Abstract
Subject of research: the problem of estimating the parameters of a simple nested piecewise linear regression with a linear component. Purpose of research: to apply an effective linear-Boolean programming apparatus to solve this problem. Methods and objects of research: the object of research is the minimization of approximation errors of simple nested piecewise linear regression with a linear component, methods – linear regression analysis and mathematical programming apparatus. Main results of research: an approach to determining parameter estimates for simple nested piecewise linear regression with a linear component is described using the least modulus method, which allows us to reduce this problem to a linear-Boolean programming problem. A numerical example has been solved.
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