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Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB

with solutions to selected exercises Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB(R) is an excellent;

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Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

Quantitative biomedical data analysis is a fast-growing interdisciplinary area of applied and computational mathematics, statistics;

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Methods of Applied Mathematics with a MATLAB Overview

Broadly organized around the applications of Fourier analysis, Methods of Applied Mathematics with a MATLAB Overview covers both classical;

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Methods of Applied Mathematics with a Software Overview

Broadly organized around the applications of Fourier analysis, Methods of Applied Mathematics with a MATLAB Overview covers both classical;

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Partial Differential Equation Analysis in Biomedical Engineering

in biomedical engineering. Taking an applied approach, rather than using abstract mathematics, the reader is instructed through six biomedical example;

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MATLAB Programming for Biomedical Engineers and Scientists

MATLAB Programming for Biomedical Engineers and Scientists, Second Edition provides an easy-to-learn introduction to the fundamentals;

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Data-Driven Computational Methods

Modern scientific computational methods are undergoing a transformative change; big data and statistical learning methods now have the;

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Computer Methods Part A

more precise methods for the analysis of biomedical data. These better analyses have enhanced the conclusions that can be drawn from biomedical;

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Introduction to Pattern Recognition

> It includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples;

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Engineering Mathematics II

in network analysis, data classification, ranking and optimisation. The individual chapters cover both theory and applications, and include a;

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Analysis of Variance for Functional Data

data sets from the text and MATLAB codes for analyzing the data examples are available for download from the author's website.;

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A First Course in Applied Mathematics

provides the needed foundation for transitioning to more advanced subjects. The author utilizes MATLAB(R) to showcase the presented theory and;

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Computer Methods Part B

Methods volumes for the Methods in Enzymology serial, aims to inform biomedical researchers about recent applications of modern data analysis and;

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Computer Methods, Part C

volumes for the Methods in Enzymology serial, aims to inform biomedical researchers about recent applications of modern data analysis and;

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Robust Methods in Biostatistics

emphasis put on practical data analysis. This book is of particular use for research students,applied statisticians and practitioners in the health;

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Applied Categorical and Count Data Analysis

Developed from the authors' graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the;

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Computational Mathematics

Computational Mathematics: Models, Methods, and Analysis with MATLAB (R) and MPI is a unique book covering the concepts and techniques at;

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Signal Processing for Neuroscientists

Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students;

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Analysis Of Longitudinal Data

and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear models for continuous data;

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Practical Biomedical Signal Analysis Using MATLAB (R)

which procedures are appropriate for a given task and different types of data. It begins by describing signal analysis techniques-including the;

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Biomedical Image Analysis Recipes in MATLAB

-contained biomedical experiment to be analysed. Part I of the book presents its two basic ingredients: essential concepts of image analysis and;

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Mathematical Explorations with MATLAB

families of lines, data analysis, random numbers and simulations, and differential equations form the basic mathematics. This is applied to a large;

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Mathematical Explorations with MATLAB

families of lines, data analysis, random numbers and simulations, and differential equations form the basic mathematics. This is applied to a large;

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Mathematical Models in Biomedical Science

, applied statistics or a combination of these are used for solving problems in this field. Mathematical models and methods also form the basis for;

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Computational Learning Approaches to Data Analytics in Biomedical Applications

data analytics, provides a review of influential and state-of-the-art learning algorithms for biomedical applications, reviews cluster validity;

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MATLAB Programming for Biomedical Engineers and Scientists

MATLAB Programming for Biomedical Engineers and Scientists provides an easy-to-learn introduction to the fundamentals of computer;

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Nonparametric Regression Methods For Longitudinal Data Analysis

nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling;

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