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Statistical Modelling of the Wind Load on a Structure in Kazan, Russian Federation
AbstractIn this article we apply the normal, truncated normal, and Weibull distributions for modelling the annual extreme wind load obtained from the...
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Introduction to Statistical Inference
Chapter 9 : This chapter introduces the basic concepts of statistical inference and statistical modelling....
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Nonlinear Regression Modelling: A Primer with Applications and Caveats
Use of nonlinear statistical methods and models are ubiquitous in scientific research. However, these methods may not be fully understood, and as...
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Predictive modelling of critical variables for improving HVOF coating using gamma regression models
Thermal spray coating is a critical process in many industries, involving the application of coatings to surfaces to enhance their functionality....
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Regressive Class Modelling for Predicting Trajectories of COVID-19 Fatalities Using Statistical and Machine Learning Models
The COVID-19 (SARS-CoV-2 virus) pandemic has led to a substantial loss of human life worldwide by providing an unparalleled challenge to the public...
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Modelling as a process
Broadly speaking, models are representations of something concrete or not. In science, models have always a purpose related to understanding and...
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Zagreb connection indices in structure property modelling
One of the major branches of mathematical chemistry is the chemical graph theory that employs graph invariants to demonstrate chemical phenomena...
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Comparison of Joint Modelling and Landmarking Approaches for Dynamic Prediction Using Bootstrap Simulation
Prediction models for clinical outcomes can greatly help clinicians with early diagnosis, cost-effective management and primary prevention of many...
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Statistical Approaches for Forecasting Air pollution: A Review
With the rapid growth of energy consumption, acceleration of industrialization and urbanization, and the emission of automobile and industrial...
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Modelling Radiation Cancer Treatment with a Death-Rate Term in Ordinary and Fractional Differential Equations
Fractional calculus has recently been applied to the mathematical modelling of tumour growth, but its use introduces complexities that may not be...
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Statistical Approach to the Gompertz Growth Model and the Underlying Timescales
The Gompertz growth model is one of the most established paradigms in biology. It is widely used to describe the growth of bacteria and tumour cell...
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Confirmatory Factor Analysis with Structural Equation Modelling
Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) are two commonly used statistical techniques in psychology and social...
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Predicting Radiotherapy Patient Outcomes with Real-Time Clinical Data Using Mathematical Modelling
Longitudinal tumour volume data from head-and-neck cancer patients show that tumours of comparable pre-treatment size and stage may respond very...
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Statistical Inference for Multicomponent System Stress-Strength Model with Bounded Strengths
In this paper, the statistical inference for system stress-strength reliability with bounded strength is discussed. When the stress and strength...
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A Statistical Mechanics Approach to Describe Cell Reorientation Under Stretch
Experiments show that when a monolayer of cells cultured on an elastic substratum is subject to a cyclic stretch, cells tend to reorient either...
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Statistical Solution for the Nonlocal Discrete Nonlinear Schrödinger Equation
In this article, we consider the nonlocal discrete nonlinear Schrödinger equation. We first prove that the associated process has a pullback-
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On the Parameter Significance in Pandemic Modelling
In the present work the pertinent question of what is the best parameter choice in a mathematical pandemic model for time evolution simulations and...
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Statistical Analysis of Two-Compartment Pharmacokinetic Models with Drug Non-adherence
Poor drug adherence is considered one of major barriers to achieving the clinical and public health benefits of many pharmacotherapies. In the...
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Statistical Inferences in a Partially Linear Model with Autoregressive Errors
In this paper, we consider the statistical inferences in a partially linear model when the model error follows an autoregressive process. A two-step...
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Biomolecular Topology: Modelling and Analysis
With the great advancement of experimental tools, a tremendous amount of biomolecular data has been generated and accumulated in various databases....