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- W2805979464 abstract "In the analysis of continuous data, researchers are often faced with the problem that statistical methods developed for single-point data (e.g., t test, analysis of variance) are not always appropriate for their purposes. Either methodological adaptations of single-point methods will need to be made, or confidence bands are the method of choice. In this article, we compare three prominent techniques to analyze continuous data (single-point methods, Gaussian confidence bands, and function-based resampling methods to construct confidence bands) with regard to their testing principles, prerequisites, and outputs in the analysis of continuous data. In addition, we introduce a new technique that combines the advantages of the existing methods and can be applied to a wide range of data. Furthermore, we introduce a method enabling a priori and a posteriori power analyses for experiments with continuous data." @default.
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- W2805979464 date "2018-06-04" @default.
- W2805979464 modified "2023-10-14" @default.
- W2805979464 title "Inference statistical analysis of continuous data based on confidence bands—Traditional and new approaches" @default.
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- W2805979464 doi "https://doi.org/10.3758/s13428-018-1060-5" @default.
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