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数学
Confident Estimation for Density of a Biological Population Based on Line Transect Sampling
 
<正>Line transect sampling is a very useful method in survey of wildlife population.Confident interval estimation for density D of a biological population is proposed based on a sequential design.The survey area is occupied by the population whose size is unknown.A stopping rule is proposed by a kernel-based estimator of density function of the perpendicular data at a distance.With this stopping rule,we construct several confidence intervals for D by difference procedures.Some bias reduction techniques are used to modify the confidence intervals.These intervals provide the desired coverage probability as the bandwidth in the stopping rule approaches zero.A simulation study is also given to illustrate the performance of this proposed sequential kernel procedure.
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Acta Mathematicae Applicatae Sinica(English Series)
2010年01期

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