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Coefficient of Variation

Ratio cum Meadian Based Modified Ratio Estimators with Known Kurtosis and Coefficient of Variation

Ratio cum Meadian Based Modified Ratio Estimators with Known Kurtosis and Coefficient of Variation

... populationU with some desirable properties like unbiasedness, minimum variance etc. The widely used estimator is the simplerandom sampling without replacement (SRSWOR) sample mean which provides an unbiased estimatorfor ...

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EntropyExplorer: an R package for computing and comparing differential Shannon entropy, differential coefficient of variation and differential expression

EntropyExplorer: an R package for computing and comparing differential Shannon entropy, differential coefficient of variation and differential expression

... Background: Differential Shannon entropy (DSE) and differential coefficient of variation (DCV) are effective met- rics for the study of gene expression data. They can serve to augment differential ...

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Novel Dimensionality Reduction Method for Symbolic Data using Coefficient of Variation

Novel Dimensionality Reduction Method for Symbolic Data using Coefficient of Variation

... The coefficient of variation represents the ratio of the standard deviation to the mean, and it is a useful statistic for comparing the degree of variation from one data series to another, even if ...

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Band Ranking via Extended Coefficient of Variation for Hyperspectral Band Selection

Band Ranking via Extended Coefficient of Variation for Hyperspectral Band Selection

... extended coefficient of variation (BRECV) is proposed for unsupervised hyperspectral band ...by coefficient of variation (CV), we constructed an extended CV matrix for every three adjacent ...

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An Efficient Estimator Improving the Searls’ Normal Mean Estimator for Known Coefficient of Variation

An Efficient Estimator Improving the Searls’ Normal Mean Estimator for Known Coefficient of Variation

... Abstract: This paper addresses the issue of finding an optimal estimator of the normal population mean when the coefficient of variation is known and is expected to be rather high, as per the pilot surveys ...

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Interval estimation and optimal design for the within-subject coefficient of variation for continuous and binary variables

Interval estimation and optimal design for the within-subject coefficient of variation for continuous and binary variables

... Scientists have developed several indices to assess the reli- ability and reproducibility of quantitative measurements. The intra-class correlation (ICC), the proportion of the between-subject variance to the total ...

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Ratio Cum Median Based Modified Ratio Estimators with Known Skewness, and Coefficient of Variation

Ratio Cum Median Based Modified Ratio Estimators with Known Skewness, and Coefficient of Variation

... The present paper deals with some ratio cum median based modified ratio estimators forestimating the finite population mean with the linear combinations of known parameters of the auxiliary variable such as skewness, and ...

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Confidence Intervals for the Reciprocal of a Normal Mean with a Known Coefficient of Variation and a Restricted Parameter Space

Confidence Intervals for the Reciprocal of a Normal Mean with a Known Coefficient of Variation and a Restricted Parameter Space

... The natural parameter space is known to be restricted in many real applications such as engineering, sciences and social sciences. The confidence interval derived from the classical Neyman procedure is unsatisfactory in ...

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Joint Probability Density and Weighted Probabilistic PCA Based on Coefficient of Variation for Multimode Process Monitoring

Joint Probability Density and Weighted Probabilistic PCA Based on Coefficient of Variation for Multimode Process Monitoring

... In this study, joint probability density is introduced for mode identification and CV-WPPCA is proposed to improve the monitoring performance of PPCA method under different operating modes. CV-WPPCA method aims to ...

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Estimation of finite population mean in two-phase sampling with known coefficient of variation of an auxiliary character

Estimation of finite population mean in two-phase sampling with known coefficient of variation of an auxiliary character

... the coefficient of variation C x of the auxiliary variable x motivated by (Singh and Ruiz Espejo, 2003) and Singh and Tailor, 2005) suggested the following ratio- cum-product estimator for the population ...

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Power of Mean Chart under Second Order Auto- Correlation with Known Coefficient of Variation

Power of Mean Chart under Second Order Auto- Correlation with Known Coefficient of Variation

... In this paper we investigate the effect of autocorrelation on the power function of X -chart is studied with known coefficient of variation(cv). We synthesize the second order auto correlated process (AR ...

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Segmentation of Carpal Bones Using Gradient Inverse Coefficient  of Variation with Dynamic Programming Method

Segmentation of Carpal Bones Using Gradient Inverse Coefficient of Variation with Dynamic Programming Method

... inverse coefficient of variation (GICOV) [29] is defined as the ratio of average image directional derivatives and its standard deviation along a ...

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Markov Chain Monte Carlo to Study the Estimation of the Coefficient of Variation

Markov Chain Monte Carlo to Study the Estimation of the Coefficient of Variation

... The coefficient of variation ( CV ) of a population is defined as the ratio of the population standard deviation to the population mean. It is regarded as a measure of stability or uncertainty, and can ...

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On Estimation of Population Coefficient of Variation in Presence of Measurement Errors

On Estimation of Population Coefficient of Variation in Presence of Measurement Errors

... inequality. Coefficient of variation is a unitlessrelative measure of ...units. Coefficient of variation has almost stable rate of change from one survey to ...The coefficient of ...

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Use of Coefficient of Variation in Assessing Variability of Quantitative Assays

Use of Coefficient of Variation in Assessing Variability of Quantitative Assays

... the coefficient of variation associated with repeated measurements from quantitative assays and the expected fraction of pairs of those measurements that differ by at least some given factor, ...particular ...

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Inference for the Normal Mean with Known Coefficient of Variation

Inference for the Normal Mean with Known Coefficient of Variation

... Normal distribution is one of the most widely known and commonly used distributions in statistics. Even in the introductory statistics courses, we discussed inference about the mean of a normal distribution. Usually we ...

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Hydraulic Studies of Drip Irrigation System under Using Low Quality Water Conditions I- Application efficiency, Uniformity Coefficient and Coefficient of Variation of the examined emitters.

Hydraulic Studies of Drip Irrigation System under Using Low Quality Water Conditions I- Application efficiency, Uniformity Coefficient and Coefficient of Variation of the examined emitters.

... Water characteristics have the majority effect on the hydraulic performance of on-farm irrigation systems and their equipment. Therefore, the aim of this study was to evaluate the hydraulic characterization of surface ...

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Estimation of the location parameter of  distributions with known coefficient of variation by record values

Estimation of the location parameter of distributions with known coefficient of variation by record values

... of variation is useful in environmental studies where µ represents mean concentration level of a particular chemical or pollutant (in air or water), and the standard deviation cµ is directly proportional to mean ...

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Topics Involving the Gamma Distribution: the Normal Coefficient of Variation and Conditional Monte Carlo.

Topics Involving the Gamma Distribution: the Normal Coefficient of Variation and Conditional Monte Carlo.

... The chapter stops short of applying Monte Carlo methods to examples with non- linear statistics, but does derive the kernel of the jumping density for Gibbs sampling from a gamma distrib[r] ...

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Coefficient of glucose variation is independently associated with mortality in critically ill patients receiving intravenous insulin

Coefficient of glucose variation is independently associated with mortality in critically ill patients receiving intravenous insulin

... that coefficient of blood glucose vari- ation is independently associated with 30-day mortality in the critically ill ...of coefficient of variation and mortality, this study adds value to the lit- ...

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