Multivariate Statistical Process Control

This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanc

Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather

This textbook is intended to supplement the classical theory of uni- and multivariate splines and their approximation and interpolation properties with those of fractals, fractal functions, and fract

Pottier (ohysics, Universte Paris Diderot) draws upon her years of graduate teaching for this study of linear irreversible processes within non equilibrium statistical physics. Unlike equilibrium, the

Military command and control is not merely evolving, it is co-evolving. Technology is creating new opportunities for different types of command and control, and new types of command and control are c

Process engineering can potentially provide the means to develop economically viable and environmentally friendly technologies for the production of fuel ethanol. Focusing on a key tool of process eng

David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology. Freedman maintains that many new technical approaches to statistical modeling constitute not progress, but regress. Instead, he advocates a 'shoe leather' methodology, which exploits natural variation to mitigate confounding and relies on intimate knowledge of the subject matter to develop meticulous research designs and eliminate rival explanations. When Freedman first enunciated this position, he was met with scepticism, in part because it was hard to believe that a mathematical statistician of his stature would favor 'low-tech' approaches. But the tide is turning. Many social scientists now agree that statistical technique cannot substitute for good research design and subject matter knowledge. This

Lientz (management, UCLA) combines the principles of business process and change management, process improvement, project management, and IT architecture and systems with strategic information technol

Introduction to Quantum Statistical Mechanics (2nd Edition) may be used as an advanced textbook by graduate students, even ambitious undergraduates in physics. It is also suitable for non experts in p

David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology. Freedman maintains that many new technical approaches to statistical modeling constitute not progress, but regress. Instead, he advocates a 'shoe leather' methodology, which exploits natural variation to mitigate confounding and relies on intimate knowledge of the subject matter to develop meticulous research designs and eliminate rival explanations. When Freedman first enunciated this position, he was met with scepticism, in part because it was hard to believe that a mathematical statistician of his stature would favor 'low-tech' approaches. But the tide is turning. Many social scientists now agree that statistical technique cannot substitute for good research design and subject matter knowledge. This

Modern Predictive Control explains how MPC differs from other control methods in its implementation of a control action. Most importantly, MPC provides the flexibility to act while optimizing—wh

Drawing on his own research over the past 21 years, Anastassiou (mathematical sciences, U. of Memphis, Tennessee) presents univariate and multivariate probabilistic inequalities regarding basic probab

Topics covered include: The fundamentals of business process modeling, including workflow patterns, an in-depth treatment of process flexibility, including approaches to dealing with on-the-fly change

Process safety metrics is a topic of frequent conversation within chemical industry associations. Guidelines for Process Safety Metrics provides basic information on process safety performance indicat

How does democracy work in the new democracies of Eastern Europe? Do the people actually rule as one would expect in a democracy or do the legacies of communism and the constraints of the transition weaken popular control? This book presents a framework for conceptualizing and measuring democratic quality and applies this framework to multiple countries and policy areas in the region. It defines democratic quality as the degree to which citizens are able to hold leaders accountable for their performance and keep policy close to their preferences. Its surprising conclusion, drawn from large-N statistical analyses and small-N case studies, is that citizens exercise considerable control over their rulers in Eastern European democracies. Despite facing difficult economic circumstances and an unfavorable inheritance from communism, these countries rapidly constructed relatively high-quality democracies.

Issues of regulation and control are central to the study of biological and biochemical systems. Thus it is not surprising that the tools of feedback control theory—engineering techniques devel

Issues of regulation and control are central to the study of biological and biochemical systems. Thus it is not surprising that the tools of feedback control theory -- engineering techniques developed

In order to assess the effectiveness of groundwater monitoring devices and their end results, statistical techniques must be employed. Thoroughly updated and expanded, the Second Edition examine

Written by a world-renowned theoretical physicist, Introduction to Statistical Physics, Second Edition clarifies the properties of matter collectively in terms of the physical laws governing atomic mo

Agresti and Finley present statistical methods in a style that emphasizes their concepts and their application to the social sciences rather than the mathematics and computational details behind them.

