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The dissertation examines social referrals via personal communication tools in thee empirical studies from diverse perspectives. In addition to the theoretical findings, the results from this disse...

Das Ziel der vorliegenden Arbeit ist es, die Modellerzeugung für Fermentationen mit Mikroorganismen zu automatisieren und somit zu erleichtern. Mit Hilfe der hierfür entwickelten Methoden und des P...

The subsequent paper explores some "special" theoretical univariate continuous probability distribution types. "Special" or 'strange' in the sense that not all statistical moments (such as means, v...

The following paper addresses some "strange" mathematical functions in a quite informal fashion. "Strange", because some of them are for example: ocontinuous everywhere, yet not differentiable anyw...

The subsequent note provides an analysis with respect to some oddities regarding the Iman-Conover method. Specifically it will be demonstrated that the use of this method for the generation of mult...

The choice of a programming language is a critical decision in software development, as it impacts code quality, performance, maintainability, and scalability. This paper provides an analysis of 23...

Understanding how random variables transform under arithmetic operations is a foundational problem in probability theory. Of particular interest is the difference operation, where for two independe...

The behavior of random variables under multiplicative combination is a topic of significance in diverse fields such as signal processing, finance, hydrology, wireless communications, Bayesian stati...

In probability theory and statistics, functions of random variables play a central role in modeling, simulation, and inference. While the addition and multiplication of random variables are often w...

The summation of random variables is central in probability theory and statistical modeling. Understanding how the sum of independent univariate distributions results in another known distribution ...

In modern software engineering, the selection of an appropriate programming language is not merely a technical choice but a strategic decision that influences system architecture, development metho...

To improve the performance of R programs, it is essential to optimize runtime and / or memory usage. In this study, the following performance optimization methods are focused on: oVectorization oUs...

Mathematical modeling constitutes a central pillar of modern science, providing indispensable tools for analyzing, predicting and optimizing complex real-world systems across a wide array of discip...

Numerical simulations are a cornerstone of modern scientific inquiry and technological development. They enable researchers to analyze complex systems that are analytically intractable or experimen...

R and Python are two of the most widely used programming languages for data science, machine learning, and statistical computing. In many scenarios, it is beneficial to integrate Python functionali...