The Estimation of the Poisson Parameter from a Truncated Distribution

Biometrika ◽  
1952 ◽  
Vol 39 (3/4) ◽  
pp. 247 ◽  
Author(s):  
P. G. Moore
Keyword(s):  
Truncated Distribution ◽  
Poisson Parameter

scholarly journals Application of a truncated distribution for tsumugi yarn width

2014 ◽  
Vol 85 (9) ◽  
pp. 929-935
Author(s):  
Akio Sakaguchi ◽  
Koji Yasuhara ◽  
Hirokazu Kimura
Keyword(s):  
Truncated Distribution

Risks of Arrest across Drug Markets: A Capture-Recapture Analysis of “Hidden” Dealer and User Populations

2005 ◽  
Vol 35 (4) ◽  
pp. 733-754 ◽  
Author(s):  
Martin Bouchard ◽  
Pierre Tremblay
Keyword(s):  
Drug Markets ◽  
Truncated Distribution ◽  
Canadian Province ◽  
Hidden Population ◽  
Aggregate Risks ◽  
Capture Recapture

Capture-recapture methodologies have been used to estimate the size of the hidden population of active offenders on the basis of the observed properties of the truncated distribution of arrested offenders. We use this approach to estimate the odds of arrest of marijuana, cocaine, crack, and heroin dealers and users in one Canadian province (Quebec). Findings indicate that risks of being arrested are much higher for sellers than for consumers and that this gap widens for the more harmful drugs. Findings also show, however, that vulnerability to arrest was significantly higher for marijuana users than for others users and that dealers in the smaller but more harmful drug markets (crack and heroin) manage to experience lower aggregate risks of arrest than cocaine or marijuana dealers.

Table of Neyman-Shortest Unbiased Confidence Intervals for the Poisson Parameter

Biometrika ◽  
1961 ◽  
Vol 48 (1/2) ◽  
pp. 191
Author(s):  
Colin R. Blyth ◽  
David W. Hutchinson
Keyword(s):  
Confidence Intervals ◽  
Poisson Parameter
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