A law of ordinal random error: The Rasch measurement model and random error distributions of ordinal assessments
Sign Up to like & getrecommendations! Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2018.08.062
Abstract: Abstract Assessments in ordered categories are ubiquitous in educational, social and health sciences. These assessments are analogous to measurements in the natural sciences in that an idealised linear continuum is partitioned by successive thresholds into… read more here.
Keywords: law; random error; ordinal assessments; model ... See more keywords
Random Error in Strain Calculation using Regularized Polynomial Smoothing (RPS) and Point-wise Least Squares (PLS) in Digital Image Correlation
Sign Up to like & getrecommendations! Published in 2021 at "Optics and Lasers in Engineering"
DOI: 10.1016/j.optlaseng.2021.106590
Abstract: Abstract The strain error analysis is greatly concerned recently as digital image correlation (DIC) is used to measure the heterogeneous deformation. This paper focuses on the estimation of random error and under-matched error caused by… read more here.
Keywords: random error; digital image; image correlation; error ... See more keywords
Modelling ordinal assessments: fit is not sufficient
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1473595
Abstract: Abstract Assessments in ordered categories are ubiquitous in the social sciences. These assessments are assigned ordinal counts and analyzed with probabilistic models. If the counts fit the model, it is assumed that no unaccounted for… read more here.
Keywords: random error; modelling ordinal; error distributions; ordinal assessments ... See more keywords
Random Error Reduction Algorithms for MEMS Inertial Sensor Accuracy Improvement—A Review
Sign Up to like & getrecommendations! Published in 2020 at "Micromachines"
DOI: 10.3390/mi11111021
Abstract: Research and industrial studies have indicated that small size, low cost, high precision, and ease of integration are vital features that characterize microelectromechanical systems (MEMS) inertial sensors for mass production and diverse applications. In recent… read more here.
Keywords: mems inertial; random error; improvement; inertial sensor ... See more keywords