Donald E. Knuth’s influence in computer science ranges from the invention of methods for translating and defining programming languages to the creation of the TeX and METAFONT systems for desktop publishing. His award-winning textbooks have become classics that are often given credit for shaping the field, and his scientific papers are widely referenced and stand as milestones of development over a wide variety of topics. The present volume is the eighth in a series of his collected papers.
What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics—a scientific discipline related to but distinct from mathematics and computer science.
Even the most basic idea—aggregation, exemplified by averaging—is counterintuitive. It allows one to gain information by discarding information, namely, the individuality of the observations. Stigler’s second pillar, information measurement, challenges the importance of “big data” by noting that observations are not all equally important: the amount of information in a data set is often proportional to only the square root of the number of observations, not the absolute number. The third idea is likelihood, the calibration of inferences with the use of probability. Intercomparison is the principle that statistical comparisons do not need to be made with respect to an external standard. The fifth pillar is regression, both a paradox (tall parents on average produce shorter children; tall children on average have shorter parents) and the basis of inference, including Bayesian inference and causal reasoning. The sixth concept captures the importance of experimental design—for example, by recognizing the gains to be had from a combinatorial approach with rigorous randomization. The seventh idea is the residual: the notion that a complicated phenomenon can be simplified by subtracting the effect of known causes, leaving a residual phenomenon that can be explained more easily.
The Seven Pillars of Statistical Wisdom presents an original, unified account of statistical science that will fascinate the interested layperson and engage the professional statistician.
Sound Authorities shows how experiences of music and sound played a crucial role in nineteenth-century scientific inquiry in Britain.
In Sound Authorities, Edward J. Gillin focuses on hearing and aurality in Victorian Britain, claiming that the development of the natural sciences in this era cannot be understood without attending to the study of sound and music.
During this time, scientific practitioners attempted to fashion themselves as authorities on sonorous phenomena, coming into conflict with traditional musical elites as well as religious bodies. Gillin pays attention to sound in both musical and nonmusical contexts, specifically the cacophony of British industrialization. Sound Authorities begins with the place of acoustics in early nineteenth-century London, examining scientific exhibitions, lectures, spectacles, workshops, laboratories, and showrooms. He goes on to explore how mathematicians mobilized sound in their understanding of natural laws and their vision of a harmonious ordered universe. In closing, Gillin delves into the era’s religious and metaphysical debates over the place of music (and humanity) in nature, the relationship between music and the divine, and the tensions between spiritualist understandings of sound and scientific ones.
An understanding of the developments in classical analysis during the nineteenth century is vital to a full appreciation of the history of twentieth-century mathematical thought. It was during the nineteenth century that the diverse mathematical formulae of the eighteenth century were systematized and the properties of functions of real and complex variables clearly distinguished; and it was then that the calculus matured into the rigorous discipline of today, becoming in the process a dominant influence on mathematics and mathematical physics.
This Source Book, a sequel to D. J. Struik’s Source Book in Mathematics, 1200–1800, draws together more than eighty selections from the writings of the most influential mathematicians of the period. Thirteen chapters, each with an introduction by the editor, highlight the major developments in mathematical thinking over the century. All material is in English, and great care has been taken to maintain a high standard of accuracy both in translation and in transcription. Of particular value to historians and philosophers of science, the Source Book should serve as a vital reference to anyone seeking to understand the roots of twentieth-century mathematical thought.
The Source Book contains 75 excerpts from the writings of Western mathematics from the thirteenth to the end of the eighteenth century. The selection has been confined to pure mathematics or to those fields of applied mathematics that had a direct bearing on the development of pure mathematics.
The authors range from Al-Khwarizmi (a Latin translation of whose work was much used in Europe), Viète, and Oresme, to Newton, Euler, and Lagrange. The selections are grouped in chapters on arithmetic, algebra, geometry, and analysis. All the excerpts are translated into English. Some of the translations have been newly made by Mr. and Mrs. Struik; if a translation was already available it has been used, but in every such case it has been checked against the original and amended or corrected where it seemed necessary. The editor has taken considerable pains to put each selection in context by means of introductory comments and has explained obscure or doubtful points in footnote wherever necessary.
The Source Book should be particularly valuable to historians of science, but all who are concerned with the origins and growth of mathematics will find it interesting and useful.
A long-overdue guide on how to use statistics to bring clarity, not confusion, to policy work.
Statistics are an essential tool for making, evaluating, and improving public policy. Statistics for Public Policy is a crash course in wielding these unruly tools to bring maximum clarity to policy work. Former White House economist Jeremy G. Weber offers an accessible voice of experience for the challenges of this work, focusing on seven core practices:
The field of weak arithmetics is an application of logical methods to number theory that was developed by mathematicians, philosophers, and theoretical computer scientists. In this volume, after a general presentation of weak arithmetics, the following topics are studied: the properties of integers of a real closed field equipped with exponentiation; conservation results for the induction schema restricted to first-order formulas with a finite number of alternations of quantifiers; a survey on a class of tools called pebble games; the fact that the reals e and pi have approximations expressed by first-order formulas using bounded quantifiers; properties of infinite pictures depending on the universe of sets used; a language that simulates in a sufficiently nice manner all algorithms of a certain restricted class; the logical complexity of the axiom of infinity in some variants of set theory without the axiom of foundation; and the complexity to determine whether a trace is included in another one.
In the steam-powered mechanical age of the eighteenth and nineteenth centuries, the work of late Georgian and early Victorian mathematicians depended on far more than the properties of number. British mathematicians came to rely on industrialized paper and pen manufacture, railways and mail, and the print industries of the book, disciplinary journal, magazine, and newspaper. Though not always physically present with one another, the characters central to this book—from George Green to William Rowan Hamilton—relied heavily on communication technologies as they developed their theories in consort with colleagues. The letters they exchanged, together with the equations, diagrams, tables, or pictures that filled their manuscripts and publications, were all tangible traces of abstract ideas that extended mathematicians into their social and material environment. Each chapter of this book explores a thing, or assembling of things, mathematicians needed to do their work—whether a textbook, museum, journal, library, diagram, notebook, or letter—all characteristic of the mid-nineteenth-century British taskscape, but also representative of great change to a discipline brought about by an industrialized world in motion.
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