Mathematical Modelling

This book investigates why economics makes less visible progress over time than scientific fields with a strong practical component, where interact...

Mathematical Modeling in Biology: A Research Methods Approach is a textbook written primarily for advanced mathematics and science undergraduate st...

Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational developments have e...

Mathematical Modeling in Biology: A Research Methods Approach is a textbook written primarily for advanced mathematics and science undergraduate st...

Logit Modeling represents a breakthrough for researchers because it offers ways for more efficient estimation of models with multiple categorical ...

This is the first accessible and practical guide to using multilevel models in social research. Multilevel approaches are becoming increasingly ...

What techniques can social scientists use when an outcome variable for a sample (for example, y) is not representative of the population for which ...

This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a...

This book presents a select group of papers that provide a comprehensive view of the models and applications of chaos theory in medicine, biology, ...

Computer simulation is an effective and popular universal tool that can be applied to almost all disciplines. Requiring only basic knowledge of pro...

This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday lan...

Have you been told you need to do multilevel modeling, but you can′t get past the forest of equations? Do you need the techniques explained with wo...

Mathematical Modelling sets out the general principles of mathematical modelling as a means comprehending the world. Within the book, the problems ...

Although scientific models and simulations differ in numerous ways, they are similar in so far as they are posing essentially philosophical problem...

Pulling Rabbits Out of Hats: Using Mathematical Modeling in the Material, Biophysical, Fluid Mechanical, and Chemical Sciences focuses on those ass...

Bringing Bayesian Models to Life empowers the reader to extend, enhance, and implement statistical models for ecological and environmental data ana...

This book synthesizes the game-theoretic modeling of decision-making processes and an ancient moral requirement called the Golden Rule of ethics (G...

Many methods for analyzing clustered data exist, all with advantages and limitations in particular applications. Compiled from the contributions of...

The book presents qualitative results for different classes of fractional equations, including fractional functional differential equations, fracti...

Computational approaches to music composition and style imitation have engaged musicians, music scholars, and computer scientists since the early d...

Population genetics is an inherently quantitative discipline, yet often focuses upon abstract concepts which can be difficult to conceptualize and ...

Mathematical Analysis for Modeling is intended for those who want to understand the substance of mathematics, rather than just having familiarity w...

The topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover, the mo...

Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields i...