The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

Examines point and confidence interval estimation. Principles of maximum likelihood, sufficiency, and completeness; tests of simple and composite hypotheses, linear models, and multiple regression ...

Deputy Director of the DSI-NRF Centre of Excellence in Mathematical and Statistical Sciences and Senior Lecturer in the School of Computer Science and Applied Mathematics, University of the ...

Examines point and confidence interval estimation. Principles of maximum likelihood, sufficiency, and completeness: tests of simple and composite hypotheses, linear models, and multiple regression ...

Graduates of RIT’s mathematical modeling Ph.D. program gain the expertise to apply modeling tools across diverse fields, contribute innovative solutions to complex interdisciplinary problems, and ...

Mathematical modelling has long provided critical insights into the complex interactions between predators and their prey. Traditional approaches, such as the Lotka–Volterra model, lay the foundation ...