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What Every Engineer Should Know About Risk Engineering and Management (ISSN)
by John X. WangCompletely updated, this new edition uniquely explains how to assess and handle technical risk, schedule risk, and cost risk efficiently and effectively for complex systems that include Artificial Intelligence, Machine Learning, and Deep Learning. It enables engineering professionals to anticipate failures and highlight opportunities to turn failure into success through the systematic application of Risk Engineering. What Every Engineer Should Know About Risk Engineering and Management, Second Edition discusses Risk Engineering and how to deal with System Complexity and Engineering Dynamics, as it highlights how AI can present new and unique ways that failures can take place. The new edition extends the term "Risk Engineering" introduced by the first edition, to Complex Systems in the new edition. The book also relates Decision Tree which was explored in the first edition to Fault Diagnosis in the new edition and introduces new chapters on System Complexity, AI, and Causal Risk Assessment along with other chapter updates to make the book current. Features Discusses Risk Engineering and how to deal with System Complexity and Engineering Dynamics Highlights how AI can present new and unique ways of failure that need to be addressed Extends the term "Risk Engineering" introduced by the first edition to Complex Systems in this new edition Relates Decision Tree which was explored in the first edition to Fault Diagnosis in the new edition Includes new chapters on System Complexity, AI, and Causal Risk Assessment along with other chapters being updated to make the book more current The audience is the beginner with no background in Risk Engineering and can be used by new practitioners, undergraduates, and first-year graduate students.
What If There Were No Significance Tests?: Classic Edition (Multivariate Applications Series)
by Lisa L. Harlow Stanley A. Mulaik James H. SteigerThe classic edition of What If There Were No Significance Tests? highlights current statistical inference practices. Four areas are featured as essential for making inferences: sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways. Other options (data visualization, replication or meta-analysis), other features (mediation, moderation, multiple levels or classes), and other approaches (Bayesian analysis, simulation, data mining, qualitative inquiry) are also suggested. The Classic Edition’s new Introduction demonstrates the ongoing relevance of the topic and the charge to move away from an exclusive focus on NHST, along with new methods to help make significance testing more accessible to a wider body of researchers to improve our ability to make more accurate statistical inferences. Part 1 presents an overview of significance testing issues. The next part discusses the debate in which significance testing should be rejected or retained. The third part outlines various methods that may supplement significance testing procedures. Part 4 discusses Bayesian approaches and methods and the use of confidence intervals versus significance tests. The book concludes with philosophy of science perspectives. Rather than providing definitive prescriptions, the chapters are largely suggestive of general issues, concerns, and application guidelines. The editors allow readers to choose the best way to conduct hypothesis testing in their respective fields. For anyone doing research in the social sciences, this book is bound to become "must" reading. Ideal for use as a supplement for graduate courses in statistics or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences, the book also benefits independent researchers in the behavioral and social sciences and those who teach statistics.
What Is a Complex System?
by James Ladyman Karoline WiesnerA clear, concise introduction to the quickly growing field of complexity science that explains its conceptual and mathematical foundations What is a complex system? Although &“complexity science&” is used to understand phenomena as diverse as the behavior of honeybees, the economic markets, the human brain, and the climate, there is no agreement about its foundations. In this introduction for students, academics, and general readers, philosopher of science James Ladyman and physicist Karoline Wiesner develop an account of complexity that brings the different concepts and mathematical measures applied to complex systems into a single framework. They introduce the different features of complex systems, discuss different conceptions of complexity, and develop their own account. They explain why complexity science is so important in today&’s world.
What Is a Mathematical Concept?
by Elizabeth Nathalie Sinclair De Freitas Alf ColesResponding to widespread interest within cultural studies and social inquiry, this book addresses the question 'what is a mathematical concept?' using a variety of vanguard theories in the humanities and posthumanities. Tapping historical, philosophical, sociological and psychological perspectives, each chapter explores the question of how mathematics comes to matter. Of interest to scholars across the usual disciplinary divides, this book tracks mathematics as a cultural activity, drawing connections with empirical practice. Unlike other books in this area, it is highly interdisciplinary, devoted to exploring the ontology of mathematics as it plays out in different contexts. This book will appeal to scholars who are interested in particular mathematical habits - creative diagramming, structural mappings, material agency, interdisciplinary coverings - that shed light on both mathematics and other disciplines. Chapters are also relevant to social sciences and humanities scholars, as each offers philosophical insight into mathematics and how we might live mathematically.
