A vast and desolate region, the Texas–New Mexico borderlands have long been an ideal setting for intrigue and illegal dealings—never more so than in the lawless early days of cattle trafficking and trade among the Plains tribes and Comancheros. This book takes us to the borderlands in the 1860s and 1870s for an in-depth look at Union-Confederate skullduggery amid the infamous Comanche-Comanchero trade in stolen Texas livestock. In 1862, the Confederates abandoned New Mexico Territory and Texas west of the Pecos River, fully expecting to return someday. Meanwhile, administered by Union troops under martial law, the region became a hotbed of Rebel exiles and spies, who gathered intelligence, disrupted federal supply lines, and plotted to retake the Southwest. Using a treasure trove of previously unexplored documents, authors James Bailey Blackshear and Glen Sample Ely trace the complicated network of relationships that drew both Texas cattlemen and Comancheros into these borderlands, revealing the urban elite who were heavily involved in both the legal and illegal transactions that fueled the region’s economy. Confederates and Comancheros deftly weaves a complex tale of Texan overreach and New Mexican resistance, explores cattle drives and cattle rustling, and details shady government contracts and bloody frontier justice. Peopled with Rebels and bluecoats, Comanches and Comancheros, Texas cattlemen and New Mexican merchants, opportunistic Indian agents and Anglo arms dealers, this book illustrates how central these contested borderlands were to the history of the American West.
This is the story of the antebellum frontier in Texas, from the Red River to El Paso, a raw and primitive country punctuated by chaos, lawlessness, and violence. During this time, the federal government and the State of Texas often worked at cross-purposes, their confused and contradictory policies leaving settlers on their own to deal with vigilantes, lynchings, raiding American Indians, and Anglo-American outlaws. Before the Civil War, the Texas frontier was a sectional transition zone where southern ideology clashed with western perspectives and where diverse cultures with differing worldviews collided. This is also the tale of the Butterfield Overland Mail, which carried passengers and mail west from St. Louis to San Francisco through Texas. While it operated, the transcontinental mail line intersected and influenced much of the region's frontier history. Through meticulous research, including visits to all the sites he describes, Glen Sample Ely uncovers the fascinating story of the Butterfield Overland Mail in Texas. Until the U.S. Army and Butterfield built West Texas’s infrastructure, the region’s primitive transportation network hampered its development. As Ely shows, the Overland Mail Company and the army jump-started growth, serving together as both the economic engine and the advance agent for European American settlement. Used by soldiers, emigrants, freighters, and stagecoaches, the Overland Mail Road was the nineteenth-century equivalent of the modern interstate highway system, stimulating passenger traffic, commercial freighting, and business. Although most of the action takes place within the Lone Star State, this is in many respects an American tale. The same concerns that challenged frontier residents confronted citizens across the country. Written in an engaging style that transports readers to the rowdy frontier and the bustle of the overland road, The Texas Frontier and the Butterfield Overland Mail offers a rare view of Texas’s antebellum past.
Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling describes Bayesian and predictive approaches to inferential problems with an emphasis on the likelihood principle. The authors demonstrate that a variety of levels of prior information can be used in survey sampling in a Bayesian manner. Situations considered range from a noninformative Bayesian justification of standard frequentist methods when the only prior information available is the belief in the exchangeability of the units to a full-fledged Bayesian model. Intended primarily for graduate students and researchers in finite population sampling, this book will also be of interest to statisticians who use sampling and lecturers and researchers in general statistics and biostatistics.
The Guenther family appears to have originated in Switzerland. Members of the family converted to the Anabaptist movement and were forced to flee first to Moravia and later to the valley of the Vistula in Poland and west Prussia. Eventually members of the family became Mennonites and moved to the Ukraine where a number of Germans were settling. One of the Guenthers to move there was Franz Günther (1827-1900) who married Maria Warkentin and was the father of six children. In 1878 Franz, Maria and four of their children immigrated to America. They settled in South Dakota where one of the children, Cornelius F. Guenther (185301934) married Eva Dürksen and was the father of fourteen children. Their many descendants live throughout the United States.
Revised and updated to incorporate the latest research findings, this economical paperback abridgement of the Textbook presents, in distilled form, the core knowledge base of clinical psychiatry by focusing on information of greatest relevance to the practicing clinician.
This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL). The book examines and presents, in a systematic manner, computational probability methods that encompass data structures and algorithms. The developed techniques address problems that require exact probability calculations, many of which have been considered intractable in the past. The book addresses the plight of the probabilist by providing algorithms to perform calculations associated with random variables. Computational Probability: Algorithms and Applications in the Mathematical Sciences, 2nd Edition begins with an introductory chapter that contains short examples involving the elementary use of APPL. Chapter 2 reviews the Maple data structures and functions necessary to implement APPL. This is followed by a discussion of the development of the data structures and algorithms (Chapters 3–6 for continuous random variables and Chapters 7–9 for discrete random variables) used in APPL. The book concludes with Chapters 10–15 introducing a sampling of various applications in the mathematical sciences. This book should appeal to researchers in the mathematical sciences with an interest in applied probability and instructors using the book for a special topics course in computational probability taught in a mathematics, statistics, operations research, management science, or industrial engineering department.
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