Michael Baron

Praise for the Second Edition:"The author has done his homework on the statistical tools needed for the particular challenges computer scientists encounter... [He] has taken great care to select examples that are interesting and practical for computer scientists. ... The content is illustrated with numerous figures, and concludes with appendices and an index. The book is erudite and … could work well as a required text for an advanced undergraduate or graduate course." ---Computing ReviewsProbability and Statistics for Computer Scientists, Third Edition helps students understand fundamental concepts of Probability and Statistics, general methods of stochastic modeling, simulation, queuing, and statistical data analysis; make optimal decisions under uncertainty; model and evaluate computer systems; and prepare for advanced probability-based courses. Written in a lively style with simple language and now including R as well as MATLAB, this classroom-tested book can be used for one- or two-semester courses. Features: Axiomatic introduction of probability Expanded coverage of statistical inference and data analysis, including estimation and testing, Bayesian approach, multivariate regression, chi-square tests for independence and goodness of fit, nonparametric statistics, and bootstrap Numerous motivating examples and exercises including computer projects Fully annotated R codes in parallel to MATLAB Applications in computer science, software engineering, telecommunications, and related areasIn-Depth yet Accessible Treatment of Computer Science-Related TopicsStarting with the fundamentals of probability, the text takes students through topics heavily featured in modern computer science, computer engineering, software engineering, and associated fields, such as computer simulations, Monte Carlo methods, stochastic processes, Markov chains, queuing theory, statistical inference, and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET). About the Author Michael Baron is David Carroll Professor of Mathematics and Statistics at American University in Washington D. C. He conducts research in sequential analysis and optimal stopping, change-point detection, Bayesian inference, and applications of statistics in epidemiology, clinical trials, semiconductor manufacturing, and other fields. M. Baron is a Fellow of the American Statistical Association and a recipient of the Abraham Wald Prize for the best paper in Sequential Analysis and the Regents Outstanding Teaching Award. M. Baron holds a Ph. D. in statistics from the University of Maryland. In his turn, he supervised twelve doctoral students, mostly employed on academic and research positions.

This volume represents a NEW SCIENCE, an actual integration of the physical (i.e., evolutionary biology) sciences and the social sciences (psychology, sociology, and economics) through mathematical and falsifiable proofs. The Science of the Self is the type of break through that has been demanded ever since Cosmides, Tooby and Barkow wrote their "step-by-step" guide for "integrating evolutionary biology with psychology, and psychology with cultural phenomena" in 1989 an achievement like science of the Self has been a conceptual possibility but not a probability. In fact it has taken the authors 15 years and $1.5 million, including 5 prior volumes of documented discovery along the way, to reach the point of declaring an actual science. The first chapter of the book begins by listing the six elements required for establishment of a science. Each of the following chapters outlines how that requirement has been satisfied, and refers to the detailed material in an Appendix (which is often taken from one of the earlier volumes in the series, Bourdieu's Demon.) This style of organization enables the reader to move quickly through the logical thought process during the first read. The style also enables the authors to share some of their sense of discovery as they move from one level of insight to another, from one type of model to another. Especially informative is how project is able to move from the strictly sociological x-y plane of the original motives to the x-y-z space of Dr. Stuart Kauffman's N/k evolutionary biology model in which the energy of the motives fuels and informs information-seeking behavior. This Chapter summarizes the prior book The Santa Fe Conjecture and constitutes the heart of how the integration of the science occured. It resulted in the discovery of the M Function, which leads to the discovery of the Self. Dr. Kauffman is a MacArthur Fellow, a genius, a polymath and a bit of a hero in this whole story. He makes the connection between Adam Smith's Theory of Moral Sentiment's and evolutionary biology by the formula he establishes in the N/k model. It turns out that the 2500 respondents in the sample conform to these guidelines, to differing degrees thus forming three "laminates" or three information cultures based on a combination of (the M Function of) the mean of their Personal Drivers and their Information behaviors and content. The authors have developed a version of the original Self-survey which enables any reader of this book who visits their website (listed in the book) and pays an administrative fee to obtain a profile of their own personal Self

William Wordsworth (1770-1850) needs little introduction as the central figure in Romantic poetry and a crucial influence in the development of poetry generally. This broad-ranging survey redefines the variety of his writing by showing how it incorporates contemporary concepts of language difference and the ways in which popular and serious literature were compared and distinguished during this period. It discusses many of Wordsworth's later poems, comparing his work with that of his regional contemporaries as well as major writers such as Scott. The key theme of relationship, both between characters within poems and between poet and reader, is explored through Wordsworth's construction of community and his use of power relationships. A serious discussion of the place of sexual feeling in his writing is also included.

Readers and reviewers alike have fallen in love with Michael Baron's work from the publication of his very first book. "Nicholas Sparks fans will rejoice," said RT Book Reviews of When You Went Away. "Mr. Baron touches my heart and soul," said Coffee Time Romance in its review of Crossing the Bridge. Genre Go Round Reviews called The Journey Home "a great family drama," while CMash Loves to Read said that Spinning was "an engrossing read that pulls on your heartstrings and doesn't let go, even after you read the last page." With Anything, Michael Baron again draws readers into a world of deep emotion, compelling relationships, and heartfelt humor, and this time he adds a touch of fantasy. Ken and Melissa are at the dawn of a magnificent life together. A passionate romance has led them to the doorstep of marriage. While searching for the perfect wedding present for Melissa, Ken stumbles into a mysterious shop. There, he is given an extraordinary opportunity - to look in on Melissa when she was a girl. Ken has always wished he could have known Melissa from the day she was born and this seems like an incredible blessing. Until he discovers a terrible secret in Melissa's past, one so awful she has found it impossible to mention to him. Now Ken has another extraordinary opportunity. He can go back in time and change the horrible event that has left an indelible mark on Melissa. He can free her of this burden - but doing so could change things so completely that they might never meet. Ken has repeatedly told Melissa that he would do anything for her. But would he truly do anything? At once a wildly romantic tale and a compelling human adventure, Anything brings Michael Baron's storytelling to a dramatic new level.