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Spatial stochastic models of cancer: Fitness, migration, invasion
Published 2013-03-01Get full text
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Modeling and Stochastic Model Updating of Bolt-Jointed Structure
Published 2018-01-01Get full text
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Stochastic model of economic cycles and its econometric application
Published 2024-12-01Get full text
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Stochastic models for competing species with a shared pathogen
Published 2012-06-01“…We investigate these phenomena while studying the dynamics of deterministic and stochastic models for $n$ competing species with a shared pathogen. …”
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Stochastic Modeling of Internet Service for Profit Optimization in Uganda
Published 2020Get full text
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A Multi-Objective Stochastic Model for an Earthquake Relief Network
Published 2020-01-01Get full text
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Basic stochastic models for viral infection within a host
Published 2012-09-01Get full text
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Stochastic Modeling of Surface Viscoelastic Treatments Combined with Model Condensation Procedures
Published 2010-01-01Get full text
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STOCHASTIC MODELING OF LIVING/CONTROLLED COPOLYMERIZATIONS IN TUBULAR REACTORS WITH LATERAL FEED
Published 2020-06-01Get full text
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An aggregate stochastic model incorporating individual dynamics for predation movements of anelosimus studiosus
Published 2015-01-01Subjects: “…stochastic model…”
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An Efficient Deterministic-Stochastic Model of the Human Body Exposed to ELF Electric Field
Published 2016-01-01“…The paper deals with the deterministic-stochastic model of the human body represented as cylindrical antenna illuminated by a low frequency electric field. …”
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Stochastic modelling of PTEN regulation in brain tumors: A model for glioblastoma multiforme
Published 2015-05-01Subjects: Get full text
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A Mechanistic, Stochastic Model Helps Understand Multiple Sclerosis Course and Pathogenesis
Published 2013-01-01Get full text
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Stochastic Modeling of Rainfall in Peninsular Malaysia Using Bartlett Lewis Rectangular Pulses Models
Published 2011-01-01Get full text
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A New Probability Heavy-Tail Model for Stochastic Modeling under Engineering Data
Published 2022-01-01“…The main aim of the paper is to propose and study a new heavy-tail model for stochastic modeling under engineering data. After studying and analyzing its mathematical properties, different classical estimation methods such as the ordinary least square, Cramér-von Mises, weighted least square, maximum likelihood, and Anderson–Darling estimation along with its corresponding left-tail and right-tail estimation methods are considered. …”
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