What Is Energy?: An Answer Based on the Evolution of a Concept (History of Physics)
by Ricardo Lopes CoelhoThis book provides a solution to the problem with the energy concept. This problem manifests itself in the fact that physicists clearly diverge regarding the question of what energy is. Some define it but others state that we do not know what it is. Although this is a problem for physicists who need to explain the concept, it is not a problem for physics that can be solved by laboratory means. Penetrating into the origin of the notion of energy, this book offers a clear idea of what was discovered and what was invented to interpret the findings.Following the development of the concept, it provides an explanation of the trends in contemporary textbooks. The author's repetition, in his "History and Philosophy of Physics Laboratory", of Joule’s famous experiment – the paddle wheel experiment – with a calorimeter as originally used by Joule and with a calorimeter as proposed in textbooks, is presented, yielding new insight into the phenomenon. Thus, science teachers and students will benefit from reading the book as well as historians, philosophers, students of the history and philosophy of science, and all who are interested in knowing about what it is that we call energy.
What Is Lean Six Sigma?
by Mike George Dave Rowlands Bill KastleA quick introduction on how to use Lean Six Sigma to improve your workplace, meet your goals, and better serve your customers. Lean Six Sigma combines the two most important improvement trends of our time: making work better (using Six Sigma) and making work faster (using Lean principles). In this plain-English guide, you'll discover how this remarkable quality improvement method can give you the tools to identify and eliminate waste and quality problems in your own work area. Packed with diagrams, cartoons, and real-life examples, What is Lean Six Sigma? reveals the four keys of Lean Six Sigma and how they apply to your own job:Delight your customers with speed and quality Improve your processes Work together for maximum gain Base decisions on data and facts You'll see the big picture of what your company hopes to gain with Lean Six Sigma, how it may affect your work area, and what it can mean to you personally.
What Is Mathematical Logic? (Dover Books on Mathematics)
by J. N. Crossley J. C. Stillwell C. J. Brickhill C. J. AshAlthough mathematical logic can be a formidably abstruse topic, even for mathematicians, this concise book presents the subject in a lively and approachable fashion. It deals with the very important ideas in modern mathematical logic without the detailed mathematical work required of those with a professional interest in logic.The book begins with a historical survey of the development of mathematical logic from two parallel streams: formal deduction, which originated with Aristotle, Euclid, and others; and mathematical analysis, which dates back to Archimedes in the same era. The streams began to converge in the seventeenth century with the invention of the calculus, which ultimately brought mathematics and logic together. The authors then briefly indicate how such relatively modern concepts as set theory, Gödel's incompleteness theorems, the continuum hypothesis, the Löwenheim-Skolem theorem, and other ideas influenced mathematical logic. The ideas are set forth simply and clearly in a pleasant style, and despite the book's relative brevity, there is much covered on these pages. Nonmathematicians can read the book as a general survey; students of the subject will find it a stimulating introduction. Readers will also find suggestions for further reading in this lively and exciting area of modern mathematics.
What Is Money?: Bartering, Cash, Cryptocurrency... And Much More! (A True Book (Relaunch))
by Alicia GreenA series to build strong financial habits early on in life!Understanding how society progressed from the barter system to currency-and how that money works in the global economy-are just two critical financial literacy skills that all kids should have. Did you know that the first paper currency appeared more than 1,200 years ago? Or that the currency of the future will likely be digital? Learn all this and more in What Is Money? - a book that starts kids on the road to financial literacy.ABOUT THE SERIES: How can I make money? What is inflation? What is the difference between a debit card and a credit card? Economics - and more specifically, money - play such a large role in our lives. Yet there are many mysteries and misconceptions surrounding the basic concepts of finance and smart money management. This set of True Books offers students the know-how they'll need to start on the road to financial literacy-a crucial skill for today's world. Interesting information is presented in a fun, friendly way-and in the simplest terms possible-which will enable students to build strong financial habits early on in life.
What Is Random?: Chance and Order in Mathematics and Life (Copernicus Ser.)
by Edward BeltramiIn this fascinating book, mathematician Ed Beltrami takes a close enough look at randomness to make it mysteriously disappear. The results of coin tosses, it turns out, are determined from the start, and only our incomplete knowledge makes them look random. "Random" sequences of numbers are more elusive, but Godels undecidability theorem informs us that we will never know. Those familiar with quantum indeterminacy assert that order is an illusion, and that the world is fundamentally random. Yet randomness is also an illusion. Perhaps order and randomness, like waves and particles, are only two sides of the same (tossed) coin.
