Explain Genstat, Advanced Statistics

Genstat: The basic purpose piece of statistical software for the management and the analysis of data.

The package incorporates the wide variety of data handling events and a wide range of statistical techniques including, cluster analysis, regression analysis, and the principal components analysis. Its is used as a sophisticated statistical programming language enables non- standard techniques of analysis to be implemented relatively easily.

Posted Date: 7/28/2012 4:01:08 AM | Location : United States

Related Discussions:- Explain Genstat, Assignment Help, Ask Question on Explain Genstat, Get Answer, Expert's Help, Explain Genstat Discussions

Write discussion on Explain Genstat
Your posts are moderated
Related Questions
The Null Hypothesis - H0: There is no first order autocorrelation The Alternative Hypothesis - H1: There is first order autocorrelation Durbin-Watson statistic = 1.98307

Behrens Fisher problem : The difficulty of testing for the equality of the means of the two normal distributions which do not have the equal variance. Various test statistics have

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

Growth curve analysis is t he general term for methods dealing with development of the individuals over time. A classic instance includes recordings made on a group of children, sa

Calibration : A procedure which enables a series of simply obtainable but inaccurate measurements of some quantity of interest to be used to provide more precise estimates of the r

4-13. Students in a management science class have just received their grades on the first test. The instructor has provided information about the first test grades in some previou

This is given by common network e.g. Phone Company. The public networks are those networks, which are given by common carriers. It can be a telephone company or an other organizati

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

need answers to questions in book advanced and multivariate statistical methods

A subject who withdraws from the study for whatever reason, adverse side effects, noncompliance, moving away from the district, etc. In number of cases the reason may not be known.