sampling error

Time Series Analyses on Opinion Survey Data: The Method and Evaluations of Samplemiser

When researchers analyze time series survey data, it is of importance to distinguish random sampling error from volatility of time varying. This study aims at introducing a statistical method of Samplemiser developed by U.S. politics scientists for distinguishing genuine movements in public opinion from random movements produced by sampling error. In this work, we first explain the applicability and importance of Samplemiser by a preliminary example.

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