**Distribution**

Hard clams are quite common throughout New England, north into Canada, and all down the Eastern seaboard of the United States to Florida, but are particularly abundant between Cape Cod and New Jersey, where seeding and harvesting them is an important commercial form of aquaculture; for example, the species is an important member of the suspension-feeding, benthic fauna of the lower Chesapeake Bay, while Rhode Island, situated right in the middle of "quahog country," has supplied a quarter of the U.S.'s total annual commercial quahog catch. The quahog is the official shellfish of the U.S. state of Rhode Island. The species has also been introduced and is farmed on the Pacific coast of North America and in Great Britain and continental Europe. It reproduces sexually by females and males shedding gametes into the water.

Read more about this topic: Quohog

### Other articles related to "distribution":

... first statement of the formula for the normal

**distribution**curve, the first method of finding the probability of the occurrence of an error of a given size when that error is expressed in terms of the variability of ... Annuities upon Lives, in which he revealed the normal

**distribution**of the mortality rate over a person’s age ...

**Distribution**s - Steady-state Analysis and The Time-inhomogeneous Markov Chain

... 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 ... is efficient for a particular kind of mixing, but each matrix respects a shared equilibrium

**distribution**...

... 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**...

**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 ... 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:

“There is the illusion of time, which is very deep; who has disposed of it? Mor come to the conviction that what seems the succession of thought is only the *distribution* of wholes into causal series.”

—Ralph Waldo Emerson (1803–1882)

“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)

“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)