Joint Probability Distribution - Joint Distribution For Independent Variables

Joint Distribution For Independent Variables

If for discrete random variables for all x and y, or for absolutely continuous random variables for all x and y, then X and Y are said to be independent.

Read more about this topic:  Joint Probability Distribution

Famous quotes containing the words joint, distribution, independent and/or variables:

    No Government can be long secure without a formidable Opposition. It reduces their supporters to that tractable number which can be managed by the joint influences of fruition and hope. It offers vengeance to the discontented, and distinction to the ambitious; and employs the energies of aspiring spirits, who otherwise may prove traitors in a division or assassins in a debate.
    Benjamin Disraeli (1804–1881)

    My topic for Army reunions ... this summer: How to prepare for war in time of peace. Not by fortifications, by navies, or by standing armies. But by policies which will add to the happiness and the comfort of all our people and which will tend to the distribution of intelligence [and] wealth equally among all. Our strength is a contented and intelligent community.
    Rutherford Birchard Hayes (1822–1893)

    The class of citizens who provide at once their own food and their own raiment, may be viewed as the most truly independent and happy.
    James Madison (1751–1836)

    Science is feasible when the variables are few and can be enumerated; when their combinations are distinct and clear. We are tending toward the condition of science and aspiring to do it. The artist works out his own formulas; the interest of science lies in the art of making science.
    Paul Valéry (1871–1945)