Relevant bibliographies by topics / Standard error of measurement

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Standard error of measurement'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Standard error of measurement"

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Adamczak, Stanisław, Jacek Świderski, and Urszula Kmiecik-Sołtysiak. "Estimation of the uncertainty of the roundness measurement with a device with rotary spindle." Mechanik 90, no. 10 (October 9, 2017): 912–14. http://dx.doi.org/10.17814/mechanik.2017.10.145.

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The paper presents the estimation of uncertainty of roundness measurement using the Talyrond 73 by analyzing the sources of measurement errors such as measuring noise, signal drift, radial spindle error, repeatability, sensor gain error and uncertainty of measurement standards. The study included the following measurements: roller bearing, glass hemisphere and flick standard.
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Feldt, Leonard S., and Audrey L. Qualls. "Approximating Scale Score Standard Error of Measurement From the Raw Score Standard Error." Applied Measurement in Education 11, no. 2 (April 1998): 159–77. http://dx.doi.org/10.1207/s15324818ame1102_3.

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Apanasovich, Tatiyana V., Raymond J. Carroll, and Arnab Maity. "SIMEX and standard error estimation in semiparametric measurement error models." Electronic Journal of Statistics 3 (2009): 318–48. http://dx.doi.org/10.1214/08-ejs341.

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Woodruff, David. "Conditional Standard Error of Measurement in Prediction." Journal of Educational Measurement 27, no. 3 (September 1990): 191–208. http://dx.doi.org/10.1111/j.1745-3984.1990.tb00743.x.

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Ali, Salah H. R. "Performance Investigation of CMM Measurement Quality Using Flick Standard." Journal of Quality and Reliability Engineering 2014 (July 17, 2014): 1–11. http://dx.doi.org/10.1155/2014/960649.

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Quality of coordinate measuring machine (CMM) in dimension and form metrology is designed and performed at the NIS. The experimental investigation of CMM performance is developed by using reference Flick standard. The measurement errors of corresponding geometric evaluation algorithm (LSQ, ME, MC, and MI) and probe scanning speed (1, 2, 3, 4, and 5 mm/s) are obtained through repeated arrangement, comparison, and judgment. The experimental results show that the roundness error deviation can be evaluated effectively and exactly for CMM performance by using Flick standard. Some of influencing quantities for diameter and roundness form errors may dominate the results at all fitting algorithms under certain circumstances. It can be shown that the 2 mm/s probe speed gives smaller roundness error than 1, 3, 4, and 5 mm/s within 0.2 : 0.3 μm. It ensures that measurement at 2 mm/s is the best case to satisfy the high level of accuracy in the certain condition. Using Flick standard as a quality evaluation tool noted a high precision incremental in diameter and roundness form indication. This means a better transfer stability of CMM quality could be significantly improved. Moreover, some error formulae of data sets have been postulated to correlate the diameter and roundness measurements within the application range. Uncertainty resulting from CMM and environmental temperature has been evaluated and confirmed the quality degree of confidence in the proposed performance investigation.
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Icasio-Hernández, O., Y. I. Curiel-Razo, C. C. Almaraz-Cabral, S. R. Rojas-Ramirez, and J. J. González-Barbosa. "MEASUREMENT ERROR WITH DIFFERENT COMPUTER VISION TECHNIQUES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 12, 2017): 227–35. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-227-2017.

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The goal of this work is to offer a comparative of measurement error for different computer vision techniques for 3D reconstruction and allow a metrological discrimination based on our evaluation results. The present work implements four 3D reconstruction techniques: passive stereoscopy, active stereoscopy, shape from contour and fringe profilometry to find the measurement error and its uncertainty using different gauges. We measured several dimensional and geometric known standards. We compared the results for the techniques, average errors, standard deviations, and uncertainties obtaining a guide to identify the tolerances that each technique can achieve and choose the best.
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Dasika, Saket S., Michael P. Sama, L. Felipe Pampolini, and Christopher B. Good. "Performance Validation of a Multi-Channel LiDAR Sensor: Assessing the Effects of Target Height and Sensor Velocity on Measurement Error." Transactions of the ASABE 62, no. 1 (2019): 231–44. http://dx.doi.org/10.13031/trans.12971.