What is the Genus?
by Patrick Popescu-PampuExploring several of the evolutionary branches of the mathematical notion of genus, this book traces the idea from its prehistory in problems of integration, through algebraic curves and their associated Riemann surfaces, into algebraic surfaces, and finally into higher dimensions. Its importance in analysis, algebraic geometry, number theory and topology is emphasized through many theorems. Almost every chapter is organized around excerpts from a research paper in which a new perspective was brought on the genus or on one of the objects to which this notion applies. The author was motivated by the belief that a subject may best be understood and communicated by studying its broad lines of development, feeling the way one arrives at the definitions of its fundamental notions, and appreciating the amount of effort spent in order to explore its phenomena.
What Logics Mean
by James W. GarsonWhat do the rules of logic say about the meanings of the symbols they govern? In this book, James W. Garson examines the inferential behaviour of logical connectives (such as 'and', 'or', 'not' and 'if . . . then'), whose behaviour is defined by strict rules, and proves definitive results concerning exactly what those rules express about connective truth conditions. He explores the ways in which, depending on circumstances, a system of rules may provide no interpretation of a connective at all, or the interpretation we ordinarily expect for it, or an unfamiliar or novel interpretation. He also shows how the novel interpretations thus generated may be used to help analyse philosophical problems such as vagueness and the open future. His book will be valuable for graduates and specialists in logic, philosophy of logic, and philosophy of language.
What Makes Us Smart: The Computational Logic of Human Cognition
by Samuel GershmanHow a computational framework can account for the successes and failures of human cognitionAt the heart of human intelligence rests a fundamental puzzle: How are we incredibly smart and stupid at the same time? No existing machine can match the power and flexibility of human perception, language, and reasoning. Yet, we routinely commit errors that reveal the failures of our thought processes. What Makes Us Smart makes sense of this paradox by arguing that our cognitive errors are not haphazard. Rather, they are the inevitable consequences of a brain optimized for efficient inference and decision making within the constraints of time, energy, and memory—in other words, data and resource limitations. Framing human intelligence in terms of these constraints, Samuel Gershman shows how a deeper computational logic underpins the “stupid” errors of human cognition.Embarking on a journey across psychology, neuroscience, computer science, linguistics, and economics, Gershman presents unifying principles that govern human intelligence. First, inductive bias: any system that makes inferences based on limited data must constrain its hypotheses in some way before observing data. Second, approximation bias: any system that makes inferences and decisions with limited resources must make approximations. Applying these principles to a range of computational errors made by humans, Gershman demonstrates that intelligent systems designed to meet these constraints yield characteristically human errors.Examining how humans make intelligent and maladaptive decisions, What Makes Us Smart delves into the successes and failures of cognition.
What Makes Variables Random: Probability for the Applied Researcher
by Peter J. VeazieWhat Makes Variables Random: Probability for the Applied Researcher provides an introduction to the foundations of probability that underlie the statistical analyses used in applied research. By explaining probability in terms of measure theory, it gives the applied researchers a conceptual framework to guide statistical modeling and analysis, and to better understand and interpret results. The book provides a conceptual understanding of probability and its structure. It is intended to augment existing calculus-based textbooks on probability and statistics and is specifically targeted to researchers and advanced undergraduate and graduate students in the applied research fields of the social sciences, psychology, and health and healthcare sciences. Materials are presented in three sections. The first section provides an overall introduction and presents some mathematical concepts used throughout the rest of the text. The second section presents the basic structure of measure theory and its special case of probability theory. The third section provides the connection between a conceptual understanding of measure-theoretic probability and applied research. This section starts with a chapter on its use in understanding basic models and finishes with a chapter that focuses on more complicated problems, particularly those related to various types and definitions of analyses related to hierarchical modeling.
