Throwing Stick - Distribution

Distribution

The throwing stick is a simple tool used in hunting small game and waterfowl. The Egyptians used throwing sticks to hunt ducks, as seen in several wall paintings. Tutankhamun was a known lover of duck hunting and used the throwing stick in his hunts. Gimel, the third letter of many Semitic alphabets, may have been named after a weapon that was either a staff sling or a throwing stick, ultimately deriving from a Proto-Sinaitic glyph based on an Egyptian hieroglyph. The Aborigines of Australia used the boomerang. Although returning boomerangs are found in many cultures and will return to the user if thrown properly, the choice weapon of most cultures was the heavy non-returning boomerang that could also be wielded as a club or knife for attacking close kangaroo, wallaby, and emu by using it as a stabbing weapon. Some Native American tribes such as the Hopi, as well as all southern California tribes, utilized the throwing stick to hunt rabbits and occasionally deer.

Other titles for the throwing stick are: rabbit stick, throwing club, killer stick, baton, boomerang, and kylie. The throwing stick can also be used as a weapon in human combat, though the heavy non-return boomerang was the only one truly effective in this use.

Other articles related to "distribution":

Hidden Markov Model - Types
... the states emit the observations according to some probability distribution ... One such example of distribution is Gaussian distribution, in such a Hidden Markov Model the states output is represented by a Gaussian distribution ...
Markov Chains - Steady-state Analysis and Limiting Distributions - Steady-state Analysis and The Time-inhomogeneous Markov Chain
... A Markov chain need not necessarily be time-homogeneous to have an equilibrium distribution ... If there is a probability distribution over states such that for every state j and every time n then is an equilibrium distribution of the Markov chain ... efficient for a particular kind of mixing, but each matrix respects a shared equilibrium distribution ...
Convergence Of Random Variables - Convergence in Distribution - Properties
... Since F(a) = Pr(X ≤ a), the convergence in distribution means that the probability for Xn to be in a given range is approximately equal to the probability that ... In general, convergence in distribution does not imply that the sequence of corresponding probability density functions will also converge ... These random variables converge in distribution to a uniform U(0, 1), whereas their densities do not converge at all ...

Famous quotes containing the word distribution:

In this distribution of functions, the scholar is the delegated intellect. In the right state, he is, Man Thinking. In the degenerate state, when the victim of society, he tends to become a mere thinker, or, still worse, the parrot of other men’s thinking.
Ralph Waldo Emerson (1803–1882)

The question for the country now is how to secure a more equal distribution of property among the people. There can be no republican institutions with vast masses of property permanently in a few hands, and large masses of voters without property.... Let no man get by inheritance, or by will, more than will produce at four per cent interest an income ... of fifteen thousand dollars] per year, or an estate of five hundred thousand dollars.
Rutherford Birchard Hayes (1822–1893)

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)