المعادلات التفاضلية العادية اللاخطية
الشريحة الجزائية
اويلر للتفريق العددي
شبه المنحرف للتفريق العددي
الانحدار اللامعلمي
الانحدار شبه المعلمي
Nonlinear Ordinary Differential Equations
penalized splines
Euler for Numerical Distraction
Trapezoidal Numerical Distraction
Nonparametric Regression
Semi-Parametric Regression.
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Many of the dynamic processes in different sciences are described by models of differential equations. These models explain the change in the behavior of the studied process over time by linking the behavior of the process under study with its derivatives. These models often contain constant and time-varying parameters that vary according to the nature of the process under study in this We will estimate the constant and time-varying parameters in a sequential method in several stages. In the first stage, the state variables and their derivatives are estimated in the method of penalized splines(p- splines) . In the second stage we use pseudo lest square to estimate constant parameters, For the third stage, the rem
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