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Abstract. The objective of this study was to determine the effects of sensor velocity and target height above ground level on height measurement error when using a multi-channel LiDAR sensor. A linear motion system was developed to precisely control the dynamics of the LiDAR sensor in an effort to remove uncertainty in the LiDAR position and velocity while under motion. The linear motion system allowed the LiDAR to translate forward and backward in one direction parallel to the ground. A user control interface was developed to operate the system under different velocity profiles and to log LiDAR data synchronous to the motion of the system. The performance of the linear motion system was validated with a tracking total station, and the results showed that the position and velocity control errors were negligible as compared to the LiDAR accuracy. The LiDAR was then validated using 25 test targets at varying heights above ground level (0.1, 0.3, 0.5, 0.6, and 0.8 m) with five different velocity profiles (0.1, 0.5, 1.0, 1.5, and 2.2 m s-1) and six replications to determine the effects of sensor velocity and target height on measurement error. The targets were painted white on one side and black on the other to determine the effect of relative intensity on LiDAR height measurement error. Generalized linear mixed models were fitted with the measurement error and the standard deviation of the measurement error as the responses. Sensor velocity, target height, and their interaction were considered as fixed effects to determine if there were significant differences in average error and standard deviation of error for different sensor velocities and target heights. The results indicated that the velocity of the LiDAR was a significant factor affecting the average error and standard deviation of error in height measurements. However, higher velocities tended to result in only slightly larger average errors. A three-fold increase in the standard deviation was observed when increasing the velocity from 0.1 to 2.2 m s-1. Height of the target was either a weakly significant or insignificant factor in average error and a weakly significant factor affecting the standard deviation of the LiDAR measurements, representing mixed results. The average error and standard deviation were less than 10 and 30 mm, respectively, for all replications. Relative intensities of the LiDAR measurements were 88.2% and 5.4% for white and black targets, respectively, and the different target colors exhibited a 4.7 mm shift in average estimated height error. These uncertainties may not be substantial for agricultural applications, where other sources of error, such as moving crop canopies or error in resolving the position of the sensor, are more likely to dominate overall measurement error. Keywords: LiDAR, Measurement error, Precision agriculture, Remote sensing, Validation.
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Huo, Peng Fei, Chao Wang, and Ke Yu Qi. "Simulation and Analysis of Measurement Method for Projectile Axial Acceleration by MEMS Sensor." Advanced Materials Research 411 (November 2011): 461–65. http://dx.doi.org/10.4028/www.scientific.net/amr.411.461.

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Measurement of axial acceleration is necessary for projectile range prediction. Three measurement methods, dual-accelerometer configuration, dual-accelerometer filtering and direct filtering, are used to eliminate acceleration measurement errors caused by accelerometer configuration location, installation errors and space rotating of projectiles. Based on six-degree ballistic trajectory model, the three measurement methods of projectile axial acceleration are simulated, and the simulation results show that standard deviation of dual-accelerometer configuration measurement error is 35.7318, while standard deviation of dual-accelerometer filtering measurement error is 2.2958 and direct filtering measurement error is 0.3344.
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Barabás, B. "A Simple Testing Procedure for near Infrared Instruments." Journal of Near Infrared Spectroscopy 6, A (January 1998): A163—A170. http://dx.doi.org/10.1255/jnirs.188.

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The testing and adjusting procedure of near infrared (NIR) spectrophotometers is based on the measurement of some standards and, if necessary, on the adjustment of the constants in the calibration equation. For this work some use few standards, whereas others use 20 or more. This work was aimed to determine the range of error compensation and the minimum number of standards required. The experiments were applied to wheat protein measurement using two scanning spectrophotometers. The errors in the NIR measurements were characterised as bias, skew, error derived from skew ( Eskew) and standard error of difference corrected for bias and skew ( SEDc) parameters and supposed that errors derived from the change in the wavelength or reflectance of the instrument. The confidence intervals of bias and skew, derived from duplicate measurements of various numbers of wheat standards, were used to determine the minimum number of standards required. The range of error compensation was defined with those bias values, where SEDc was smaller, than an acceptable limit. The range of compensation corresponded to a bias value of ± 8 g kg−1 for wheat protein measurements. The detection of error of measurements required 4 wheat standards. The elimination of errors of bias and skew required 9 standards within the above limits. The developed procedure was tested in case of real instrument error. Diminishing a bias from 5.2 g kg−1 to 0.7 g kg−1 and the root mean square difference ( RMSD) to an acceptable level required the use of 9 standards, similar to the model experiment. The simplicity and rapidity (about 10 min) of the procedure enabled the routine test of NIR instruments. The range of error compensation and the number of standards referred to wheat protein. The simple modelling procedure proved also suitable for the determination of these values for other components and under other measuring conditions.
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Harvill, Leo M. "An NCME Instructional Module on. Standard Error of Measurement." Educational Measurement: Issues and Practice 10, no. 2 (June 1991): 33–41. http://dx.doi.org/10.1111/j.1745-3992.1991.tb00195.x.

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Dissertations / Theses on the topic "Standard error of measurement"

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Tataryn, Douglas Joseph 1960. "Standard errors of measurement, confidence intervals, and the distribution of error for the observed score curve." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/277223.

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This paper reviews the basic literature on the suggested applications of the standard error of measurement (SEM), and points out that there are discrepancies in its suggested application. In the process of determining the efficacy and appropriateness of each of the proposals, a formula to determine the distribution of error for the observed score curve is derived. The final recommendation, which is congruent with Cronbach, Gleser, Nanda & Rajaratnam's (1972) recommendations, is to not use the SEM to create confidence intervals around the observed score: The predicted true score and the standard error of the prediction are better suited (non-biased and more efficient) for the task of estimating a confidence interval which will contain an individual's true score. Finally, the distribution of future observed scores around the expected true score is derived.
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Durney, Ann Wells. "Truncation and its effect on standard error of correlation coefficients." Thesis, The University of Arizona, 1990. http://hdl.handle.net/10150/277950.

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A Monte Carlo study was conducted to investigate the effect of truncation of score distributions on systematic bias and random error of correlation coefficient distributions. The findings were twofold: Correlation decreases systematically due to increasing truncation; and the standard error of the correlation coefficient, which is a measure of random error, increases due to increasing truncation.
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Choi, Jinah. "Conditional standard errors of measurement, confidence interval, and reliability for individual level student growth percentiles." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6074.

