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Statistical Research

Data obtained by the Census Bureau report on people's behavior and condition: Who they are. How they live. Where they live. What they do. What they produce. How do we use data to produce official data products? How do we assess and quantify the uncertainty and quality of official data products? Statistical methods help us obtain and do things with data to provide answers to these and related questions.

Statistical methods are procedures that help with (1) the statistical design of an investigation (e.g., census, sample survey, administrative records, model building); (2) the summarization of the findings from the investigation; and (3) the inferences that can be drawn from sample data about an entire general population. Statistical methods also help us use un-designed data (e.g., commercial data and big data). When existing statistical methods are inadequate for addressing new and challenging data questions, improved or new statistical methods must be found.

Statistical research is the rigorous development of improved or new statistical methods grounded in probability and statistical theory. We focus on methods in seven areas of statistical research and maintain expertise in each.

Research & Expertise

    - Missing Data, Editing, and Imputation Methods

    - Record Linkage and Entity Resolution Methods

    - Small Area Estimation Methods

    - Survey Sampling: Estimation and Modeling Methods

    - Time Series and Seasonal Adjustment Methods

    - Experimentation and Statistical Modeling Methods

    - Simulation and Statistical Modeling Methods


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