This exciting reference text is concerned with fluid power control. It is an ideal reference for the practising engineer and a textbook for advanced courses in fluid power control. In applications in which large forces and/or torques are required, often with a fast response time, oil-hydraulic control systems are essential. They excel in environmentally difficult applications because the drive part can be designed with no electrical components and they almost always have a more competitive power/weight ratio compared to electrically actuated systems. Fluid power systems have the capability to control several parameters, such as pressure, speed, position, and so on, to a high degree of accuracy at high power levels. In practice there are many exciting challenges facing the fluid power engineer, who now must preferably have a broad skill set.

Still authoritative. Still definitive. Now focused on the reading process. The Brief Edition of Constance Weaver's classic "Reading Process & Practice" begins with the seemingly simple question "W

The practice of engineering noise control demands a solid understanding of the fundamentals of acoustics, the practical application of current noise control technology and the underlying theoretical c

The practice of engineering noise control demands a solid understanding of the fundamentals of acoustics, the practical application of current noise control technology and the underlying theoretical c

This is a practical book on how to apply statistical methods successfully. The Authors have deliberately kept formulae to a minimum to enable the reader to concentrate on how to use the methods and to

Fuel Cells: Modeling, Control, and Applications describes advanced research results on modeling and control designs for fuel cells and their hybrid energy systems. Filled with simulation examples and

Dynamics of American Political Parties examines the process of gradual change that inexorably shapes and reshapes American politics. Parties and the politicians that comprise them seek control of government in order to implement their visions of proper public policy. To gain control parties need to win elections, and winning elections requires assembling an electoral coalition that is larger than that crafted by the opposition. Uncertainty rules and intra-party conflict rages as different factions and groups within the parties debate the proper course(s) of action and battle it out for control of the party. Parties can never be sure how their strategic maneuvers will play out, and, even when it appears that a certain strategy has been successful, party leaders are unclear about how long apparent success will last. Change unfolds slowly, in fits and starts.

Dynamics of American Political Parties examines the process of gradual change that inexorably shapes and reshapes American politics. Parties and the politicians that comprise them seek control of government in order to implement their visions of proper public policy. To gain control parties need to win elections, and winning elections requires assembling an electoral coalition that is larger than that crafted by the opposition. Uncertainty rules and intra-party conflict rages as different factions and groups within the parties debate the proper course(s) of action and battle it out for control of the party. Parties can never be sure how their strategic maneuvers will play out, and, even when it appears that a certain strategy has been successful, party leaders are unclear about how long apparent success will last. Change unfolds slowly, in fits and starts.

An All-in-One Resource for Using SAS and R to Carry out Common TasksProvides a path between languages that is easier than reading complete documentationSAS and R: Data Management, Statistical Analysis

A Proven Guide for Easily Using R to Effectively Analyze DataLike its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides a guide to data analysis using the R

Praise for the First Edition "This impressive and eminently readable text . . . [is] a welcome addition to the statistical literature." —The Indian Journal of Statistics Revised to reflect the curre

Intelligent control - control based on fuzzy logic and neural networks - has changed the face of industrial control engineering whether in terms of autonomous spacecraft operation, exploratory robots

Computational Optimal Control: Tools and Practice provides a detailed guide to informed use of computational optimal control in advanced engineering practice, addressing the need for a better understa

This book summarises worldwide research activities at laboratory and farm levels to control the poultry red mites. Forty-three experts from 11 countries have been drawn to present new control methods

This is the first book on a hot topic in the field of control of nonlinear systems. It ranges from mathematical system theory to practical industrial control applications and addresses two fundamental

Random variables are rarely independent in practice and so many multivariate distributions have been proposed in the literature to give a dependence structure for two or more variables. In this book,

This book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is accessible to readers with only a basic familiarity with probabilit

A complete, hands-on guide to the use of statistical methods for obtaining reliable and practical survey research Applied Survey Methods provides a comprehensive outline of the complete survey proces

The demands of the modern economic climate have led to a dramatic increase in the industrial application of model-based predictive control techniques. In fact, apart from PID, predictive control is p

A unique resource for process measurement Basic Process Measurements provides a unique resource explaining the industrial measuring devices that gauge such key variables as temperature, pressure, den