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The importance of measuring and monitoring educational achievement longitudinally has led to a proliferation of growth models. The Student Growth Percentile (SGP) is one score metric which helps to make inferences about current relative student status given prior test scores. The major purpose of this study was to provide two Conditional Standard Errors of Measurement (CSEM) estimation approaches for individual-level SGPs with theoretical justifications and empirical elaborations of them. Estimation approaches were developed under two commonly used paradigms: Classical Test Theory (CTT) and Item Response Theory (IRT). Within each paradigm, measurement error was conceptualized as variability of individual-level test scores across hypothetical repeated measurement using parallel test forms. Under the CTT paradigm, the measurement errors were assumed to be distributed as a binomial model. Under the IRT paradigm, they were assumed to be distributed as a compound binomial model. In addition to CSEMs, the purpose of this study was to develop procedures for constructing individual-level SGP confidence intervals and for estimating reliability. The proposed methods were demonstrated using data for a large-scale assessment of mathematics achievement from Grades 3 to 4. For example, pertinent tables and graphs including outcome statistics showed that the mean and median values of CSEMs for individual SGPs were sizable, the length of tests influenced actual values of CSEM for SGP, but there were small differences in CSEM values between the two types of conversion relationships. The CSEM values on the SGP scale by each academic peer group were distributed in an arch shape. Also, compared to the SGP reliabilities under CTT, those under IRT had similar reliability coefficients in the three tests. The results of these demonstrations were used to evaluate measurement errors in the context of practical and policy implications of SGP use. In final chapter, the practical use of SGPs and important considerations regarding measurement issues are provided. Further research related to SGPs using different subjects or grade levels, or simulation studies on the effective of the developed methodologies are also discussed.
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Filipe, Vitor. "Cinemática tri-dimensional do tronco durante uma tarefa de lifting: estudo da fiabilidade teste-reteste e diferença mínima detetável em indivíduos saudáveis." Master's thesis, Instituto Politécnico de Setúbal. Escola Superior de Saúde, 2017. http://hdl.handle.net/10400.26/19914.

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Relatório do Projeto de Investigação apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Fisioterapia, área de especialização em Fisioterapia em Condições Músculo-Esqueléticas
INTRODUÇÃO: A dor lombar (DL) é uma das condições músculo-esqueléticas que provoca um maior índice de incapacidade entre os indivíduos. Devido à relação estabelecida entre o movimento, dor e incapacidade, avaliação do movimento lumbo-pélvico é extremamente importante durante o exame de um paciente com DL. Assim, o estudo de padrões de movimentos de indivíduos saudáveis é importante para criar uma base empírica para a diferenciação entre o movimento normal e patológico. Embora exista conhecimento sobre os padrões lumbo-pélvicos em indivíduos saudáveis durante diferentes atividades diárias, falta informação sobre as propriedades psicométricas dos instrumentos de medição usados na sua avaliação. Assim, este estudo tem como objetivo avaliar a fiabilidade teste-reteste, o erro padrão de medida (EPM) e a diferença mínima detetável (DMD) da análise cinemática 3D do tronco e membro inferior durante uma tarefa de lifting, em indivíduos assintomáticos. OBJETIVO: Avaliar a fiabilidade teste-reteste, o EPM e a DMD da análise cinemática 3D do tronco e membro inferior durante uma tarefa de lifting, em indivíduos assintomáticos. METODOLOGIA: O presente estudo utilizou uma amostra de 14 indivíduos assintomáticos, em que cada um participou em dois momentos de avaliação, separados por uma média de 7 dias. Esta avaliação consistiu na recolha e análise da cinemática 3D do tronco e membro inferior durante uma tarefa de lifting. Para aferir acerca da fiabilidade e da concordância, foram calculados os valores de coeficiente de correlação intraclasse (CCI), assim como os valores de EPM, DMD e os limites de concordância (LDC). RESULTADOS: Foram obtidos valores elevados de fiabilidade teste-reteste (CCI >0.80) assim como valores de EPM baixos (<4°) para a maioria dos ângulos articulares analisados. No que toca à EPM% observou-se uma variação de 1.7 a 619% para os ângulos articulares máximos e mínimos e uma variação de 6.9 a 37.8% para as amplitudes articulares nos diferentes planos. Por último os valores absolutos de DMD variaram entre 2.2º e 23º, sendo que para a DMD% variou entre 4.7 e 1715.7% para os ângulos articulares máximos e mínimos. Já para os valores das amplitudes articulares nos diferentes planos, os valores absolutos de DMD variaram entre 1.5º e 19.7º, sendo que para a DMD% variaram entre 419 e 104.7%. DISCUSSÃO E CONCLUSÃO: O presente estudo veio demonstrar uma elevada fiabilidade para a medição cinemática 3D dos ângulos articulares do tronco e do membro inferior, assim como valores de EPM clinicamente aceitáveis, principalmente no que diz respeito às amplitudes articulares. Os resultados obtidos suportam a utilização desta medida na avaliação da tarefa do lifting em indivíduos assintomáticos, particularmente em contexto de investigação.
INTRODUCTION and AIM: Low Back Pain (LBP) is one of the musculoskeletal conditions that led to high levels of disability among individuals. Due to the established relationship between movement, pain and disability, the assessment of lumbo-pelvic movement is extremely important during the examination of a LBP patient. Thus, the study of healthy individuals movement patterns` is of importance in order to create an empirical basis for differentiation between normal and pathological movement. Although, knowledge do exist regarding lumbo-pelvic patterns in healthy individuals during different daily activities, information regarding the psychometric properties of the measurement tools used in their assessment is lacking. Thus, this study aims to evaluate the test-retest reliability, measurement error (SEM) and the minimal detectable change (MDC) of 3D kinematic analysis of the trunk and lower limb during a lifting task, in healthy individuals METHODS: The present study used a sample of 14 healthy individuals, who participated in two measurement moments separated by 7 days. This measurement consisted on the collection and analysis of the trunk and lower limb 3D kinematics during a lifting task. Intraclass correlation coefficient (ICC) values and respective 95% CI, as well as the SEM values, the 95% of limits of agreement (95% LOA), and SEM% were calculated. Finally, the absolute and percentage values of MDC were computed. RESULTS: High test-retest reliability (ICC >0.80) as well as low SEM values (<4°) were obtained for the most of the peak joint angles. Regarding the SEM%, the values ranged from 1.7 to 619% for the maximum and minimum joint angles, and from 6.9 to 37.8% for range of motion (ROM) on different movement planes. Finally, absolute MDC for maximum and minimum joint angles ranged from 2.2 to 23°, and MDC% ranged from 4.7 to 1715.7%. The absolute MDC for range of motion on different planes ranged from 1.5 to 19.7°, and the MDC% ranged from 419 e 104.7%. DISCUSSION AND CONCLUSION: The results of this study show high test-retest reliability and low measurement error for trunk and the lower limb joint angles, particularly regarding ROM parameters. High values for SEM% and MDC% were also found, especially in the horizontal plane parameters. Despite this, the obtained results seem to support the use of 3D analysis of the trunk and lower limb during lifting task, particularly in research contexts.
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Gomes, Luís. "Cinemática tri-dimensional do tronco durante uma tarefa de lifting: estudo da fiabilidade teste-reteste e diferença mínima detetável em indivíduos com dor lombar crónica." Master's thesis, Instituto Politécnico de Setúbal. Escola Superior de Saúde, 2017. http://hdl.handle.net/10400.26/18888.

