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Dynamical Biostatistical Models

Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data. The book focuses on models;

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Integral Dynamical Models: Singularities, Signals And Control

This volume provides a broad introduction to nonlinear integral dynamical models and new classes of evolutionary integral equations. It may;

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Dynamical Models of Biology and Medicine

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Advances in Dynamical Systems Theory, Models, Algorithms and Applications

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Exercises and Solutions in Biostatistical Theory

at the University of North Carolina, Exercises and Solutions in Biostatistical Theory presents theoretical statistical concepts, numerous;

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Exercises and Solutions in Biostatistical Theory

at the University of North Carolina, Exercises and Solutions in Biostatistical Theory presents theoretical statistical concepts, numerous;

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Biostatistical Methods

. Biostatistical Methods: The Assessment of Relative Risks, Second Edition develops basic concepts and derives an expanded array of biostatistical methods;

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Data Analytic Techniques for Dynamical Systems

issues and analyses pertinent to understanding psychological data from a dynamical system perspective. Dynamical systems analysis (DSA;

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Dynamical Models In Neurocognitive Psychology

behavior. Dynamical models represent a general and flexible approach to cognitive modeling. This introduction focuses on applications of stochastic;

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Dynamical Models In Neurocognitive Psychology

behavior. Dynamical models represent a general and flexible approach to cognitive modeling. This introduction focuses on applications of stochastic;

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Data Analytic Techniques for Dynamical Systems

issues and analyses pertinent to understanding psychological data from a dynamical system perspective. Dynamical systems analysis (DSA;

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Biostatistical Applications Health Excel

Workbook to accompany Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel practical and;

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Interate Maps on the Interval As Dynamical Systems

Iterations of continuous maps of an interval to itself serve as the simplest examples of models for dynamical systems. These models present;

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Dynamical Processes in Generalized Continua and Structures

This book presents a collection of chapters on the current problems of the theory of dynamical processes in generalized continua and;

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Advanced Models of Neural Networks

examines their stability properties with the use of dynamical systems theory. It is suitable for researchers and postgraduate students engaged;

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Analysis and Control of Polynomial Dynamic Models with Biological Applications

descriptors for smooth nonlinear systems and can represent all important dynamical phenomena that are present in biological (and also in general;

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Advances in Discrete Dynamics

Discrete dynamical systems, the main topic of this book, have had a fast development due to the development of computer science;

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Advances in Discrete Dynamics

Discrete dynamical systems, the main topic of this book, have had a fast development due to the development of computer science;

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Difference Equations, Discrete Dynamical Systems and Applications

, discrete dynamical systems, fractal geometry, difference equations and biomedical models, and discrete models in the natural sciences, social;

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Nonlinear Dynamical Systems with Self-Excited and Hidden Attractors

This book highlights the latest findings on nonlinear dynamical systems including two types of attractors: self-excited and hidden;

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Models and Applications of Chaos Theory in Modern Sciences

dynamical systems modeling the several phenomena in nature and society-highlighting powerful techniques being developed to meet these challenges;

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Models and Applications of Chaos Theory in Modern Sciences

dynamical systems modeling the several phenomena in nature and society-highlighting powerful techniques being developed to meet these challenges;

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Formal Methods for Dynamical Systems

dynamical systems and covered several topics including chaotic dynamics; information theory; systems biology; hybrid systems; quantum computing; and;

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Turbulence and Shell Models

Turbulence is a huge subject of ongoing research. This book bridges the modern development in dynamical systems theory and the theory;

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Analysis of Observed Chaotic Data

measurements of one or more variables through the steps of building models of the source as a dynamical system, classifying the source by its dynamical;

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Biostatistical Methods in Epidemiology

An introduction to classical biostatistical methods in epidemiology, Biostatistical Methods in Epidemiology provides an introduction to a;

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Biostatistical Design and Analysis Using R

a textbookfor biologists learning statistics, R, or both. An abridgeddescription of biostatistical principles and analysis sequence keysare;

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