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Linear Mixed-Effects Models Using R: A Step-by-Step Approach (Springer Texts in Statistics)
Linear Mixed-Effects Models Using R: A Step-by-Step Approach (Springer Texts in Statistics)

Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a wide range of uses for the models by applied...

Linear Mixed-Effects Models Using R: A Step-by-Step Approach
Linear Mixed-Effects Models Using R: A Step-by-Step Approach
Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data include clustered observations, repeated measurements, longitudinal measurements, multivariate observations, etc.

The aim of our book is to help readers in fitting LMMs using R
...
Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization)
Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization)
Polynomial optimization, as its name suggests, is used to optimize a generic multivariate polynomial function, subject to some suitable polynomial equality and/or inequality constraints. Such problem formulation dates back to the nineteenth century when the relationship between nonnegative polynomials and sum of squares (SOS) was...
Circuit Design for Reliability
Circuit Design for Reliability

This book presents physical understanding, modeling and simulation, on-chip characterization, layout solutions, and design techniques that are effective to enhance the reliability of various circuit units.  The authors provide readers with techniques for state of the art and future technologies, ranging from technology modeling, fault...

Queuing Theory and Telecommunications: Networks and Applications
Queuing Theory and Telecommunications: Networks and Applications

This book is aimed to provide a basic description of current networking technologies and protocols as well as to provide important tools for network performance analysis based on queuing theory. The second edition adds selected contents in the first part of the book for what concerns: (i) the token bucket regulator and traffic shaping issues;...

Risk and Portfolio Analysis: Principles and Methods (Springer Series in Operations Research and Financial Engineering)
Risk and Portfolio Analysis: Principles and Methods (Springer Series in Operations Research and Financial Engineering)

Investment and risk management problems are fundamental problems for  financial institutions and involve both speculative and hedging decisions. A structured approach to these problems naturally leads one to the field of applied mathematics in order to translate subjective probability beliefs and attitudes towards risk and reward into...

Adaptive Filtering: Algorithms and Practical Implementation
Adaptive Filtering: Algorithms and Practical Implementation

In the fourth edition of Adaptive Filtering: Algorithms and Practical Implementation, author Paulo S.R. Diniz presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner. The main classes of adaptive filtering algorithms are presented in a unified framework, using...

Optimization and Data Analysis in Biomedical Informatics (Fields Institute Communications)
Optimization and Data Analysis in Biomedical Informatics (Fields Institute Communications)

​This volume covers some of the topics that are related to the rapidly growing field of biomedical informatics. In June 11-12, 2010 a workshop entitled ‘Optimization and Data Analysis in Biomedical Informatics’ was organized at The Fields Institute. Following this event invited contributions were gathered based on the talks...

Text Mining with MATLAB®
Text Mining with MATLAB®

Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It’s designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications.

The first part provides an introduction...

Advanced Vibrations: A Modern Approach
Advanced Vibrations: A Modern Approach
This book is for designers, partition engineers, and student of engineering. It introduces the fundamental knowledge used in mechanical vibrations. This knowledge can be utilized to develop computer programs for analyzing, designing, and optimization of vibration problems in industrial systems.

Vibrations have been
...
CMOS Integrated Capacitive DC-DC Converters (Analog Circuits and Signal Processing)
CMOS Integrated Capacitive DC-DC Converters (Analog Circuits and Signal Processing)

This book provides a detailed analysis of all aspects of capacitive DC-DC converter design: topology selection, control loop design and noise mitigation. Readers will benefit from the authors’ systematic overview that starts from the ground up, in-depth circuit analysis and a thorough review of recently proposed techniques and design...

Optimal Stochastic Control, Stochastic Target Problems, and Backward SDE (Fields Institute Monographs)
Optimal Stochastic Control, Stochastic Target Problems, and Backward SDE (Fields Institute Monographs)

​This book collects some recent developments in stochastic control theory with applications to financial mathematics. We first address standard stochastic control problems from the viewpoint of the recently developed weak dynamic programming principle. A special emphasis is put on the regularity issues and, in particular, on the behavior...

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