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Relatório do Projeto de Investigação apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Fisioterapia, área de especialização em Fisioterapia em Condições Músculo- Esqueléticas
INTRODUÇÃO: A dor lombar crónica (DLC) é uma das condições musculo-esqueléticas que provoca um maior índice de incapacidade entre os indivíduos. Associada aos sintomas de dor e incapacidade, indivíduos com DLC apresentam alterações dos padrões de movimento (cinemáticas, cinéticas e eletromiográficas) em várias atividades da vida diária, especialmente aquelas que envolvem movimentos de flexão/ extensão do tronco como é o caso do lifting. Apesar de muito do conhecimento acerca destas alterações ter sido obtido com recurso a instrumentos considerados gold standard para a avaliação do movimento (instrumentos de medição regional e tri-dimensional (3D) do tronco e membros inferiores), a dúvida acerca das propriedades psicométricas destas medidas persiste. Assim, torna-se extremamente importante o estudo de propriedades como a fiabilidade teste-reteste, o erro padrão de medida (EPM) e a diferença mínima detetável (DMD) destas das medidas de forma a que estas possam ser utilizadas da forma mais fiável e precisa no estudo do movimento de indivíduos com DLC. OBJETIVO: Avaliar a fiabilidade teste-reteste, o EPM e a DMD da análise cinemática 3D do tronco e membro inferior durante uma tarefa de lifting, em indivíduos com DLC. METODOLOGIA: O presente estudo utilizou uma amostra de 14 indivíduos com DLC, em que cada um participou em dois momentos de avaliação, separados por uma média de 7.6 ±1.8 dias. Esta avaliação consistiu na recolha e análise da cinemática 3D do tronco e membro inferior durante uma tarefa de lifting. Para aferir acerca da fiabilidade e da concordância, foram calculados os valores de coeficiente de correlação intraclasse (CCI), e respetivos 95% IC, assim como os valores de EPM, respetivos 95% dos limites de concordância (LDC), e da EPM%. Por último, foram calculados os valores absolutos e de percentagem da DMD. RESULTADOS: Foram obtidos elevados valores de fiabilidade teste-reteste (CCI >0.80) assim como valores de EPM baixos (<4°) para a maioria dos ângulos articulares analisados. No que toca à EPM% foi encontrada uma grande variação de valores (variaram entre 1.57 e 23453.74%). Por último os valores absolutos de DMD variaram entre 2.12° e 20.22°, sendo que para a DMD% variou entre 4.36 e 65010.46%. DISCUSSÃO E CONCLUSÃO: O presente estudo veio demonstrar uma elevada fiabilidade para a medição cinemática 3D dos ângulos articulares do tronco e do membro inferior, assim como valores de EPM clinicamente aceitáveis. Por outro lado, foram também encontrados valores de EPM% e DMD% elevados, especialmente para os movimentos no plano horizontal. Apesar disto, os resultados obtidos suportam a utilização desta medida na avaliação da tarefa do lifting em indivíduos com DLC, em pelo menos contextos de investigação.
INTRODUCTION: Chronic low back pain (CLBP) is a musculoskeletal condition that causes a great level of disability among individuals. Associated with pain and disability, individuals with CLBP present changes in movement patterns (kinematic, kinetic and electromyographic) during many daily activities, especially those involving trunk flexion / extension movements such as lifting. Although much of the knowledge about these changes has been obtained using instruments considered as gold standard for movement study (regional and tri-dimensional instruments (3D) of the trunk and lower limbs), the question about the psychometric properties of these measures persists. Thus, gaining knowledge about properties such as reliability, standard error of measurement (SEM) and the minimal detectable change (MDC) of these measurements is extremely important so that they can be used in the most reliable and accurate way in the study of the movement of individuals with CLBP. AIM: Evaluate the test-retest reliability, SEM and MDC of 3D kinematic analysis of the trunk and lower limb during a lifting task, in individuals with CLBP. METHODOLOGY: The present study used a sample of 14 individuals with CLBP, that participated in two measurement moments separated by a mean of 7.6 ± 1.8 days. This measurement consisted on the collection and analysis of the 3D kinematics of the trunk and lower limb during a lifting task. Intraclass correlation coefficient (ICC) values, and their respective 95% CI, as well as the SEM values, respective 95% of limits of agreement (95% LOA), and SEM% were calculated. Finally, the absolute and percentage values of MDC were calculated. RESULTS: High values of test-retest reliability (ICC> 0.80) as well as low SEM values (< 4°) were obtained for the most of the peak joint angles. Regarding the SEM%, a large variation of values was found (varied between 1.57 and 23453.74%). Finally, absolute MDC ranged from 2.12 to 20.22°, and for MDC% ranged from 4.36 to 65010.46%. DISCUSSION AND CONCLUSION: The present study demonstrated a high test-retest reliability and a low SEM for the peak articular angles of the trunk and the lower limb. On the other hand, values of high SEM% and MDC% were also found, especially for the movements in the horizontal plane. Despite this, the results obtained support the use of this measure in the assessment of the lifting task in individuals with CLBP, at least in research contexts.
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Šrámek, Jan. "Vyjadřování nejistoty u přesných délkových měření II." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-229763.

