of Wisconsin-Madison) and Wichern (Texas A&M U.) present the newest edition of this college text on the statistical methods for describing and analyzing multivariate data, designed for students who have taken two or more statistics courses. The fifth edition includes the addition of seve

    All chapters are supplemented by thought-provoking problems. A useful work for graduate-level students with backgrounds in computer science, operations research, and electrical engineering. "Mathematicians wishing a self-contained introduction need look no further." — American Mathematical Monthly.

    The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

    Most important, it provides a wealth of examples for readers to model for everything from online journal articles to supplemental data sets and measurement instruments to books, videos, apps, websites, podcasts, blog posts, and social media. Approximately 70 examples are provided for readers to consider as they learn how to create reliable references for electronic sources.Students and other writers will find this guide indispensable as well as convenient to download and use when creating a reference list.

    Can you imagine Draupadi in a Brothel house? How did she end there and who is responsible for that? Read this short story to meet her and know about her life.

    Its broad appeal lies in its interactive environment with hundreds of built-in functions for technical computation, graphics, and animation. In addition, it provides easy extensibility with its own high-level programming language. Enhanced by fun and appealing illustrations, Getting Started with MATLAB 7: A Quick Introduction for Scientists and Engineers employs a casual, accessible writing style that shows users how to enjoy using MATLAB.

    Written for a senior-level course, this engineering textbook presents the concepts of feedback control system theory as they have been developed in the frequency and time domains, discussing such topics as robust control systems, state variable models, computer control systems, internal model contro

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    Offering an approach with a visual/graphical emphasis, this text offers a number of examples on the premise that students learn best by doing. This book features an emphasis on interpretation of results and critical thinking over calculations.

    It's not intended to replace manufacturer's or user's manuals, but rather complements and expands on the information contained in these materials. All topics are covered in small segments. Students systematically carry out a wide range of generic programming exercises and assignments. All of the information about PLCs has been updated.

    She claimed the police had inserted a stick inside her… Swaranpreet realised that she had been cruelly violated; He spoke a single sentence but repeated it twice in chaste Punjabi: ‘Please give me a turban? I want nothing else…’ These are voices begging for deliverance in the aftermath of Indira Gandhi’s assassination in October-November 1984 in which 2,733 Sikhs were killed, burnt and exterminated by lumpens in the country. Nilanjan Mukhopadhyay walks us through one of the most shameful episodes of sectarian violence in post Independent India and highlights the apathy of subsequent governments towards Sikhs who paid a price for what was clearly a state-sponsored riot. Poignant, raw and most importantly, macabre, the personal histories in the book reveal how even after three decades, a community continues to battle for its identity in its own country.

    Williams ** An armed assault force raids the marble halls of the British Museum. The target – the most heinous relic of all time – the last surviving coin of the blood money paid to Judas Iscariot for his betrayal of Christ.For over a thousand years the cursed pieces of silver cut a swath of famine, pestilence and ruinous destruction wherever they were carried. To save humanity from the malevolent power of the coins, the Knights Templar were given a Papal Blessing and sent on a pilgrimage to the holy lands to find and hide the thirty pieces of silver.A sinister organization has unlocked a chilling secret—the ability to control the power of the coin and use it as a terrifying weapon, posing the greatest threat to mankind in history.Sanford Carter, antiquities thief and ladies’ man, has been ensnared by the secret service and forced to execute a daring burglary on their behalf. His mission is simple – steal the coin first.Sarah Hudson, the studious and law-abiding archaeologist who doesn’t believe in curses, only science, is in the wrong place at the wrong time and refuses to hand over the coin or allow Carter to get away with his bold crime.With ruthless dark forces closing in, the brazen thief and the scholarly archaeologist must unlock the hidden history of the coin if they are to safeguard humanity from its evil curse.From the cobbled streets of London to the spectacular volcanic landscapes of Iceland, The Judas Conspiracy sets a cracking pace from the start and never lets up. For fans of James Rollins, Matthew Reilly, Michael C. Grumley, A.G. Riddle, Rob Jones, Matt Rogers, James D. Prescott, Brad Thor, Douglas E. Richards, Clive Cussler and David Baldacci

    Harrowing and heroic, the events of D-Day were recorded in the personal writings of those who were there. Here, Francis Crosby has compiled a comprehensive collection of previously unpublished letters, diaries, photographs, and reminiscences that tell the story of D-Day as it has never been told before.With the use of new international archives, Crosby has culled vivid and detailed eye-witness accounts from each beach, as well as perspectives from land, sea, and air. This fascinating collection includes entries from American, British, and Canadian troops, the Merchant Navy and the Royal Air Force, and newly available German materials. Also included are contemporary and retrospective reactions of women "in the know" and those whom knew from "unofficial sources" of the immediate imminence of the assault.

    Readers learn how to create control systems that support today's advanced technology and apply the latest computer methods to the analysis and design of control systems. * A methodology with clearly defined steps is presented for each type of design problem. * Continuous design examples give a realistic view of each stage in the control systems design process. * A complete tutorial on using MATLAB Version 5 in designing control systems prepares readers to use this important software tool.

    It gives clear descriptions of linear systems and uses mathematics not only to prove axiomatic theory, but also to enhance physical and intuitive understanding.