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On a probabilistic model for the numerical estimation of nocturnal migration of birds. / Baushev, Alexey Nickolayevich; Sinelschikova, Alexandra.

In: Mathematical Biosciences, Vol. 205, No. 1, 01.01.2007, p. 44-58.

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Baushev, Alexey Nickolayevich ; Sinelschikova, Alexandra. / On a probabilistic model for the numerical estimation of nocturnal migration of birds. In: Mathematical Biosciences. 2007 ; Vol. 205, No. 1. pp. 44-58.

BibTeX

@article{95f2f21ba9a24f5eaa0dfebe8f80a3b9,
title = "On a probabilistic model for the numerical estimation of nocturnal migration of birds",
abstract = "The study of nocturnal bird migration by cone methods of observation has a century-long history but has continued to be used up to the present. To describe the flux and estimate the number of passing birds a probabilistic model is proposed. This model is based on the concept of dynamic Poisson ensemble of points in appropriate phase space and has two parameters. One is scalar and the other one is functional. We constructed consistent estimations of these parameters and discuss their use for the numerical estimation of the flux of birds observed in a narrow light cone generated by the bright lunar disk and formed by an open angle of telescope. Selection on the same type of birds was suggested as the necessary condition for the model application. Ground speed of each bird was introduced into the model as a new but obligatory value determining the quantification of the flux of bird.",
keywords = "Bird migration, Intensity, Poisson ensemble of points",
author = "Baushev, {Alexey Nickolayevich} and Alexandra Sinelschikova",
year = "2007",
month = jan,
day = "1",
doi = "10.1016/j.mbs.2006.01.001",
language = "English",
volume = "205",
pages = "44--58",
journal = "Mathematical Biosciences",
issn = "0025-5564",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - On a probabilistic model for the numerical estimation of nocturnal migration of birds

AU - Baushev, Alexey Nickolayevich

AU - Sinelschikova, Alexandra

PY - 2007/1/1

Y1 - 2007/1/1

N2 - The study of nocturnal bird migration by cone methods of observation has a century-long history but has continued to be used up to the present. To describe the flux and estimate the number of passing birds a probabilistic model is proposed. This model is based on the concept of dynamic Poisson ensemble of points in appropriate phase space and has two parameters. One is scalar and the other one is functional. We constructed consistent estimations of these parameters and discuss their use for the numerical estimation of the flux of birds observed in a narrow light cone generated by the bright lunar disk and formed by an open angle of telescope. Selection on the same type of birds was suggested as the necessary condition for the model application. Ground speed of each bird was introduced into the model as a new but obligatory value determining the quantification of the flux of bird.

AB - The study of nocturnal bird migration by cone methods of observation has a century-long history but has continued to be used up to the present. To describe the flux and estimate the number of passing birds a probabilistic model is proposed. This model is based on the concept of dynamic Poisson ensemble of points in appropriate phase space and has two parameters. One is scalar and the other one is functional. We constructed consistent estimations of these parameters and discuss their use for the numerical estimation of the flux of birds observed in a narrow light cone generated by the bright lunar disk and formed by an open angle of telescope. Selection on the same type of birds was suggested as the necessary condition for the model application. Ground speed of each bird was introduced into the model as a new but obligatory value determining the quantification of the flux of bird.

KW - Bird migration

KW - Intensity

KW - Poisson ensemble of points

UR - http://www.scopus.com/inward/record.url?scp=33845300594&partnerID=8YFLogxK

U2 - 10.1016/j.mbs.2006.01.001

DO - 10.1016/j.mbs.2006.01.001

M3 - Article

C2 - 16546224

AN - SCOPUS:33845300594

VL - 205

SP - 44

EP - 58

JO - Mathematical Biosciences

JF - Mathematical Biosciences

SN - 0025-5564

IS - 1

ER -

ID: 35997390