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Inverse Limits: From Continua to Chaos (Developments in Mathematics)
Inverse Limits: From Continua to Chaos (Developments in Mathematics)

Inverse limits provide a powerful tool for constructing complicated spaces from simple ones. They also turn the study of a dynamical system consisting of a space and a self-map into a study of a (likely more complicated) space and a self-homeomorphism. In four chapters along with an appendix containing background material the authors...

Statistics for Bioengineering Sciences: With MATLAB and WinBUGS Support (Springer Texts in Statistics)
Statistics for Bioengineering Sciences: With MATLAB and WinBUGS Support (Springer Texts in Statistics)

Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing engineering fields, bioengineering and biomedical engineering, while implementing software that engineers are familiar with.

The author integrates introductory statistics for engineers and  introductory...

R Statistical Application Development by Example Beginner's Guide
R Statistical Application Development by Example Beginner's Guide

"R Statistical Application Development by Example Beginner’s Guide" explores statistical concepts and the R software, which are well integrated from the word go. This demarcates the separate learning of theory and applications and hence the title begins with “R Statistical …”. Almost every concept has an R...

Applied Logistic Regression (Wiley Series in Probability and Statistics)
Applied Logistic Regression (Wiley Series in Probability and Statistics)

 A new edition of the definitive guide to logistic regression modeling for health science and other applications

This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship...

Data Mining and Statistics for Decision Making
Data Mining and Statistics for Decision Making
Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify...
Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications
Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications
A hands-on guide to making valuable decisions from data using advanced data mining methods and techniques

This second installment in the Making Sense of Data series continues to explore a diverse range of commonly used approaches to making and communicating decisions from data. Delving into more technical topics, this book equips...

The Essence of Multivariate Thinking: Basic Themes and Methods (Multivariate Applications)
The Essence of Multivariate Thinking: Basic Themes and Methods (Multivariate Applications)
The Essence of Multivariate Thinking is intended to make multivariate statistics more accessible to a wide audience. To encourage a more thorough understanding of multivariate methods, author Lisa Harlow suggests basic themes that run through most statistical methodology. The most pervasive theme is multiplicity. The author argues that the...
College Algebra in Context (4th Edition)
College Algebra in Context (4th Edition)
College Algebra in Context is designed for a course in algebra that is based on data analysis, modeling, and real-life applications from the management, life, and social sciences. The...
 
   
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