corrected quickly. The Washington Post article also quoted Chris Hoofnagle, associate director of the Electronic Privacy Information Center, as saying, It should be rather obvious when a bank sends 20 statements to the same address that there’s a problem. But small errors can be magnified when you’re dealing with very large institutions. This is not your neighborhood bank.