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A leading data visualization expert explores the negative--and positive--influences that charts have on our perception of truth.
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Every day in the news, we are confronted with a mind-bending range of statistics about the economy, health, unemployment and more, and this information overload has only increased in the wake of the big data revolution. But data does not speak for itself. A basic grasp of statist...ical literacy is more important than ever in order to think critically about the world. In Statistics: The Art of Learning from Data, David Spiegelhalter responds to the growing interest in data science by guiding the reader through the basic statistical principles we need in order not be misled by the numbers. He introduces the fundamental topics in modern statistics - such as data visualization, bias, variability, data-analytics, probability models, discovery, Bayesian inference, and reproducibility - without unnecessary technical detail or equations. Drawing on a range of intriguing contemporary examples and studies, Spiegelhalter uses real world issues to highlight the best (and worst) ways to approach statistical problems. Smart, accessible and packed with the essentials for students and statisticsbewildered readers alike, this book will give you the basic principles for how to derive knowledge from data.
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Statistics help us create Internet technologies, develop medicines, win elections, invest in stocks, predict the weather, and more. But the methods that produce important numbers remain beyond many of us. This book take us on a tour of this subject. It explores the key foundation...al concepts of statistics and the perils of improper methods.
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Topics include developments based on breakthroughs in the mathematical understanding of phenomena describing systems in highly inhomogeneous and disordered media, including the KPZ universality class (describing the evolution of interfaces in two dimensions), random walks in rand...om environment and percolative systems.
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Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline,... a basic grasp of statistical literacy is more important than ever. In How to Tell the Truth with Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial. How many trees are there on the planet? Do busier hospitals have higher survival rates? Why do old men have big ears? Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.
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By DK; Foreword by Parker, Matt
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- RRP: $48.00
- $36.00
- Save $12.00
- In Stock At Publisher
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Discover more than 85 of the most important mathematical ideas, theorems, and proofs ever devised, and the great minds behind them, with this original, graphic-led book. Applying the Big Ideas series' trademark combination of authoritative, accessible text and bold graphics to ch...art the development of maths through history, the book explores and explains subjects that range from ancient mathematical ideas and inventions, such as prehistoric tally bones and Sumerian multiplication tables, through to the developments in mathematics during medieval and Renaissance Europe, to the rise of game and group theory more recently Tracing maths through the scientific revolution to its 21st-century use in computers, the internet, and AI, The Maths Book uses an innovative graphic-led approach to make the subject accessible to everyone.
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'Correlation does not imply causation.' This mantra was invoked by scientists for decades in order to avoid taking positions as to whether one thing caused another, such as smoking and cancer and carbon dioxide and global warming. But today, that taboo is dead. The causal revolut...ion, sparked by world-renowned computer scientist Judea Pearl and his colleagues, has cut through a century of confusion and placed cause and effect on a firm scientific basis. Now, Pearl and science journalist Dana Mackenzie explain causal thinking to general readers for the first time, showing how it allows us to explore the world that is and the worlds that could have been. It is the essence of human and artificial intelligence. And just as Pearl's discoveries have enabled machines to think better, The Book of Why explains how we can think better.
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How does mathematics enable us to send pictures from space back to Earth? Where does the bell-shaped curve come from? Drawing on areas of mathematics from probability theory, number theory, and geometry, this work highlights how ideas, mostly from pure math, can answer these ques...tions. It includes puzzles and problems of varying difficulty.
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Uncertainty is everywhere. It lurks in every consideration of the future - the weather, the economy, the sex of an unborn child - even quantities we think that we know such as populations or the transit of the planets contain the possibility of error. It's no wonder that, through...out that history, we have attempted to produce rigidly defined areas of uncertainty - we prefer the surprise party to the surprise asteroid. We began our quest to make certain an uncertain world by reading omens in livers, tea leaves, and the stars. However, over the centuries, driven by curiosity, competition, and a desire be better gamblers, pioneering mathematicians and scientists began to reduce wild uncertainties to tame distributions of probability and statistical inferences. But, even as unknown unknowns became known unknowns, our pessimism made us believe that some problems were unsolvable and our intuition misled us. Worse, as we realized how omnipresent and varied uncertainty is, we encountered chaos, quantum mechanics, and the limitations of our predictive power. Bestselling author Professor Ian Stewart explores the history and mathematics of uncertainty. Touching on gambling, probability, statistics, financial and weather forecasts, censuses, medical studies, chaos, quantum physics, and climate, he makes one thing clear: a reasonable probability is the only certainty.
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This book is the first to comprehensively explore elasticity imaging and examines recent, important developments in asymptotic imaging, modeling, and analysis of deterministic and stochastic elastic wave propagation phenomena. It derives the best possible functional images for sm...all inclusions and cracks within the context of stability and resolution, and introduces a topological derivative-based imaging framework for detecting elastic inclusions in the time-harmonic regime. For imaging extended elastic inclusions, accurate optimal control methodologies are designed and the effects of uncertainties of the geometric or physical parameters on stability and resolution properties are evaluated. In particular, the book shows how localized damage to a mechanical structure affects its dynamic characteristics, and how measured eigenparameters are linked to elastic inclusion or crack location, orientation, and size. Demonstrating a novel method for identifying, locating, and estimating inclusions and cracks in elastic structures, the book opens possibilities for a mathematical and numerical framework for elasticity imaging of nanoparticles and cellular structures.
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