John Marshall (1755-1835) became the fourth chief justice of the U.S. Supreme Court despite having had almost no formal schooling and after having studied law for a mere six weeks. Nevertheless, Marshall remains the only judge in American history whose distinction derives almost entirely from his judicial career. During Marshall's nearly 35-year tenure as chief justice, he wielded the Constitution's awe-inspiring power aggressively and wisely, setting the Supreme Court on a course for the ages by ensuring its equal position in the triumvirate of the federal government of the United States and securing its role as interpreter and enforcer of the Constitution. Marshall's judicial energies were as unflagging as his vision was expansive. This four-volume life of Marshall received wide acclaim upon its initial publication in 1920, winning the Pulitzer Prize that year, and makes fascinating reading for the lawyer, historian, and legal scholar.
This overview of the leading locomotive producers in the United States during the twentieth century shows how they responded to a radical technological change: the replacement of steam locomotives by diesels. The locomotive industry provides a valuable case study of business practices and dramatic shifts in innovation patterns, since two companies--General Motors and General Electric--that had no traditional ties to locomotive production demolished established steam locomotive manufacturers. Albert Churella uses many previously untapped sources to illustrate how producers responded to technological change, particularly between the 1920s and the 1960s. Companies discussed include the American Locomotive Company (ALCo), the Baldwin Locomotive Works, the Lima Locomotive Works, Fairbanks-Morse, the Electro-Motive Division of General Motors, and General Electric. A comparative work of business history and the history of technology, the book is not a complete history of any locomotive builder, nor does it explore the origins of the diesel engine in great detail. What it does, and does superbly, is to demonstrate how managers addressed radical shifts in technology and production methods. Churella reveals that managerial culture and corporate organizational routines, more than technological competency per se, allowed some companies to succeed, yet constrained the actions of others. He details the shift from small-batch custom manufacturing techniques in the steam locomotive industry to mass-production methods in the diesel locomotive industry. He also explains that chance events and fortuitous technological linkages helped to shape competitive patterns in the locomotive industry.
A3 & HIS ALGEBRA is the true story of a struggling young boy from Chicago's west side who grew to become a force in American mathematics. For nearly 50 years, A. A. Albert thrived at the University of Chicago, one of the world's top centers for algebra. His "pure research" in algebra found its way into modern computers, rocket guidance systems, cryptology, and quantum mechanics, the basic theory behind atomic energy calculations. This first-hand account of the life of a world-renowned American mathematician is written by Albert's daughter. Her memoir, which favors a general audience, offers a personal and revealing look at the multidimensional life of an academic who had a lasting impact on his profession. SOME QUOTATIONS FROM PROFESSOR ALBERT: "There are really few bad students of mathematics. There are, instead, many bad teachers and bad curricula..." "The difficulty of learning mathematics is increased by the fact that in so many high schools this very difficult subject is considered to be teachable by those whose major subject is language, botany, or even physical education." "It is still true that in a majority of American universities the way to find the Department of Mathematics is to ask for the location of the oldest and most decrepit building on campus." "The production of a single scientist of first magnitude will have a greater impact on our civilization than the production of fifty mediocre Ph.D.'s." "Freedom is having the time to do research...Even in mathematics there are 'fashions'. This doesn't mean that the researcher is controlled by them. Many go their own way, ignoring the fashionable. That's part of the strength of a great university.
Excerpt from The Life of John Marshall: Volumes I and II, 1755-1801 In making these acknowledgments, I do not in the least shift to other shoulders the responsibility for anything in these volumes. That burden is mine alone. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
In 1940, art-world icon Georgia O’Keeffe bought a house in a mountain-rimmed New Mexico desert, planning to live there for six months every year. To manage her remote household while she paints, O’Keeffe invited Maria Chabot–a young and naïve would-be writer–to join her. ​Their tempestuous relationship endured throughout the chaotic years of WW2; the death of Georgia’s domineering, philandering husband (famed photographer Alfred Stieglitz); and Maria’s design and building of a remarkable adobe house and studio for the artist in the native village of Abiquiu—a generous gift from an exceptional friend. An evocative story that explores the dimensions of friendship and the debts we incur to those who make our lives easier, Someone Always Nearby is based on research into a massive collection of over 700 letters, documents, media reports, and historical accounts. Readers will be fascinated by this intimate, revealing portrait of the artist’s daily life during her first decade at her New Mexico ranch–a mysterious, enigmatic O’Keeffe that only one woman, Maria Chabot, ever fully knew. Bonus Reader’s Guide. The story behind the story: research, sources and hyperlinked resources, curated extras, author commentary, questions and discussion topics. Available as a free, printable pdf download at www. https://susanalbert.com/someone-always-nearby/
Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The text introduces inference and prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced, Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents several case studies motivated by some historical Bayesian studies and the authors’ research. This text reflects modern Bayesian statistical practice. Simulation is introduced in all the probability chapters and extensively used in the Bayesian material to simulate from the posterior and predictive distributions. One chapter describes the basic tenets of Metropolis and Gibbs sampling algorithms; however several chapters introduce the fundamentals of Bayesian inference for conjugate priors to deepen understanding. Strategies for constructing prior distributions are described in situations when one has substantial prior information and for cases where one has weak prior knowledge. One chapter introduces hierarchical Bayesian modeling as a practical way of combining data from different groups. There is an extensive discussion of Bayesian regression models including the construction of informative priors, inference about functions of the parameters of interest, prediction, and model selection. The text uses JAGS (Just Another Gibbs Sampler) as a general-purpose computational method for simulating from posterior distributions for a variety of Bayesian models. An R package ProbBayes is available containing all of the book datasets and special functions for illustrating concepts from the book. A complete solutions manual is available for instructors who adopt the book in the Additional Resources section.
As he did in his smash success, Vintage and Historic Stock Cars, Craft has filled this new book with fascinating histories of some of the most significant stock cars ever to battle on the highbanks and short tracks of NASCAR. His detailed accounts of the cars and their builders, tuners, and drivers are accompanied by beautiful color photography, most of which show cars that are faithfully restored. Readers are treated to the compelling stories behind these famous cars, some built by legendary craftsmen like Holman & Moody and others raced by champions such as Richard Petty.
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