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This diploma thesis is supposed to inform readers interested in the distance measurements uncertainty on practical issues connected with the solving of these troubles when utilising a frequently used calibration method - the Tesa NPL measure instrument. This measuring was implemented by the Czech Metrologic Institute, where the author works; therefore he could take advantage of his rich experience as well as experience of his superiors and colleagues. The author regards the national metrological institute (CMI) as a sufficient guarantee for the hereinafter presented materials, both regarding the professional qualification and from the perspective of formal rightness of this thesis.
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Bashir, Saghir Ahmed. "Measurement error in epidemiology." Thesis, University of Cambridge, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264544.

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Viprey, Fabien. "Modélisation et caractérisation des défauts de structure de machine-outil 5 axes pour la mesure in-process." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLN071/document.

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Le principe de la métrologie en cours d’usinage est d'obtenir des données de mesure directement dans le flot de production. Ce principe fait suite au besoin croissant des industriels de réaliser des mesures en ligne durant une opération ou entre deux opérations d'usinage en employant le moyen de production pour mesurer la pièce usinée. La maîtrise des sources d’erreur de mesure telles que les erreurs géométriques est une condition sine qua non pour garantir la métrologie dimensionnelle traçable directement sur les machines-outils. Ces travaux portent sur la modélisation géométrique de machine-outil 5 axes, basée sur une paramétrisation normalisée des erreurs géométriques. Ce modèle est simulé et simplifié par l’utilisation d’une machine virtuelle développée comme un outil d’aide à la compréhension et à la visualisation des effets des erreurs géométriques sur l’erreur volumétrique. Un nouvel étalon matériel thermo-invariant a été développé : la Multi-Feature Bar. Raccordé à la définition internationale du mètre par un étalonnage et une intercomparaison européenne, il permet d’envisager des mesures traçables sur machine-outil dans un environnement hostile. L’identification de trois paramètres intrinsèques à cet étalon, couplée à une procédure de mesure, assure une identification complète et traçable des erreurs de mouvement d’axes linéaires. Suite à cela, l’identification des erreurs entre axes est quant à elle basée sur une analyse de combinaisons de paramètres suffisants pour caractériser au mieux l’erreur volumétrique. Une procédure d’identification des paramètres du modèle est proposée en minimisant la dérive temporelle de la structure ainsi que les effets des erreurs de mouvement précédemment identifiées. Une analyse de sensibilité des paramètres de réglages de la procédure de mesure ainsi que des effets de bruits permet de garantir la qualité de l’identification proposée
In-process metrology consists in obtaining measurement data directly into the manufacturing process. This method results from an increasing need of manufacturers to carry out on-line measurements during one manufacturing task or between two manufacturing tasks by using the mean of production to measure the machined part. Monitoring the sources of errors like geometric errors is one of the prerequisites to ensure the traceable dimensional metrology directly on the machine tool.This thesis deals with the geometric modeling of 5-axis machine tool based on a standardized parameterization of geometric errors. This model is simulated and simplified by the use of a virtual machine developed in order to help understand and visualize the effects of geometric errors on the volumetric error.A new standard thermo-invariant material namely Multi-Feature Bar has been developed.After its calibration and after a European intercomparison, it provides a direct metrological traceability to the SI meter for dimensional measurement on machine tool in a hostile environment. The identification of three intrinsic parameters of this standard, coupled with a measurement procedure ensures complete and traceable identification of motion errors of linear axes. The identification of position and orientation errors of axis is based on an analysis of combinations of necessary parameters to characterize volumetric error and at best. A model parameter identification procedure is proposed by minimizing the time drift of the structural loop and the effects of previously identified motion errors. Asensitivity analysis of the measurement procedure settings and of the noise effects ensures the quality of this proposed identification
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Ratzer, Edward Alexander. "Error-correction on non-standard communication channels." Thesis, University of Cambridge, 2004. https://www.repository.cam.ac.uk/handle/1810/237471.

