Multivariate Statistical Process Control

This handbook shows how to use SAS to create many different types of useful statistical graphics for exploring data and diagnosing fitted models. The book focuses on the relatively new SAS ODS graphic

This text provides both an introduction to and an advanced understanding of statistical modeling of ICU data. It addresses clinical endpoints used in ICU, such as different measures of mortality and t

This book shows how to use statistical computing in survey analysis. It presents a linked set of analyses of European Union statistics on income and living conditions using the statistical environment

Multivariate (MV) analysis of the multi-component analytical profiles of carefully collected biofluid and/or tissue biopsy specimens provides a 'fingerprint' of their biomolecular/metabolic status and

This widely praised book shows how equivalent statistical methods can be applied in either SAS or R, enabling users of each software package to learn how to apply the methods in the other. The book co

Providing full coverage of the basic principles on the subject, Wide Area Power System Monitoring and Control highlights key technologies for monitoring, protection, and control. The strong author tea

This book presents selected papers on statistical model development related mainly to the fields of Biostatistics and Bioinformatics. The coverage of the material falls squarely into the following cat

The book presents a clear and unique approach to statistical thermodynamics based on Shannon' measure of information, and provides applications to problems of interest in the life sciences.There is no

The structural mechanics of proteins that fold into functional shapes, polymers that aggregate and form clusters, and organic macromolecules that bind to inorganic matter can only be understood through statistical physics and thermodynamics. This book reviews the statistical mechanics concepts and tools necessary for the study of structure formation processes in macromolecular systems that are essentially influenced by finite-size and surface effects. Readers are introduced to molecular modeling approaches, advanced Monte Carlo simulation techniques, and systematic statistical analyses of numerical data. Applications to folding, aggregation, and substrate adsorption processes of polymers and proteins are discussed in great detail. Particular emphasis is placed on the reduction of complexity by coarse-grained modeling, which allows for the efficient, systematic investigation of structural phases and transitions. Providing insight into modern research at this interface between physics,

The book aims to give a thorough treatment of statistical process monitoring techniques, in particular control charts. This book is aimed at practitioners with little mathematical and statistical back

This volume of the Selected Papers is a product of the XIX Congress of the Portuguese Statistical Society, held at the Portuguese town of Nazare, from September 28 to October 1, 2011. All contribution

Provides readers with a systematic review of the origins, history, and statistical foundations of PSA and illustrates how it can be used for solving evaluation and causal-inference problems.

Presents new, state-of-the-art sliding mode control (SMC) methodologies for uncertain parameter-switching hybrid systemsSliding Mode Control of Uncertain Parameter-Switching Hybrid Systems presentsnew

This text is for a one semester graduate course in statistical theory and covers minimal and complete sufficient statistics, maximum likelihood estimators, method of moments, bias and mean square erro

Providing an easy explanation of the fundamentals, methods, and applications of chemometrics‧ Acts as a practical guide to multivariate data analysis techniques‧ Explains the methods used in Chemometr

The latest methods for troubleshooting and maintaining process equipment Applicable to a broad range of technicians and industries and fully updated throughout, A Working Guide to Process Equipment,

The focus of this book is on the birth and historical development of permutation statistical methods from the early 1920s to the near present. Beginning with the seminal contributions of R.A. Fisher,

Statistical methods in safety signal detection and data mining play an increasingly important role in the identification, investigation and further confirmation of safety problems that might be attrib

Complete coverage of control processes in distillation, with an emphasis on engineering economics to maximize plant profitsDistillation Control & Optimization: Operation Fundamentals through Softw

"This book uniquely utilizes visualization tools to explain and study statistical learning methods. Covering classification and regression, the book is divided into two parts. First, various visualiza

Significant progress has been made on nonlinear control systems in the past two decades. However, many of the existing nonlinear control methods cannot be readily used to cope with communication and n

This book has been put together to celebrate 50 years of the Committee of Presidents of Statistical Societies (COPSS). COPSS give out four awards each year and they have invited all past recipients of

Mechanics and Model-Based Control of Advanced Engineering Systems collects 32 contributions presented at the International Workshop on Advanced Dynamics and Model Based Control of Structures and Machi

Written for animal researchers, this book provides a comprehensive guide to the design and statistical analysis of animal experiments. It has long been recognised that the proper implementation of these techniques helps reduce the number of animals needed. By using real-life examples to make them more accessible, this book explains the statistical tools employed by practitioners. A wide range of design types are considered, including block, factorial, nested, cross-over, dose-escalation and repeated measures and techniques are introduced to analyse the experimental data generated. Each analysis technique is described in non-mathematical terms, helping readers without a statistical background to understand key techniques such as t-tests, ANOVA, repeated measures, analysis of covariance, multiple comparison tests, non-parametric and survival analysis. This is also the first text to describe technical aspects of InVivoStat, a powerful open-source software package developed by the authors

Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. Randomness arises in communication systems at many levels: for example, the initiation and termination times of calls in a telephone network, or the statistical structure of the arrival streams of packets at routers in the Internet. How can routing, flow control and connection acceptance algorithms be designed to work well in uncertain and random environments? This compact introduction illustrates how stochastic models can be used to shed light on important issues in the design and control of communication networks. It will appeal to readers with a mathematical background wishing to understand this important area of application, and to those with an engineering background who want to grasp the underlying mathematical theory. Each chapter ends with exercises and suggestions for further reading.

This volume aims to collect new ideas presented in the form of 4 page papers dedicated to mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians

"Algebraic Identification and Estimation Methods in Feedback Control Systems presents the model-based algebraic approach to on-line parameter and state estimation in uncertain dynamic feedback control

"Control of Quantum Systems: Theory and Methods provides an insight into the modern approaches to control of quantum systems evolution, with a focus on both closed and open (dissipative) quantum syste

"Control of nonlinear systems is a multidisciplinary field involving electrical engineering, computer science, and control engineering. This book develops a systematic methodology to understand a quan

Zero-knowledge interactive proofs play a central role in the design and study of cryptographic protocols and are rich objects for complexity-theoretic study. Statistical zero-knowledge (SZK) proofs ac

This book reviews current statistical methods for inferring residual life distribution, including inference methods for mean and median, or quantile, residual life analysis through medical data exampl

The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given t

Discrete Control Systems establishes a basis for the analysis and design of discretized/quantized control systems for continuous physical systems. Beginning with the necessary mathematical foundations

This is a text in methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an ade

Cooperative Control of Multi-Agent Systems extends optimal control and adaptive control design methods to multi-agent systems on communication graphs. It develops Riccati design techniques for general

Nonlinear Estimation and Control of Automotive Drivetrains discusses the control problems involved in automotive drivetrains, particularly in hydraulic Automatic Transmission (AT), Dual Clutch Transmi

Comprehensive presentation of the current methods, tools and approaches available to address two-wheeled vehicle modelling, simulation and control design.Modelling, Simulation and Control of Two-Wheel

The 13 self-contained chapters describe recent developments in control theory and applications in active vehicle suspension systems, focusing on reported novel control methods and key challenges. Amon

This volume highlights Prof. Hira Koul’s achievements in many areas of Statistics, including Asymptotic theory of statistical inference, Robustness, Weighted empirical processes and their applications

Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some o