• No results found

Multiple comparison of the mean colour difference (∆E)

The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR)

The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR)

... global mean of the data, α i the difference to the mean of the i-th group and  the residual ...ties), mean ranks are designated to the corresponding ...

9

1.3. The Mean Temperature Difference

1.3. The Mean Temperature Difference

... The usual solution is to use multiple shells in series, as diagrammed in Fig. 1.31 for a very simple case. More than two tube passes per shell may be used. The use of up to six shells in series is quite common, ...

7

Which is more generalizable, powerful and interpretable in meta-analyses, mean difference or standardized mean difference?

Which is more generalizable, powerful and interpretable in meta-analyses, mean difference or standardized mean difference?

... group’s mean post-treatment score on scale X was 10 points higher than that of a control group, there is no way of appreciating how much a difference this actually represents unless you are very familiar ...

7

Quantifying plant colour and colour difference as perceived by humans using digital images

Quantifying plant colour and colour difference as perceived by humans using digital images

... flower colour can influence species management. Colour and colour contrast may influence the detectability of invasive or rare species during ...plant colour are required for comparison ...

12

Robust multiple pairwise comparison procedure for adaptive trimmed mean via P-Method

Robust multiple pairwise comparison procedure for adaptive trimmed mean via P-Method

... Abstract Robust omnibus tests which are widely available are commonly used as alternatives to the classical Analysis of Variance (ANOVA) when the assumptions are violated. Like ANOVA, each of these omnibus tests needs a ...

18

A Comparison Of Mean-Variance And Mean-Semivariance Optimisation On The JSE

A Comparison Of Mean-Variance And Mean-Semivariance Optimisation On The JSE

... outperform mean-variance methods during the ...the difference in optimisation techniques, where Pre diff relates to the difference in risk adjusted returns pre-crisis (semideviation RAR – standard ...

10

How multiple imputation makes a difference

How multiple imputation makes a difference

... It is well below the mean, meanwhile, in studies of income inequality (141 percent), redistribution (90 percent), and policy diffusion (88 percent). Finally, it is worth emphasizing that many of the changes in the ...

35

Comparison of global ocean colour data records

Comparison of global ocean colour data records

... monthly mean chlorophyll a (Chl-a) sea surface concentration between 2002 and ...root mean square (RMS) differ- ence 1 between (log-transformed) Chl-a from SeaWiFS and MODIS Aqua amounts to ...The ...

16

Colour Cartridge Reliability Comparison Study 2014

Colour Cartridge Reliability Comparison Study 2014

... Original HP Black, Cyan, Magenta, and Yellow cartridges were acquired from multiple retail vendors in the USA. Each brand of non-HP cartridges were acquired from multiple vendors, when available, either ...

10

Evaluation of the perceived colour difference under different lighting for museum applications

Evaluation of the perceived colour difference under different lighting for museum applications

... The comparison between the various illuminants does not reveal a general predominance for the subjective values compared to those calculated but depending on the patch and the type of lighting, the results assume ...

8

A comparison of mean-variance efficiency tests

A comparison of mean-variance efficiency tests

... of multiple financial assets, in which the probability of the joint occurrence of several extreme events is regularly underestimated by the multivariate normal ...

45

Multiple Target Tracking with an Efficient Compact Colour Correlogram

Multiple Target Tracking with an Efficient Compact Colour Correlogram

... spatial mean and covariances to capture richer description of the ...a mean-shift framework for tracking pose and position of an object ...for multiple target tracking ...a multiple cue ...

6

Comparison of Arithmetic Mean, Geometric Mean and Harmonic Mean Derivative-Based Closed Newton Cotes Quadrature

Comparison of Arithmetic Mean, Geometric Mean and Harmonic Mean Derivative-Based Closed Newton Cotes Quadrature

... on multiple integration, possibly in very high dimensions ...Mathematics, mean has several different definitions depending on the ...arithmetic mean, geometric mean and harmonic mean ...

9

Area (km²) Mean Median NMAD RMSE standard deviation difference of elevation difference (HS Pléiades.

Area (km²) Mean Median NMAD RMSE standard deviation difference of elevation difference (HS Pléiades.

... Many more stereo algorithms and options are available in ASP to process stereo images. In fact we tested around 1500 combinations of six options in a small sub-zone of the study area in order to determine an optimal set ...

19

Multiple-Comparison Procedures

Multiple-Comparison Procedures

... Hsu’s multiple comparisons with best (MCB) “Hsu’s MCB” does comparisons between each sample mean and the “best” of all the other means, where you specify that “best” means either largest or ...

9

Comparison of Skin Colour Detection Techniques for Face Recognition

Comparison of Skin Colour Detection Techniques for Face Recognition

... the difference between the blue component and a reference ...the difference between the red component and a reference ...OF COLOUR MODELS In this paper, each colour model which is proposed has ...

7

Mean-Coherent Risk and Mean-Variance Approaches in Portfolio Selection: An Empirical Comparison

Mean-Coherent Risk and Mean-Variance Approaches in Portfolio Selection: An Empirical Comparison

... always mean a difference in allocation between the mean-variance and the mean-shortfall portfolios, because distributions of the returns can still be close to elliptically ...the ...

53

Image Registration and Restoration from Multiple degraded colour images

Image Registration and Restoration from Multiple degraded colour images

... 4.1.3. Mutual information methods The mutual information (MI) methods are the last group of the area-based methods to be reviewed here. They have appeared recently and represent the leading technique in multimodal ...

7

True colour retrieval from multiple illuminant scene’s image

True colour retrieval from multiple illuminant scene’s image

... the colour variability of each segment using the normalised average absolute difference (NAAD) value of its colour ...enough colour variety, are chosen to contribute into whole image ...

6

True colour retrieval from multiple illuminant scene’s image

True colour retrieval from multiple illuminant scene’s image

... the colour variability of each segment using the normalised average absolute difference (NAAD) value of its colour ...enough colour variety, are chosen to contribute into whole image ...

5

Show all 10000 documents...

Related subjects