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
The more effective display than a number of other methods or techniques, for instance, pie charts and bar charts, for displaying the quantitative data which are labeled. An instanc

Blinding : A procedure used in clinical trials to get rid of the possible bias which might be introduced if the patient and/or the doctor knew which treatment the patient is receiv

Multicentre study : The clinical trial conducted simultaneously in the number of participating hospitals, with all centres following an agreed-upon study of the protocol and with

Cochrane collaboration : An international network of the individuals committed to preparing , maintaining and disseminating the systematic reviews of the effects of the health care

the problem that demonstrates inference from two dependent samples uses hypothetical data from TB vaccinations and the number of new cases before and after vaccinations for cases o

Window variables are the variables measured during the constrained interval of an observation period which is accepted as the proxies for the information over the whole period. Fo

Non linear mapping (NLM ) is a technique for obtaining a low-dimensional representation of the set of multivariate data, which operates by minimizing a function of the differences

This is an attempt to measure the suffering caused by the illness which takes into the account both the years of the potential life lost due to the premature mortality as well as t

Ignorability : The missing data mechanism is said to be ignorable for likelihood inference if (1) the joint likelihood for the responses of the interest and missing data indicators

Individual differences scaling is a form of multidimensional scaling applicable to the data comprising of a number of proximity matrices from the different sources that is differe