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We could not find any known distribution of count variables that gives rise to tails thinner than Poisson's , so we made one up . In particular , for a given Poisson rate , let p1 be the probability of observing n occur- rences .
We could not find any known distribution of count variables that gives rise to tails thinner than Poisson's , so we made one up . In particular , for a given Poisson rate , let p1 be the probability of observing n occur- rences .
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CHICAGO : HOUSING QUALITY BY NEIGHBORHOOD C. Households I consider income levels equal to the tenth , thirtieth , fiftieth , seventieth , and ninetieth percen- tiles of the income distribution of households with children in public or ...
CHICAGO : HOUSING QUALITY BY NEIGHBORHOOD C. Households I consider income levels equal to the tenth , thirtieth , fiftieth , seventieth , and ninetieth percen- tiles of the income distribution of households with children in public or ...
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The grey curves are the predictions from ( 5 ) while the black curves depict empirical distributions from simulations . ... Using this expression for the in - degree of a node , we can derive the degree distribution by keeping track of ...
The grey curves are the predictions from ( 5 ) while the black curves depict empirical distributions from simulations . ... Using this expression for the in - degree of a node , we can derive the degree distribution by keeping track of ...
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EDMUND S PHELPS | 541 |
O 2 0 2007 | 713 |
ALMA COHEN AND LIRAN EINAV | 745 |
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