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Ben Mcculloch and the Frontier Military Tradition
[A] well-written, comprehensively researched biography.--Publishers Weekly "Will both edify the scholar while captivating and entertaining the general reader. . . . Cutrer's research is impeccable, his prose vigorous, and his life of McCulloch likely to remain the standard for many years.--Civil War "A well-crafted work that makes an important contribution to understanding the frontier military tradition and the early stages of the Civil War in the West.--Civil War History "A penetrating study of a man who was one of the last citizen soldiers to wear a general's stars.--Blue and Gray "A brisk narrative filled with colorful quotations by and about the central figure. . . . Will become the standard biography of Ben McCulloch.--Journal of Southern History "A fast-paced, clearly written narrative that does full justice to its heroically oversized subject.--American Historical Review
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Bayesian Statistics and Marketing
The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its implementation ideal for many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing problems, from new product introduction to pricing, and with a wide variety of different data sources. Bayesian Statistics and Marketing describes the basic advantages of the Bayesian approach, detailing the nature of the computational revolution. Examples contained include household and consumer panel data on product purchases and survey data, demand models based on micro-economic theory and random effect models use...
Markov Chain Monte Carlo in Practice
In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interaction. In Gambia, a study helps a vaccination program reduce the incidence of Hepatitis B carriage. Archaeologists in Austria place a Bronze Age site in its true temporal location on the calendar scale. And in France,
Handbook of Matching and Weighting Adjustments for Causal Inference
An observational study infers the effects caused by a treatment, policy, program, intervention, or exposure in a context in which randomized experimentation is unethical or impractical. One task in an observational study is to adjust for visible pretreatment differences between the treated and control groups. Multivariate matching and weighting are two modern forms of adjustment. This handbook provides a comprehensive survey of the most recent methods of adjustment by matching, weighting, machine learning and their combinations. Three additional chapters introduce the steps from association to causation that follow after adjustments are complete. When used alone, matching and weighting do not use outcome information, so they are part of the design of an observational study. When used in conjunction with models for the outcome, matching and weighting may enhance the robustness of model-based adjustments. The book is for researchers in medicine, economics, public health, psychology, epidemiology, public program evaluation, and statistics who examine evidence of the effects on human beings of treatments, policies or exposures.
