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Forecasting student admissions,graduations, and numbers in institutions of vocational education
Authors:E A Pitukhin  A A Semenov
Institution:1.Petrozavodsk State University,Petrozavodsk,Russia
Abstract:This article presents a mathematical model for long-term high-precision forecasting based on statistical data on student admissions, graduations, and numbers in institutions of vocational education for the period until 2020.
Keywords:
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