Regression through the Origin

Eisenhauer, Joseph G.

doi:10.1111/1467-9639.00136

Cited by 308 publications

(227 citation statements)

References 12 publications

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“…Following the applicability of regression through origin examples given in Eisenhauer (2003) and by assuming that the inexistence of any work elements (NWE) would yield a zero value for the TFPt, therefore a duration equaling zero for a given analyzed video file, the regression through origin (RTO) technique was used as a general methodological approach in developing most of the models. However, we assumed that the loading of a video file into the used software would require its existence, therefore it will require the setup and subsequent data exporting time.…”

Section: Experimental Design and Statistical Analysismentioning

confidence: 99%

“…As shown, the explaining capability of the used independent variables seemed to be substantially improved. However, the presented outputs are likely to be the results of the computational algorithm that is specific to RTO (Eisenhauer 2003), since the determination coefficient of the TSAE model (that was computed using ordinary least-squares regression), even improved, did not exceeded 0.60. All the developed models were very significant at the chosen confidence threshold, a fact that was also true in the case of the used independent variables.…”

Section: Time Consumption Prediction Modelsmentioning

confidence: 99%

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Time expenditure in computer aided time studies implemented for highly mechanized forest equipment

et al. 2015

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Abstract. Time studies represent important tools that are used in forest operations research to produce empirical models or to comparatively assess the performance of two or more operational alternatives with the general aim to predict the performance of operational behavior, choose the most adequate equipment or eliminate the useless time. There is a long tradition in collecting the needed data in a traditional fashion, but this approach has its limitations, and it is likely that in the future the use of professional software would be extended is such preoccupations as this kind of tools have been already implemented. However, little to no information is available in what concerns the performance of data analyzing tasks when using purpose-built professional time studying software in such research preoccupations, while the resources needed to conduct time studies, including here the time may be quite intensive. Our study aimed to model the relations between the variation of time needed to analyze the video-recorded time study data and the variation of some measured independent variables for a complex organization of a work cycle. The results of our study indicate that the number of work elements which were separated within a work cycle as well as the delay-free cycle time and the software functionalities that were used during data analysis, significantly affected the time expenditure needed to analyze the data (α=0.01, p<0.01). Under the conditions of this study, where the average duration of a work cycle was of about 48 seconds and the number of separated work elements was of about 14, the speed that was used to replay the video files significantly affected the mean time expenditure which averaged about 273 seconds for half of the real speed and about 192 seconds for an analyzing speed that equaled the real speed. We argue that different study designs as well as the parameters used within the software are likely to produce different results, a fact that should trigger other studies based on variations of these parameters. However, the results of this study give an initial overview on the time resources needed in processing and analyzing the data, and may help researchers in allocating their resources.

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Section: Experimental Design and Statistical Analysismentioning

confidence: 99%

Section: Time Consumption Prediction Modelsmentioning

confidence: 99%

Time expenditure in computer aided time studies implemented for highly mechanized forest equipment

et al. 2015

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“…Because we need to estimate only the ratio R for SCFR, however, we can reformulate (1) as a linear regression through the origin (RTO) model without a constant term (i.e., α) [13] by subtracting initial values from arrival times, timestamps, and packet delays: For k ≥ 1,…”

Section: A Regression Through the Origin (Rto) Modelmentioning

confidence: 99%

Asynchronous Source Clock Frequency Recovery through Aperiodic Packet Streams

Kim

2013

IEEE Commun. Lett.

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Abstract-We consider the most general case of source clock frequency recovery (SCFR) in packet networks, i.e., asynchronous SCFR through aperiodic packet streams, where there is neither a common reference clock nor any relation between packet generation intervals and a source clock frequency. We formulate the problem of asynchronous SCFR with timestamps as a linear case of regression through the origin (RTO) and propose two schemes, one based on recursive least squares (RLS) method and the other based on simple heuristics of cumulative ratio of interarrival and interdeparture times, which provide better estimates of the source clock frequency with faster convergence than conventional phase-locked loop (PLL)-based schemes.

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“…The constraint imposed when using regression through the origin requires an alternative to the ordinary least squares computation r 2 . The computed values were determined using the approach described by Eisenhauer (2003). As can be seen from the resulting equations, there was a very significant correlation between turbidity and suspended sediments, and the slope of the regression lines was very similar between sites.…”

Section: Analytical Proceduresmentioning

confidence: 99%

Contaminant Transport in Two Central Missouri Karst Recharge Areas

Lerch¹

2011

JCKS

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Karst watersheds with significant losing streams represent a particularly vulnerable setting for groundwater contamination because of the direct connection to surface water. Because of the existing agricultural land-use and future likelihood of urbanization, two losing-stream karst basins were chosen for intensive monitoring in Boone County, Missouri: Hunters Cave and Devils Icebox. Both caves were formed in Burlington Limestone and have similar recharge areas (33 to 34 km 2 ) and land uses. Year-round monitoring was conducted from April 1999 through March 2002 to characterize the water quality of the main cave streams relative to herbicide, nutrient, and sediment contamination. Water sampling entailed grab samples at regular intervals and runoff-event samples collected using automated sampling equipment. 21 at Hunters Cave. Herbicides or their metabolites were detected in more than 80% of the samples from both cave streams, and herbicide concentrations and areal loss rates were generally similar between the sites. Overall, the greater loads and mass flux of contaminants in the Devils Icebox recharge area compared to Hunters Cave was a result of both greater stream discharge and the occurrence of more cropped fields (94%) on claypan soils with high runoff potential. These claypan soils are known to be especially problematic with respect to surface transport of contaminants. Prevailing land use has significantly degraded the water quality in both recharge areas, but a watershed plan has been developed for the Bonne Femme watershed, which encompasses these two recharge areas. With the baseline data collected in this study, the impact of changing land uses and the implementation of management practices or new ordinances designed to improve water quality can be documented.

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Regression through the Origin

Cited by 308 publications

References 12 publications

Time expenditure in computer aided time studies implemented for highly mechanized forest equipment

Time expenditure in computer aided time studies implemented for highly mechanized forest equipment

Asynchronous Source Clock Frequency Recovery through Aperiodic Packet Streams

Contaminant Transport in Two Central Missouri Karst Recharge Areas

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