移民出生死亡过程研究

IF 0.5 Q4 ECONOMICS
Shin K.-S., N. Viswanath
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引用次数: 0

摘要

生-死过程应用于许多生物种群的建模,例如肿瘤细胞和病毒。各种研究已经确定,在许多情况下,当人口规模为零时发生的出生-死亡过程与现实不符。因此,在本研究中,研究了移民的出生-死亡过程。我们考虑了两项移民政策。首先,当且仅当人口规模为零时允许移民。其次,无论人口规模大小,都允许以恒定的速度移民。出生率和死亡率的选择使得当移民率为零时,平均人口规模是一个Gompertz函数。得到了两种情况下的暂态种群大小概率。使用上述模型的平均人口规模和无移民的标准出生-死亡模型拟合了几个肿瘤生长数据集。与没有移民的模型相比,有移民的两个模型提供了在任意时期人口规模为零的完全不同的概率。此外,这三种模型都提供了与数据相似的拟合。对于研究的每一个数据集,允许移民的模型比不允许移民的模型产生的方差更小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of Birth-Death Processes with Immigration
Birth-death processes are applied in the modelling of many biological populations, such as tumour cells and viruses. Various studies have established that birth-death processes, which occurwhen the population size is zero, are not in-line with reality in many situations. Therefore, in this study, the birth-death processes with immigration were investigated. We considered two immigration policies. First, immigration is allowed if and only if the population size is zero. Second, immigration at a constant rate is allowed irrespective of the population size. Birth and death rates were chosen such that the mean population size is a Gompertz function when the immigration rate is zero. The transient population size probability was obtained for both cases. Several tumour growth datasets were fitted using the mean population size of the above models and standard birth-death model without immigration. The two models with immigration provided entirely different probabilities of the population size being zero at an arbitrary epoch when compared with the model without immigration. Moreover, all three models provided a similar fit to the data. For each of the datasets studied, the models that allowed immigration produced less variance than the non-immigration model.
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
5
审稿时长
22 weeks
期刊介绍: Croatian Operational Research Review (CRORR) is the journal which publishes original scientific papers from the area of operational research. The purpose is to publish papers from various aspects of operational research (OR) with the aim of presenting scientific ideas that will contribute both to theoretical development and practical application of OR. The scope of the journal covers the following subject areas: linear and non-linear programming, integer programing, combinatorial and discrete optimization, multi-objective programming, stohastic models and optimization, scheduling, macroeconomics, economic theory, game theory, statistics and econometrics, marketing and data analysis, information and decision support systems, banking, finance, insurance, environment, energy, health, neural networks and fuzzy systems, control theory, simulation, practical OR and applications. The audience includes both researchers and practitioners from the area of operations research, applied mathematics, statistics, econometrics, intelligent methods, simulation, and other areas included in the above list of topics. The journal has an international board of editors, consisting of more than 30 editors – university professors from Croatia, Slovenia, USA, Italy, Germany, Austria and other coutries.
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