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Many communication systems are poorly modelled by the standard channels assumed in the information theory literature, such as the binary symmetric channel or the additive white Gaussian noise channel. Real systems suffer from additional problems including time-varying noise, cross-talk, synchronization errors and latency constraints. In this thesis, low-density parity-check codes and codes related to them are applied to non-standard channels. First, we look at time-varying noise modelled by a Markov channel. A low-density parity-check code decoder is modified to give an improvement of over 1dB. Secondly, novel codes based on low-density parity-check codes are introduced which produce transmissions with Pr(bit = 1) ≠ Pr(bit = 0). These non-linear codes are shown to be good candidates for multi-user channels with crosstalk, such as optical channels. Thirdly, a channel with synchronization errors is modelled by random uncorrelated insertion or deletion events at unknown positions. Marker codes formed from low-density parity-check codewords with regular markers inserted within them are studied. It is shown that a marker code with iterative decoding has performance close to the bounds on the channel capacity, significantly outperforming other known codes. Finally, coding for a system with latency constraints is studied. For example, if a telemetry system involves a slow channel some error correction is often needed quickly whilst the code should be able to correct remaining errors later. A new code is formed from the intersection of a convolutional code with a high rate low-density parity-check code. The convolutional code has good early decoding performance and the high rate low-density parity-check code efficiently cleans up remaining errors after receiving the entire block. Simulations of the block code show a gain of 1.5dB over a standard NASA code.
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Wang, Qiong. "Robust Estimation via Measurement Error Modeling." NCSU, 2005. http://www.lib.ncsu.edu/theses/available/etd-08112005-222926/.

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We introduce a new method to robustifying inference that can be applied in any situation where a parametric likelihood is available. The key feature is that data from the postulated parametric models are assumed to be measured with error where the measurement error distribution is chosen to produce the occasional gross errors found in data. We show that the tails of the error-contamination model control the properties (boundedness, redescendingness) of the resulting influence functions, with heavier tails in the error contamination model producing more robust estimators. In the application to location-scale models with independent and identically distributed data, the resulting analytically-intractable likelihoods are approximated via Monte Carlo integration. In the application to time series models, we propose a Bayesian approach to the robust estimation of time series parameters. We use Markov Chain Monte Carlo (MCMC) to estimate the parameters of interest and also the gross errors. The latter are used as outlier diagnostics.
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Books on the topic "Standard error of measurement"

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Geological Survey (U.S.), ed. Field evaluation of the error arising from inadequate time averaging in the standard use of depth-integrating suspended-sediment samplers. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2011.

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Chesher, Andrew. Wefare measurement and measurement error. Bristol: University of Bristol, Department of Economics, 1999.

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Measurement error models. New York: Wiley, 1987.

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Fuller, Wayne A., ed. Measurement Error Models. Hoboken, NJ, USA: John Wiley & Sons, Inc., 1987. http://dx.doi.org/10.1002/9780470316665.

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Hearn, Chase P. Q-circle measurement error. Hampton, Va: Langley Research Center, 1991.

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Chesher, Andrew. Measurement error bias reduction. Bristol: University of Bristol, Department of Economics, 1998.

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Carroll, Raymond J. Measurement error in nonlinear models. Boca Raton: Chapman & Hall/CRC, 1998.

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Carroll, R. J., D. Ruppert, and L. A. Stefanski. Measurement Error in Nonlinear Models. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-4477-1.

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Measurement error and research design. Thousand Oaks, CA: Sage Publications, 2004.

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W, Van Ness John, ed. Statistical regression with measurement error. London: Arnold, 1999.

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Book chapters on the topic "Standard error of measurement"

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Cerin, Ester. "Standard Error of Measurement." In Encyclopedia of Quality of Life and Well-Being Research, 6318–19. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_2847.

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Keeble, Michael E. "Error and Uncertainty in Metallographic Measurement." In 100 Years of E04 Development of Metallographic Standards, 53–65. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 2019. http://dx.doi.org/10.1520/stp160720170221.

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Foster, Dean P., Robert A. Stine, and Richard P. Waterman. "Standard Error." In Basic Business Statistics, 67–94. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-2717-3_4.

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Gooch, Jan W. "Standard Error." In Encyclopedic Dictionary of Polymers, 997. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15384.

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Nahler, Gerhard. "standard error." In Dictionary of Pharmaceutical Medicine, 173. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_1319.

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Foster, Dean P., Robert A. Stine, and Richard P. Waterman. "Standard Error." In Basic Business Statistics, 65–92. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-1696-4_4.

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Hutchins, Tiffany, Giacomo Vivanti, Natasa Mateljevic, Roger J. Jou, Frederick Shic, Lauren Cornew, Timothy P. L. Roberts, et al. "Measurement Error." In Encyclopedia of Autism Spectrum Disorders, 1817–18. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_1644.

