Abstract
Methods of multivariate statistics, stochastic processes, and simulation methods are used to identify and assess the risk measures. This paper presents the use of generalized linear models and Markov models to study risks to ships along the approach channel. These models combined with simulation testing are used to determine the time required for continuous monitoring of endangered objects or period at which the level of risk should be verified.
Highlights
Logistic models are arguably one of the most widely used data analysis techniques
This paper presents the use of generalized linear models and Markov models to study risks to ships along the approach channel
In this paper we present the possibility of using the category of ordered logit models to examine threats to vessels
Summary
Logistic models are arguably one of the most widely used data analysis techniques They are the most studied discriminative models [1,2,3]. Logit models appear in a variety of forms in applications in biostatistics, epidemiology, economics, marketing research, and sociology. They are used to model the relationship between covariates and various types of discrete outcomes from the ubiquitous binary logit model for a two-level response to the conditional logit and multinomial (generalized) logit models concerning polytomous responses. An important factor affecting the safety of the vessel is the proper execution of maneuvers, [15]. Weather conditions affect safe performance of ship’s maneuvers during entering the port and berthing, especially the vessels with a big surface exposed to wind.
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