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Finite Element Modeling for Materials Engineers Using MATLAB®
Finite Element Modeling for Materials Engineers Using MATLAB®

The finite element method is often used for numerical computation in the applied sciences. It makes a major contribution to the range of numerical methods used in the simulation of systems and irregular domains, and its importance today has made it an important subject of study for all engineering students.
 
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Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health (Use R!)
Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health (Use R!)
As an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to - vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas. The stat- tical analyses aimed at addressing...
Python for Graph and Network Analysis (Advanced Information and Knowledge Processing)
Python for Graph and Network Analysis (Advanced Information and Knowledge Processing)

This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego,...

Excel 2016 for Marketing Statistics: A Guide to Solving Practical Problems (Excel for Statistics)
Excel 2016 for Marketing Statistics: A Guide to Solving Practical Problems (Excel for Statistics)

This is the first book to show the capabilities of Microsoft Excel in teaching marketing statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical marketing problems. If understanding statistics isn’t your strongest suit, you are not especially...

Solving Nonlinear Partial Differential Equations with Maple and Mathematica
Solving Nonlinear Partial Differential Equations with Maple and Mathematica

The emphasis of the book is given in how to construct different types of solutions (exact, approximate analytical, numerical, graphical) of numerous nonlinear PDEs correctly, easily, and quickly. The reader can learn a wide variety of techniques and solve numerous nonlinear PDEs included and many other differential equations, simplifying...

Fundamentals of Data Mining in Genomics and Proteomics
Fundamentals of Data Mining in Genomics and Proteomics

This book presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. It adopts an approach focusing on concepts and applications and presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying...

Learning Analytics in R with SNA, LSA, and MPIA
Learning Analytics in R with SNA, LSA, and MPIA

This book introduces Meaningful Purposive Interaction Analysis (MPIA) theory, which combines social network analysis (SNA) with latent semantic analysis (LSA) to help create and analyse a meaningful learning landscape from the digital traces left by a learning community in the co-construction of knowledge.    

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Information Technology Solutions for Healthcare (Health Informatics)
Information Technology Solutions for Healthcare (Health Informatics)

In-depth study of internet-enhanced healthcare services

Complete and thorough survey of the most promising e-health technologies

Presents numerous real world examples

Emphasis on international health-informatics topics, such as better access of states / countries to modern e-health technologies developed by...

Mucosal Immunology and Virology
Mucosal Immunology and Virology

An understanding of virus infection and the underlying role of the immune system in protection against these diseases is vital in today’s medical climate. Previously, only symptoms could be treated, as there were no antiviral therapies. The increasing amounts of research and the huge number of discoveries of immunologic agents and...

Fundamentals of Clinical Research: Bridging Medicine, Statistics and Operations (Statistics for Biology and Health)
Fundamentals of Clinical Research: Bridging Medicine, Statistics and Operations (Statistics for Biology and Health)

Here is a new book on methods and issues in clinical research. Its objectives can be summarized in three points. 1. Integrate medical and statistical components of clinical research. 2. Do justice to the operational and practical requirements of clinical research. 3. Give space to the ethical implications of methodological issues in clinical...

Hepatitis Delta Virus (Current Topics in Microbiology and Immunology)
Hepatitis Delta Virus (Current Topics in Microbiology and Immunology)

Hepatitis delta virus (HDV), which causes severe acute and chronic liver disease, was discovered nearly 30 years ago following the detection of a novel antigen-antibody system in hepatitis B virus carriers. HDV has continued to surprise and fascinate medical science ever since. This volume reviews recent developments in HDV research, from...

Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics)
Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics)

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices encountered in statistics, such as projection matrices and...

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