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Buzas, Jeffrey S., Leonard A. Stefanski, and Tor D. Tosteson. "Measurement Error." In Handbook of Epidemiology, 1241–82. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-09834-0_19.

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Suen, Yi Nam, and Ester Cerin. "Measurement Error." In Encyclopedia of Quality of Life and Well-Being Research, 3907–9. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_1758.

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Caulcutt, Roland. "Measurement Error." In Research Methods for Postgraduates: Third Edition, 275–86. Oxford, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118763025.ch27.

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Conference papers on the topic "Standard error of measurement"

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Tutsch, Rainer, and Dmitriy Sumin. "Achieving precision measurements under non-standard environmental conditions." In 19th International Congress of Metrology (CIM2019), edited by Sandrine Gazal. Les Ulis, France: EDP Sciences, 2019. http://dx.doi.org/10.1051/metrology/201926005.

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Geometric measurements should be made at standard temperature 20°C, otherwise errors due to thermal expansion of workpieces and scales will occur. If measurements in serial production have to be made at different temperatures, DIN EN ISO 15530-3 describes a technique to correct the measurement error by referring to a calibrated reference workpiece. We have investigated this approach theoretically and experimentally and present some results.
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Kirkham, Harold, Artis Riepnieks, Eddy So, and Jim McBride. "Error correction: A proposal for a standard." In 2016 Conference on Precision Electromagnetic Measurements (CPEM 2016). IEEE, 2016. http://dx.doi.org/10.1109/cpem.2016.7540557.

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Gutierrez, David, and Chad Hanak. "Measurement-While-Drilling MWD Error Model Validation – Does the Model Reflect Reality?" In SPE/IADC International Drilling Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204026-ms.

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Abstract It has been well documented that magnetic models and Measurement-while-Drilling (MWD) directional sensors are not free from error. It is for this reason that directional surveys are accompanied by an error model that is used to generate an ellipse of uncertainty (EOU). The directional surveys represent the highest probable position of the wellbore and the EOU is meant to encompass all of the possible wellbore positions to a defined uncertainty level. The wellbore position along with the individual errors are typically presumed to follow a Normal (Gaussian) Distribution. In order for this assumption to be accurate, 68.3% of magnetic model and directional sensor error should fall within plus or minus one standard deviation (1σ), 95.5% within two standard deviations (2σ), and 99.7% within three standard deviations (3σ) of the limits defined in the error model. It is the purpose of this study to evaluate the validity of these assumptions. The Industry Steering Committee on Wellbore Survey Accuracy (ISCWSA) provides a set of MWD error models that are widely accepted as the industry standard for use in wellbore surveying. The error models are comprised of the known magnetic model and MWD directional sensor error sources and associated limits. It is the purpose of this paper to determine whether the limits defined in the ISCWSA MWD error models are representative of the magnitude of errors observed in practice. In addition to the ISCWSA defined error model terms, this research also includes an analysis of the sensor twist error term and the associated limits defined in the Fault Detection, Isolation, and Recovery (FDIR) error model. This study is comprised of 138 MWD runs that were selected based on the criteria that they were processed using FDIR with overlapping gyro surveying to ensure highly accurate and consistent estimated values. The error magnitudes and uncertainties estimated by FDIR were compiled and analyzed in comparison to the expected limits outlined in the error models. The results conclude that the limits defined in the ISCWSA error models are not always representative of what is observed in practice. For instance, in U.S. land the assumed magnitudes of several of the error sources are overly optimistic compared to the values observed in this study. This means that EOUs with which wells are planned may not be large enough in some scenarios which could cause the operator to assume unanticipated additional risk. The final portion of this analysis was undertaken to test the hypothesis that preventative measures such as additional non-magnetic spacing are generally being taken by operators and directional service providers to minimize additional injected error when survey corrections are not being implemented while drilling the well. This hypothesis was tested by dividing the 138 MWD runs into Historical (survey corrections were not utilized in real-time) and Real-Time (survey corrections were utilized in real-time) categories. The results indicate that there are no significant differences in the error estimates between the Historical and Real-Time categories. This result in combination with the determination that the majority of the error model error terms should be categorized as fat-tail distributed indicate that proper well spacing and economics calculated using separation factor alone are insufficient without the use of survey corrections in Real-Time.
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Sun Yingda, Xu Wenqin, Zhu Liangrong, Du Haiqing, and Zhang Ya. "Estimation of uncertainty in form error CMM measurement according to new GPS standard system." In International Technology and Innovation Conference 2009 (ITIC 2009). IET, 2009. http://dx.doi.org/10.1049/cp.2009.1501.

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Legarda, Aritz, Alberto Izaguirre, Nestor Arana, and Aitzol Iturrospe. "Comparison and error analysis of the standard pin-hole and Scheimpflug camera calibration models." In 2013 IEEE 11th International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM). IEEE, 2013. http://dx.doi.org/10.1109/ecmsm.2013.6648945.

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Leask, Scott B., Alice K. Li, Vincent G. McDonell, and Scott Samuelsen. "Preliminary Development of a Measurement Standard Using a Research Simplex Atomizer." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87940.

