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Journals / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2020 / Cilt: 38 - Sayı: 3

ANALYSIS OF RANDOM DISCRETE TIME LOGISTIC MODEL

Mehmet MERDAN
Şeyma ŞİŞMAN
Pages
1269–1298
Publication Date
2021-10-05
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Then, the results showing random numerical characteristics such as expected value, variance, standard deviation, coefficient of variation and confidence intervals were obtained with MATLAB package program.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the behavior of the logistic difference model is investigated under random conditions using discrete probability distributions.
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Key Findings & Data:The logistic difference model consists of parameters that depend on the population models to be used.
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Conclusion & Impact:Then, the results showing random numerical characteristics such as expected value, variance, standard deviation, coefficient of variation and confidence intervals were obtained with MATLAB package program.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Logistic difference equation · probability distributions · expected value

Abstract

In this study, the behavior of the logistic difference model is investigated under random conditions using discrete probability distributions. The logistic difference model consists of parameters that depend on the population models to be used. For the study of random difference equation population models, the parameters are treated as random variables which constitutes the basis of the study. Random models were created using Uniform, Bernouilli, Binom, Negative Binomial (or Pascal), Geometric, Hypergeometric, Poisson distributions and their numerical characteristics are obtained through their simulations. Then, the results showing random numerical characteristics such as expected value, variance, standard deviation, coefficient of variation and confidence intervals were obtained with MATLAB package program. Analysis of random logistic difference model is given with the help of graphics and tables.

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Cite This Article

MERDAN, M., ŞİŞMAN, Ş. (2021). ANALYSIS OF RANDOM DISCRETE TIME LOGISTIC MODEL. Sigma Mühendislik ve Fen Bilimleri Dergisi, Cilt: 38 - Sayı: 3, 1269–1298. https://ajindex.com/articles/419071

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