In an instructive and conversational tone, Cody clearly explains how to program SAS, illustrating with one or more real-life examples and giving a detailed description of how the program works.

    The author successfully introduces Maxwell's equations, wave propagation, network analysis, and design principles as applied to modern microwave engineering. A considerable amount of material in this book is related to the design of specific microwave circuits and components, for both practical and motivational value. It also presents the analysis and logic behind these designs so that the reader can see and understand the process of applying the fundamental concepts to arrive at useful results. The derivations are well laid out and the majority of each chapter's formulas are displayed in a nice tabular format every few pages. This Third Edition offers greatly expanded coverage with new material on: Noise; Nonlinear effects; RF MEMs; transistor power amplifiers; FET mixers; oscillator phase noise; transistor oscillators and frequency multiplier.

    R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. * Accompanied by a website featuring worked examples, data sets, exercises and solutions: http: //www.imperial.ac.uk/bio/research/crawl... Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

    Northouse's Leadership 8e and Peter G. Northouse's Introduction to Leadership 4e

    In the highly litigated area of Special Education, it is imperative that professionals in the field understand the legal requirements of providing a free appropriate public education to students with disabilities. This text presents the necessary information for educators to understand the history and development of special education laws and the requirements of these laws. It provides the reader with the necessary skills to locate pertinent information in law libraries, on the Internet, and other sources to keep abreast of the constant changes and developments in the field. The second edition of The Law and Special Education, one of the top special education law books in the field, includes new information on the Individuals with Disabilities Education Act of 2004 and the No Child Left Behind Act of 2001. It has been updated with the latest information on the statutes, regulations, policy guidance, and cases on special education law.

    Under the direction of Stephen Greenblatt, General Editor, the editors have reconsidered all aspects of the anthology to make it an even better teaching tool.

    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    A painting shows a military officer in a Dutch sitting room, talking to a laughing girl. In another, a woman at a window weighs pieces of silver. Vermeer's images captivate us with their beauty and mystery: What stories lie behind these stunningly rendered moments? As Timothy Brook shows us, these pictures, which seem so intimate, actually offer a remarkable view of a rapidly expanding world. The officer's dashing hat is made of beaver fur, which European explorers got from Native Americans in exchange for weapons. Those beaver pelts, in turn, financed the voyages of sailors seeking new routes to China. There--with silver mined in Peru--Europeans would purchase, by the thousands, the porcelains so often shown in Dutch paintings of this time. Moving outward from Vermeer's studio, Brook traces the web of trade that was spreading across the globe. The wharves of Holland, wrote a French visitor, were an inventory of the possible. Vermeer's Hat shows just how rich this inventory was, and how the urge to acquire the goods of distant lands was refashioning the world more powerfully than we have yet understood.

    Fortunately, Jon McGee is an ideal guide through this dynamic marketplace. In Breakpoint, he argues that higher education is in the midst of an extraordinary moment of demographic, economic, and cultural transition that has significant implications for how colleges understand their mission, their market, and their management. Drawing from an extensive assessment of demographic and economic trends, McGee presents a broad and integrative picture of these changes while stressing the importance of decisive campus leadership. He describes the key forces that influence higher education and provides a framework from which trustees, presidents, administrators, faculty, and policy makers can address pressing issues in the aftermath of the Great Recession.Although McGee avoids endorsing one-size-fits-all solutions, he suggests a number of concrete strategies for handling prospective students and developing pedagogical practices, curricular content and delivery, and management structures. Practical and compelling, Breakpoint will help higher education leaders make choices that advance their institutional values and serve their students and the common good for generations to come.