What Mathematics Can Do for You: Essays and Tips from Japanese Industry Leaders
by Toshiyuki Kobayashi Yoshikazu GigaJapan is a tiny country that occupies only 0.25% of the world's total land area. However, this small country is the world's third largest in economy: the Japanese GDP is roughly equivalent to the sum of any two major countries in Europe as of 2012. This book is a first attempt to ask leaders of top Japanese companies, such as Toyota, about their thoughts on mathematics. The topics range from mathematical problems in specific areas (e.g., exploration of natural resources, communication networks, finance) to mathematical strategy that helps a leader who has to weigh many different issues and make decisions in a timely manner, and even to mathematical literacy that ensures quality control. The reader may notice that every article reflects the authors' way of life and thinking, which can be evident in even one sentence. This book is an enlarged English edition of the Japanese book What Mathematics Can Do for You: Essays and Tips from Japanese Industry Leaders. In this edition we have invited the contributions of three mathematicians who have been working to expand and strengthen the interaction between mathematics and industry. The role of mathematics is usually invisible when it is applied effectively and smoothly in science and technology, and mathematical strategy is often hidden when it is used properly and successfully. The business leaders in successful top Japanese companies are well aware of this invisible feature of mathematics in applications aside from the intrinsic depth of mathematics. What Mathematics Can Do for You ultimately provides the reader an opportunity to notice what is hidden but key to business strategy.
What Matters? Research Trends in International Comparative Studies in Mathematics Education
by Jane-Jane Lo Tad Watanabe Ji-Won SonThis book provides a unique international comparative perspective on diverse issues and practices in mathematics education between and among the US and five high-performing TIMSS education systems, Japan, China, Singapore, South Korea, and Taiwan. The book offers multiple perspectives on the important factors that contribute to mathematics teaching and learning in different educational systems and cultural contexts. Using large scale data generated by numerous international comparative studies, the book analyzes and provides context for various methodological perspectives. The book raises compelling questions and issues for mathematics education researchers, leading to a critical examination of what can be learned from other education systems. Authors address four major research perspectives by critically examining cross-national similarities and differences, such as research on the influence of curriculum on student learning; research on institutional systems of mathematics teacher education; research on improving teacher knowledge and pedagogical approaches; and research using large-scale data. This collection of perspectives serves as a foundation for reviewing and analyzing the international comparative studies introduced in the book.
What Shape?
by Debbie MackinnonAnthea Sieveking's vibrant photographs capture eight lovable toddlers as they discover with wonder the many different shapes in the world around them. A companion to What's Inside? and What Color?, here is a first book of shapes to be shared with delight!
What Successful Math Teachers Do, Grades 6-12: 80 Research-Based Strategies for the Common Core-Aligned Classroom
by Alfred S. Posamentier Terri L. Germain-Williams Daniel I. JayeThe math teacher's go-to resource—now updated for the Common Core! What works in math and why has never been the issue; the research is all out there. Where teachers struggle is the “how.” That’s the big service What Successful Math Teachers Do provides. It’s a powerful portal to what the best research looks like in practice strategy by strategy—now aligned to both the Common Core and the NCTM Standards. For each of the book’s 80 strategies, the authors present A brief description A summary of supporting research The corresponding NCTM and Common Core Standards Classroom applications Possible pitfalls Recommended reading and research
What Successful Math Teachers Do, Grades PreK-5: 47 Research-Based Strategies for the Standards-Based Classroom
by Edward S. Wall Alfred S. PosamentierThe authors present dynamic learning activities with research-based strategies and sources for further reading to increase students' confidence in math while effectively addressing NCTM standards.
What the Luck?: The Surprising Role of Chance in Our Everyday Lives
by Gary SmithThe newest book by the acclaimed author of Standard Deviations takes on luck, and all the mischief the idea of luck can cause in our lives. In Israel, pilot trainees who were praised for doing well subsequently performed worse, while trainees who were yelled at for doing poorly performed better. It is an empirical fact that highly intelligent women tend to marry men who are less intelligent. Students who get the highest scores in third grade generally get lower scores in fourth grade. And yet, it's wrong to conclude that screaming is not more effective in pilot training, women choose men whose intelligence does not intimidate them, or schools are failing third graders. In fact, there's one reason for each of these empirical facts: Statistics. Specifically, a statical concept called Regression to the Mean. Regression to the mean seeks to explain, with statistics, the role of luck in our day to day lives. An insufficient appreciation of luck and chance can wreak all kinds of mischief in sports, education, medicine, business, politics, and more. It can lead us to see illness when we are not sick and to see cures when treatments are worthless. Perfectly natural random variation can lead us to attach meaning to the meaningless. Freakonomics showed how economic calculations can explain seemingly counterintuitive decision-making. Thinking, Fast and Slow, helped readers identify a host of small cognitive errors that can lead to miscalculations and irrational thought. In What the Luck?, statistician and author Gary Smith sets himself a similar goal, and explains--in clear, understandable, and witty prose--how a statistical understanding of luck can change the way we see just about every aspect of our lives...and can help us learn to rely less on random chance, and more on truth.
