Shift Detections of Process Mean using Regression and Cross-Correlation Analyses

1997 ◽  
pp. 279-300 ◽  
Author(s):  
E. A. Elsayed ◽  
M. Gultekin ◽  
J. H. Byun
Keyword(s):  
Cross Correlation ◽  
Process Mean ◽  
Correlation Analyses

scholarly journals Binocular cross-correlation analyses of the effects of high-order aberrations on the stereoacuity of eyes with keratoconus

2019 ◽  
Vol 19 (6) ◽  
pp. 12 ◽  
Author(s):  
Sangeetha Metlapally ◽  
Shrikant R. Bharadwaj ◽  
Austin Roorda ◽  
Vinay Kumar Nilagiri ◽  
Tiffanie T. Yu ◽  
...  
Keyword(s):  
Cross Correlation ◽  
High Order ◽  
Correlation Analyses ◽  
High Order Aberrations

scholarly journals AR, CR and ARCR modeling for simulations and analyses of karst groundwater quality parameters

2018 ◽  
Vol 79 (1) ◽  
pp. 71-81
Author(s):  
Vesna Ristic-Vakanjac ◽  
Marina Cokorilo-Ilic ◽  
Petar Papic ◽  
Dusan Polomcic ◽  
Radisav Golubovic
Keyword(s):  
Groundwater Quality ◽  
Cross Correlation ◽  
Groundwater Resources ◽  
Extreme Rainfall ◽  
Bacterial Count ◽  
Quality Parameters ◽  
Theoretical Background ◽  
Precipitation Regime ◽  
Correlation Analyses ◽  
Nitrate Concentrations

Although an invisible component of the hydrologic cycle, groundwater generally takes precedence over other water resources in the area of drinking water supply. Among groundwater resources, karst aquifers tend to be rich in sufficiently-accessible amounts of high-quality water. During most of the year, this water requires only disinfection prior to delivery to the end user. However, in many cases extreme rainfall and/or sudden snow melt results in transient turbidity, increase in bacterial count and temporary contamination (e.g. increase in nitrate and phosphate concentrations). To be able to determine the effect of the precipitation regime on various groundwater quality parameters, it is necessary to establish continuous monitoring of the parameter of interest and certain parameters should be observed at least once a day, if not more often (continuously). Such monitoring provides sufficiently long time-series of the considered parameter, so that autocorrelation and cross-correlation analyses can be undertaken and AR, CR and ARCR modeling used for simulations and short-term forecasts. Apart from the theoretical background, the paper presents a case study of the occurrence of nitrates at a karst spring called ?Banja? near the city of Valjevo, Serbia. A ten-year (1991-2000) timeseries of the discharged volume of water was used in the study, as well as nitrate concentrations recorded on a daily basis. In addition, daily precipitation was gauged in the immediate vicinity of the catchment and the rainwater chemically analyzed. The analyses included nitrate concentrations in precipitation. The generated timeseries were used for autocorrelation and cross-correlation analyses of nitrate concentrations in the Banja Spring pool during the entire period of monitoring, as well as in one wet and one dry year. The results are presented for all three cases, based on simulations applying AR, CR and ARCR modeling.

scholarly journals Research on autocorrelation and cross-correlation analyses in vehicular nodes positioning

2019 ◽  
Vol 15 (4) ◽  
pp. 155014771984386 ◽  
Author(s):  
Xuerong Cui ◽  
Jingzhen Li ◽  
Juan Li ◽  
Jianhang Liu ◽  
Tingpei Huang ◽  
...  
Keyword(s):  
Cross Correlation ◽  
Correlation Analyses

scholarly journals The Relationship Between Daily Physical Activity and Pain in Individuals with Knee Osteoarthritis

Pain Medicine ◽  
2020 ◽  
Vol 21 (10) ◽  
pp. 2481-2495 ◽  
Author(s):  
Nicholas J Burrows ◽  
Benjamin K Barry ◽  
Daina L Sturnieks ◽  
John Booth ◽  
Matthew D Jones
Keyword(s):  
Physical Activity ◽  
Knee Osteoarthritis ◽  
Cross Correlation ◽  
Vigorous Physical Activity ◽  
Self Report ◽  
Pain Severity ◽  
Significant Heterogeneity ◽  
Cross Sectional ◽  
Correlation Analyses ◽  
Meta Analyses

Abstract Objective Investigate the association between physical activity and pain severity in individuals with knee osteoarthritis. Design Cross-sectional; systematic review with meta-analyses. Methods Thirty-one participants with knee osteoarthritis underwent assessment of symptoms via self-report questionnaires and quantitative sensory testing. Following testing, physical activity and symptoms were monitored for seven days using accelerometers and logbooks. Cross-correlation analyses were performed on fluctuations in symptoms and physical activity across the week to detect the relative timing of the strongest association between pain and activity. These data were complemented by meta-analyses of studies that examined correlations between pain from knee osteoarthritis and physical activity or fitness. Results Pain severity at baseline correlated with moderate to vigorous physical activity (r2 = 0.161–0.212, P < 0.05), whereby participants who were more physically active had less pain. Conversely, the peak of the cross-correlation analyses was most often positive and lagging, which indicated that pain was increased subsequent to periods of increased activity. These superficially discrepant findings were supported by the results of a meta-analysis of 13 studies and 9,363 participants, which identified significant heterogeneity for associations between physical activity and pain (I2 = 91%). Stronger inverse associations were found between fitness and pain. Conclusions Associations between physical activity and pain in people with knee osteoarthritis are variable and dynamic. These results reflect the beneficial impact of an active lifestyle and accompanying higher fitness. Yet, the side effect of acute periods of physical activity to transiently exacerbate pain may influence the behavior of some people to avoid activity because of pain.

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