Nüfus artışının tahminlenmesi: Yeni bir bakış açısı

Öz

Bu makalede, araştırmacılar büyüme denklemini spline enterpolasyonu yoluyla değiştirerek nüfus artışını tahmin etmek için yeni bir yöntem geliştirmiş ve bunu 1935'ten 2025'e kadar olan dönemi kapsayan TSI verilerini kullanarak test etmişlerdir. Bu makale, kesikli verilerden sürekli verilere geçişin bir uygulamasını içermesi açısından önemlidir. Son olarak, diferansiyel denklemi çözmek için doğrusal spline enterpolasyonu kullanılmış ve elde edilen bulgular Mesterton-Gibbons yöntemiyle elde edilenlerle karşılaştırılmıştır.

Anahtar Kelimeler

• Büyüme denklemi
• lojistik büyüme modeli
• nüfus artışı
• spline enterpolasyonu

Estimating Population Growth: A Novel Perspective

Öz

In this paper, by modifying the growth equation via spline interpolation, the researchers developed a new method to estimate population growth and tested it using TSI data covering the period from 1935 to 2025. This paper is significant for including an application of the transition from discrete to continuous data. Finally, linear spline interpolation was used to solve the differential equation, and the resulting findings were compared with those obtained using Mesterton-Gibbons’ method.

Anahtar Kelimeler

• growth equation
• logistic growth model
• population growth
• spline interpolation

Kaynakça

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