What to Expect When No One's Expecting
by Jonathan V. LastLook around you and think for a minute: Is America too crowded?For years, we have been warned about the looming danger of overpopulation: people jostling for space on a planet that's busting at the seams and running out of oil and food and land and everything else.It's all bunk. The "population bomb" never exploded. Instead, statistics from around the world make clear that since the 1970s, we've been facing exactly the opposite problem: people are having too few babies. Population growth has been slowing for two generations. The world's population will peak, and then begin shrinking, within the next fifty years. In some countries, it's already started. Japan, for instance, will be half its current size by the end of the century. In Italy, there are already more deaths than births every year. China's One-Child Policy has left that country without enough women to marry its men, not enough young people to support the country's elderly, and an impending population contraction that has the ruling class terrified.And all of this is coming to America, too. In fact, it's already here. Middle-class Americans have their own, informal one-child policy these days. And an alarming number of upscale professionals don't even go that far--they have dogs, not kids. In fact, if it weren't for the wave of immigration we experienced over the last thirty years, the United States would be on the verge of shrinking, too.What happened? Everything about modern life--from Bugaboo strollers to insane college tuition to government regulations--has pushed Americans in a single direction, making it harder to have children. And making the people who do still want to have children feel like second-class citizens.What to Expect When No One's Expecting explains why the population implosion happened and how it is remaking culture, the economy, and politics both at home and around the world.Because if America wants to continue to lead the world, we need to have more babies.
What's a Pair? What's a Dozen?
by Stephen R. SwinburneThe world is filled with numbers. From learning to count their fingers to learning to put on their shoes, children encounter mathematical concepts early in life. Steve Swinburne introduces children to number-related words in this bouncy, colorful photo-essay. From one to a dozen, lively photographs illustrated math words such as single, double, couple, and prefixes such as uni-, bi-, and tri-. The second half of the book is presented as a guessing game. Following Lots and Lots of Zebra Stripes and Guess Whose Shadow?, Steve Swinburne offers children another entertaining look at an all-important concept.
What's in a Relative: Household and Family in Formentera (Explorations In Anthropology Ser. #No. 5)
by Joan Bestard-CampsIn this ground-breaking study based on ethnographic research in Formentera, in the Balearic Islands, the author demonstrates that European kinship can become central to anthropological explanation once it is understood from a symbolic and cultural perspective. This book is an outstanding example of ethnographic analysis which is sensitive to the findings of demographic and historical research.
What’s Luck Got to Do with It?
by Joseph MazurWhy do so many gamblers risk it all when they know the odds of winning are against them? Why do they believe dice are "hot" in a winning streak? Why do we expect heads on a coin toss after several flips have turned up tails? What's Luck Got to Do with It? takes a lively and eye-opening look at the mathematics, history, and psychology of gambling to reveal the most widely held misconceptions about luck. It exposes the hazards of feeling lucky, and uses the mathematics of predictable outcomes to show when our chances of winning are actually good. Mathematician Joseph Mazur traces the history of gambling from the earliest known archaeological evidence of dice playing among Neolithic peoples to the first systematic mathematical studies of games of chance during the Renaissance, from government-administered lotteries to the glittering seductions of grand casinos, and on to the global economic crisis brought on by financiers' trillion-dollar bets. Using plenty of engaging anecdotes, Mazur explains the mathematics behind gambling--including the laws of probability, statistics, betting against expectations, and the law of large numbers--and describes the psychological and emotional factors that entice people to put their faith in winning that ever-elusive jackpot despite its mathematical improbability. As entertaining as it is informative, What's Luck Got to Do with It? demonstrates the pervasive nature of our belief in luck and the deceptive psychology of winning and losing.
What's Math Got to Do with It?
by Jo Boaler"Highly accessible and enjoyable for readers who love and loathe math." --BooklistA critical read for teachers and parents who want to improve children's mathematics learning, What's Math Got to Do with It? is "an inspiring resource" (Publishers Weekly). Featuring all the important advice and suggestions in the original edition of What's Math Got to Do with It?, this revised edition is now updated with new research on the brain and mathematics that is revolutionizing scientists' understanding of learning and potential.As always Jo Boaler presents research findings through practical ideas that can be used in classrooms and homes. The new What's Math Got to Do with It? prepares teachers and parents for the Common Core, shares Boaler's work on ways to teach mathematics for a "growth mindset," and includes a range of advice to inspire teachers and parents to give their students the best mathematical experience possible.