Rolling Leukocyte Detection based on Teardrop Shape and the Gradient Inverse Coefficient of Variation

2006 ◽  
Author(s):  
S. Sahoo ◽  
N. Ray ◽  
S.T. Acton
Keyword(s):  
Coefficient Of Variation ◽  
Rolling Leukocyte ◽  
Inverse Coefficient

scholarly journals Three-Stage Sequential Estimation of the Inverse Coefficient of Variation of the Normal Distribution

Computation ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 69 ◽  
Author(s):  
Ali Yousef ◽  
Hosny Hamdy
Keyword(s):  
Confidence Interval ◽  
Normal Distribution ◽  
Coefficient Of Variation ◽  
Sequential Estimation ◽  
Point Estimation ◽  
Squared Error Loss Function ◽  
Fixed Sample ◽  
Sampling Cost ◽  
Better Than ◽  
Inverse Coefficient

This paper sequentially estimates the inverse coefficient of variation of the normal distribution using Hall’s three-stage procedure. We find theorems that facilitate finding a confidence interval for the inverse coefficient of variation that has pre-determined width and coverage probability. We also discuss the sensitivity of the constructed confidence interval to detect a possible shift in the inverse coefficient of variation. Finally, we find the asymptotic regret encountered in point estimation of the inverse coefficient of variation under the squared-error loss function with linear sampling cost. The asymptotic regret provides negative values, which indicate that the three-stage sampling does better than the optimal fixed sample size had the population inverse coefficient of variation been known.

scholarly journals Tooth segmentation using dynamic programming-gradient inverse coefficient of variation

2019 ◽  
Vol 8 (1) ◽  
pp. 253-260
Author(s):  
Anuar Mikdad Muad ◽  
Nur Sakinah Mohamed Bahaman ◽  
Aini Hussain ◽  
Mohd Yusmiaidil Putera Mohd Yusof
Keyword(s):  
Dynamic Programming ◽  
Coefficient Of Variation ◽  
Third Molar ◽  
Panoramic Radiograph ◽  
Forensic Odontology ◽  
Forensic Dentistry ◽  
The Individual ◽  
Investigation Process ◽  
Inverse Coefficient ◽  
Tooth Segmentation

Teeth provide meaningful clues of an individual. The growth of the teeth is correlated with the individual age. This correlation is widely used to estimate age of an individual in applications like conducting forensic odontology, immigration, and differentiating juveniles and adolescents. Current forensic dentistry largely depends on laborious investigation process that is performed manually and can be influenced by human factors like fatigue and inconsistency. Digital panoramic radiograph dental images allow noninvasive and automatic investigation to be performed. This paper presents analyses on third molar tooth segmentation for the population in Malaysia, ranging from persons age of 5 years old to 23 years old. Two segmentation techniques: gradient inverse coefficient of variation with dynamic programming (DP-GICOV) and Chan-Vese (CV) were employed and compared. Results demonstrated that the accuracy of DP-GICOV and CV were 95.3%, and 81.6%, respectively.

scholarly journals Three-Stage Estimation of the Mean and Variance of the Normal Distribution with Application to an Inverse Coefficient of Variation with Computer Simulation

Mathematics ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 831 ◽  
Author(s):  
Yousef ◽  
Hamdy
Keyword(s):  
Confidence Interval ◽  
Normal Distribution ◽  
Coefficient Of Variation ◽  
Point Estimation ◽  
Squared Error Loss Function ◽  
Sampling Cost ◽  
The Mean ◽  
Interval Problems ◽  
Stage Estimation ◽  
Inverse Coefficient

This paper considers sequentially two main problems. First, we estimate both the mean and the variance of the normal distribution under a unified one decision framework using Hall’s three-stage procedure. We consider a minimum risk point estimation problem for the variance considering a squared-error loss function with linear sampling cost. Then we construct a confidence interval for the mean with a preassigned width and coverage probability. Second, as an application, we develop Fortran codes that tackle both the point estimation and confidence interval problems for the inverse coefficient of variation using a Monte Carlo simulation. The simulation results show negative regret in the estimation of the inverse coefficient of variation, which indicates that the three-stage procedure provides better estimation than the optimal.

400-P: High Levels of Glycemic Coefficient of Variation Are Associated with Higher Hypoglycemia Episodes in T1D Adults in a Brazilian Tertiary Hospital

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 400-P
Author(s):  
THAIS B. BRASIL ◽  
ANDREI C. SPOSITO ◽  
BEATRIZ ADACHI ◽  
WALKYRIA M. VOLPINI ◽  
ELIZABETH J. PAVIN
Keyword(s):  
Coefficient Of Variation ◽  
Tertiary Hospital
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