Bivariate boxplot, Advanced Statistics

Bivariate boxplot: A bivariate analogue of boxplot in which the inner area contains 50%of the data, and a 'fence' helps to identify the potential outliers. Robust methods or techniques are usually used to ?nd out the estimates of the location, scale and correlation parameters needed to construct the plot, so as to avoid possible distortions which outlying observations might cause. An instance of such a plot for number of manufacturing enterprises and sulphur dioxide concentration recorded for the number of cities in USA with cities deemed outliers labeled with the name of city.

Posted Date: 7/26/2012 5:50:11 AM | Location : United States







Related Discussions:- Bivariate boxplot, Assignment Help, Ask Question on Bivariate boxplot, Get Answer, Expert's Help, Bivariate boxplot Discussions

Write discussion on Bivariate boxplot
Your posts are moderated
Related Questions
This term is sometimes used for the data collected in those longitudinal studies in which more than the single response variable is recorded for each subject on each occasion. For

Regression dilution is the term which is applied when a covariate in the model cannot be measured directly and instead of that a related observed value must be used in analysis. I

Cascadedparameters: A group of parameters which is interlinked and where selecting the value for the ?rst parameter affects the choice and option available in the subsequent param


Hamilton County judges try thousands of cases per year. In an overwhelming majority of the cases disposed, the verdict stands as rendered. However, some cases are appeale

Inliers is the term used for the observations most likely to be subject to error in situations where the dichotomy is developed by making a ‘cut’ on an ordered scale, and where th

The Null Hypothesis - H0:  γ 1 = γ 2 = ...  =  0  i.e.  there is no heteroscedasticity in the model The Alternative Hypothesis - H1:  at least one of the γ i 's are not equal

regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual

hello I have a dataset including both categorical & numerical variable for market segmentation.how can i cluster them via k-means in matlab? thank you

Ask questT-TEST? ion #Minimum 100 words accepted#