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Cold-flow spray researchers have an array of diagnostic tools to extract meaningful information on spray characteristics. The efficacy of many of these tools, however, depends heavily on calibration, alignment, and human operation. This can lead to large discrepancies in data values for seemingly identical setups between workers. The application of experimental data to numerical models is thereby hindered due to inconsistencies in results caused by experimental error. Previously, an attempt was made to produce a “standard spray” through the use of a research simplex atomizer (RSA). As manufacturing processes and diagnostic tools have improved, the research simplex atomizer is being revisited. Here, a new research simplex atomizer has been investigated. Fundamental datasets captured from detailed test conditions are presented to provide benchmark data with the intention of other workers testing the reproducibility of the results. Preliminary findings between laboratories show good agreement in droplet size measurements. Further, emphasis is placed on the sensitivity of laser diagnostics used and the effect their operation can incur. To satisfy the requirements of a measurement standard, it is paramount that all workers adhere to similar diagnostic configurations and detail their operating parameters.
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Zhang, Rui, Feng Zhou, Long-qing Guo, and Nan Wang. "Calibration standards for digital modulation error based on CW, AM or PM signal." In 2010 75th ARFTG Microwave Measurement Conference. IEEE, 2010. http://dx.doi.org/10.1109/arftg.2010.5496333.

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Berndt, Sebastian, Till Mrosk, Ralf Doerner, and Friedrich Lenk. "Residual errors in coplanar on-chip 1-port calibration caused by standard deviations." In 2013 81st ARFTG Microwave Measurement Conference (ARFTG). IEEE, 2013. http://dx.doi.org/10.1109/arftg.2013.6579054.

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Burroughs, C. J., A. Rufenacht, S. P. Benz, and P. D. Dresselhaus. "Systematic error analysis of stepwise approximated AC waveforms generated by a Programmable Josephson Voltage Standard." In 2008 Conference on Precision Electromagnetic Measurements (CPEM 2008). IEEE, 2008. http://dx.doi.org/10.1109/cpem.2008.4574658.

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Chen, Shih-Fang, and Jimmy C. Hsu. "Phase Error Calibration of Current Shunts at Power Frequencies Using AC-Programmable Josephson Voltage Standard." In 2018 Conference on Precision Electromagnetic Measurements (CPEM 2018). IEEE, 2018. http://dx.doi.org/10.1109/cpem.2018.8501002.

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Reports on the topic "Standard error of measurement"

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Aruoba, S. Boraǧan, Francis Diebold, Jeremy Nalewaik, Frank Schorfheide, and Dongho Song. Improving GDP Measurement: A Measurement-Error Perspective. Cambridge, MA: National Bureau of Economic Research, April 2013. http://dx.doi.org/10.3386/w18954.

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Schoen, Robert, Xiaotong Yang, and Gizem Solmaz. Psychometric Report for the 2019 Knowledge for Teaching Early Elementary Mathematics (K-TEEM) Test. Florida State University Libraries, May 2021. http://dx.doi.org/10.33009/lsi.1620243057.

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The 2019 Knowledge for Teaching Early Elementary Mathematics (2019 K-TEEM) test measures teachers’ mathematical knowledge for teaching early elementary mathematics. This report presents information about a large-scale field test of the 2019 K-TEEM test with 649 practicing educators. The report contains information about the development process used for the test; a description of the sample; descriptions of the procedures used for data entry, scoring of responses, and analysis of data; recommended scoring procedures; and findings regarding the distribution of test scores, standard error of measurement, and marginal reliability. The intended use of the data from the 2019 K-TEEM test is to serve as a measure of teacher knowledge that will be used in a randomized controlled trial to investigate the impact—and variation in impact—of a teacher professional-development program for early elementary teachers.
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Baker, Scott, Lorenz Kueng, Steffen Meyer, and Michaela Pagel. Measurement Error in Imputed Consumption. Cambridge, MA: National Bureau of Economic Research, September 2018. http://dx.doi.org/10.3386/w25078.

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Nybom, Martin, Toru Kitagawa, and Jan Stuhler. Measurement error and rank correlations. The IFS, April 2018. http://dx.doi.org/10.1920/wp.cem.2081.2818.

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Ghazarians, Alan, Subrata Sanyal, and Dennis H. Jackson. Application of Uniform Measurement Error Distribution. Fort Belvoir, VA: Defense Technical Information Center, March 2016. http://dx.doi.org/10.21236/ad1007537.

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Stefanski, L. A., and R. J. Carroll. Covariate Measurement Error in Logistic Regression. Fort Belvoir, VA: Defense Technical Information Center, April 1985. http://dx.doi.org/10.21236/ada160277.

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Koepke, Galen, Bob Rakoski, Robert Smith, and Dennis Camell. A Standard source method for reducing antenna factor errors in shielded room measurements. Gaithersburg, MD: National Bureau of Standards, 1996. http://dx.doi.org/10.6028/nist.tn.1382.

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Hanshaw, R. A. Coordinate Standard Measurement Development. Office of Scientific and Technical Information (OSTI), February 2000. http://dx.doi.org/10.2172/751342.

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Collard-Wexler, Allan, and Jan De Loecker. Production Function Estimation and Capital Measurement Error. Cambridge, MA: National Bureau of Economic Research, July 2016. http://dx.doi.org/10.3386/w22437.

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Vickers, Jr, and Ross R. Measurement Error in Maximal Oxygen Uptake Tests. Fort Belvoir, VA: Defense Technical Information Center, November 2003. http://dx.doi.org/10.21236/ada454282.

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