Multivariate Statistical Process Control

One of Ian Hacking's earliest publications, this book showcases his early ideas on the central concepts and questions surrounding statistical reasoning. He explores the basic principles of statistical reasoning and tests them, both at a philosophical level and in terms of their practical consequences for statisticians. Presented in a fresh twenty-first-century series livery, and including a specially commissioned preface written by Jan-Willem Romeijn, illuminating its enduring importance and relevance to philosophical enquiry, Hacking's influential and original work has been revived for a new generation of readers.

This book introduces methods of robust optimization in multivariate adaptive regression splines (MARS) and Conic MARS in order to handle uncertainty and non-linearity. The proposed techniques are impl

This expanded new edition is specifically designed to meet the needs of the process industry, and? closes the gap between theory and practice. ? Back-to-basics approach, with a focus on techniques th

This monograph provides a synthesis of a number of statistical tests and measures, which, at first consideration, appear disjoint and unrelated. Numerous comparisons of permutation and classical stati

This book presents a proposal for designing business process management (BPM) systems that comprise much more than just process modelling.Based on a purified Business Process Model and Notation

This book will provide researchers and graduate students with an overview of the recent developments and applications of process intensification in chemical engineering. It will also allow the readers

Understanding non-equilibrium properties of classical and quantum many-particle systems is one of the goals of contemporary statistical mechanics. Besides its own interest for the theoretical foundati

Numerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics for visualization are the key topics of this book. The Python code examples powered

This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, read

This book critically reflects on current statistical methods used in Human-Computer Interaction (HCI) and introduces a number of novel methods to the reader. Covering many techniques and approach

?The HEP issue on Metabolic Control provides a state-of the art overview over both classical concepts and emerging areas in metabolism and associated disorders. In this context, metabolic control is h

This volume expands on statistical analysis of genomic data by discussing cross-cutting groundwork material, public data repositories, common applications, and representative tools for operating on ge

Motor Control, 5th Edition remains the only book available that bridges the gap between current and emerging motor control research and its application to clinical practice. Written by leading experts

This book features research contributions from The Abel Symposium on Statistical Analysis for High-Dimensional Data, held in Nyvagar, Lofoten, Norway, in May 2014.The focus of the symposium was on sta

Designed for a one-semester introduction to topology at the undergraduate and beginning graduate levels, this text is accessible to students who have studied multivariate calculus. Topics include metr

Designed for researchers and data analysts, this book presents rigorous statistical methods without burdening readers with mathematical theory. Readers see how linear regression and ANOVA can be used

This special issue emerged following the 2013 8th International Statistical Seismology (StatSei8) workshop in Beijing. The articles within have been collected to report on exciting new research in sta

A new structure of local government, the contemporary village panchayat, has emerged in rural India as a consequence of the Constitution (73rd Amendment) Act, 1992. This new statistical domain require

Power Converter with Digital Filter Feedback Control presents a logical sequence that leads to the identification, extraction, formulation, conversion, and implementation for the control function need

Exploring the rich statistical material present in the earliest manuscripts of the Ain-i Akbarithe great official compilation of the Mughal Empirethis book challenges and revises widely held views on

This book presents a framework for the control of networked systems utilizing submodular optimization techniques. The main focus is on selecting input nodes for the control of networked systems, an in

Developing Problem-Solving Skills Through Integrated Design and AnalysisThe purpose of Dorf’s Modern Control Systems, Thirteenth Edition is to present the structure of feedback control theory and to p

Relationship Inference with Familias and R: Statistical Methods in Forensic Genetics discusses the use of Familias and R software to understand genetic kinship of two or more DNA samples. This softwar

In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a coherent account of the statistical theory in infinite-dimensional parameter spaces. The mathematical foundations include self-contained 'mini-courses' on the theory of Gaussian and empirical processes, on approximation and wavelet theory, and on the basic theory of function spaces. The theory of statistical inference in such models - hypothesis testing, estimation and confidence sets - is then presented within the minimax paradigm of decision theory. This includes the basic theory of convolution kernel and projection estimation, but also Bayesian nonparametrics and nonparametric maximum likelihood estimation. In the final chapter, the theory of adaptive inference in nonparametric models is deve

This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data—showi

For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques.Predictive Control describes the development of tractable

The description for this book, Adaptive Control Processes: A Guided Tour, will be forthcoming.

The description for this book, Discontinuous Automatic Control, will be forthcoming.

Media Control: News as an Institution of Power and Social Control challenges traditional (and even some radical) perceptions of how the news works. While it's clear that journalists don't operate obje

The optimization of biological systems requires a thorough understanding of the system and the application of the appropriate mathematical and statistical tools. There are a number of books written by

This accessible introductory textbook provides a straightforward, practical explanation of how statistical analysis and error measurements should be applied in biological research.Understanding Statis

This engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate course

This book provides a comprehensive introduction to the theory of reset control. It draws on the authors’ own research, and that of others, to explore the application of reset control in a variety of s

Ntoumanis and Myers have done sport and exercise science researchers and students a tremendous service in producing An Introduction to Intermediate and Advanced Statistical Analyses for Sport and

This book analyzes the origins of statistical thinking as well as its related philosophical questions, such as causality, determinism or chance. Bayesian and frequentist approaches are subjected to a

This book explores connections between control theory and geometric mechanics. The author links control theory with a geometric view of classical mechanics in both its Lagrangian and Hamiltonian formu

This work for professionals explains basic and advanced aspects of communications-based train control (CBTC), a type of automated control for rail vehicles. In addition to aspects of modeling, design,

Biomechanics and Motor Control: Defining Central Concepts provides a thorough update to the rapidly evolving fields of biomechanics of human motion and motor control with research published in biology

This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory. The appr

Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. This book show