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Mathematical Models in the Health Sciences

Mathematical Models in the Health Sciences was first published in 1979.This book, designed especially for use in graduate courses in the;

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Mathematical Modelling in Health, Social and Applied Sciences

-sciences, health, and social issues. It includes topics such as model on viral immunology, stochastic models for the dynamics of influenza, model;

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Mathematical Modeling in the Social and Life Sciences

program. The text introduces the student to a number of important mathematical topics and to a variety of models in the social sciences, life;

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Mathematical Models in the Social Sciences

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Mathematical Models in the Social Sciences

with this volume, and the MIT Press has repsonded by bringing it into renewed circulation. Mathematical Models in the Social Sciences;

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Mathematical Sciences and Their Applications: Recent Advances

Discusses the theoretical and application oriented problems in mathematics and mathematical sciences namely mathematical modelling;

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Mathematical Understanding Of Infectious Disease Dynamics

The Institute for Mathematical Sciences at the National University of Singapore hosted a research program on Mathematical Modeling;

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Mathematical Models of Social Evolution - A Guide for the Perplexed

Over the last several decades, mathematical models have become central to the study of social evolution, both in biology and the social;

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Mathematical Models of Social Evolution - A Guide for the Perplexed

Over the last several decades, mathematical models have become central to the study of social evolution, both in biology and the social;

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Mathematical Methods and Modelling in Applied Sciences

This book presents a collection of original research papers from the 2nd International Conference on Mathematical and Related Sciences;

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Mathematical Modelling

Mathematical models are used not only in the natural sciences and engineering disciplines, but also in the social sciences. This book;

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Mathematical Models in the Applied Sciences

Mathematical modelling is the basis of almost all applied mathematics. A 'real-world' problem is dissected and phrased in a mathematical;

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Mathematical Modeling in Social Sciences & Engineering

This book is devoted to the power of mathematical modelling to give an answer to a broad diversity of real problems including medicine;

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Limit Theorems in Change-Point Analysis

Change-point problems arise in a variety of experimental and mathematical sciences, as well as in engineering and health sciences. This;

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Mathematical Systems

Mathematical systems are models of analysis and measurement of dynamic variables for applications in natural sciences and engineering;

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Building And Solving Mathematical Programming Models In Engineering And Science

Modeling is one of the most appealing areas in engineering and applied sciences. Engineers need to build models to solve real life problems;

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Mixture Modelling for Medical and Health Sciences

& Mathematical Sciences at the Nanyang Technological University, Singapore. Her research interests include survival analysis, longitudinal/clustered data;

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Mixture Modelling for Medical and Health Sciences

. Liming Xiang is Associate Professor of Statistics in the School of Physical & Mathematical Sciences at the Nanyang Technological University;

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Mathematical Modeling

Mathematical Modeling: Branching Beyond Calculus reveals the versatility of mathematical modeling. The authors present the subject in an;

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Mathematical Modeling

Mathematical Modeling: Branching Beyond Calculus reveals the versatility of mathematical modeling. The authors present the subject in an;

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Mathematical and Statistical Methods for Actuarial Sciences and Finance

This volume aims to collect new ideas presented in the form of 4 page papers dedicated to mathematical and statistical methods in actuarial;

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Mathematical and Statistical Methods for Actuarial Sciences and Finance

This volume aims to collect new ideas presented in the form of 4 page papers dedicated to mathematical and statistical methods in actuarial;

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Mathematical Models for Society and Biology

this edition is an introduction to mathematical notions that every quantitative scientist in the biological and social sciences should know;

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Models & Methods for Supporting Decision-Making in Human Health & Environment Protection

dealing with psychometric, social, biomedical, and pedagogical sciences. The first five chapters address statistic issues applied to human health;

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Modelling Mathematical Methods and Scientific Computation

in applied sciences and related mathematical and computational methods. After providing the general framework needed for mathematical modelling;

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Computational and Mathematical Modeling in the Social Sciences

Mathematical models in the social sciences have become increasingly sophisticated and widespread in the last decade. This period has also;

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Statistical, Mapping and Digital Approaches in Healthcare

Statistical, Mapping and Digital Approaches in Healthcare addresses all health territories, starting from the analysis of geographical data;

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