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Understanding Advanced Statistical Methods
Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian methods. The book teaches students how to properly model, think critically, and design their own studies to avoid common errors. It leads them to think differently not only about math and statistics but also about general research and the scientific method. With a focus on statistical models as producers of data, the book enables students to more eas...
Multiple Comparisons Using R
Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http://CRAN.R-pro
The Brotherhood of Battle
Stories of generals and battles of the American Civil War have been told and retold but relatively little has been written about the common soldiers who fought in the war. In his thoroughly researched history of the Civil War soldiers and families of the upstate New York town of Newark Valley, Jerry Marsh sheds light on the lives of three hundred and nineteen soldiers of the town. He tells of the preacher's son who prayed to be a faithful soldier under the "Stars and Stripes" and the "Banner of Jesus," the eleven families who sent their father and son(s) to the war, the seventy sets of brothers who served, the youths and older men who misrepresented their ages to enlist, the seventy-four men killed or wounded in battle and thirty-nine who died of disease, the families who brought their dead or dying sons back to be buried at home, and the veterans who became productive citizens in New York and across the expanding nation. Marsh's narrative is enhanced by photographs, letters, diaries, and anecdotes from descendants of the courageous soldiers who fought to save the Union and ensure the freedom of all citizens of the "new nation."
Resampling-Based Multiple Testing
Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report and widely applicable. Software from SAS Institute is available to execute many of the methods and programming is straightforward for other applications. Explains how to summarize results using adjusted p-values which do not necessitate cumbersome table look-ups. Demonstrates how to incorporate logical constraints among hypotheses, further improving power.
Multiple Comparisons and Multiple Tests
Does your work require multiple inferences? Are you a statistics teacher looking for a study guide to supplement the usually incomplete or outdated multiple comparisons/multiple testing material in your textbook? This workbook, the companion guide written specifically for use with Multiple Comparisons and Multiple Tests Using the SAS System, provides the supplement you need. Use this workbook and you will find problems and solutions that will enhance your understanding of the material within the main text. The workbook also provides updated information about multiple comparisons procedures, including enhancements for Release 8.1 of the SAS System. The chapters correlate with the chapters of the main text, and the format is clear and easy to use. This book and the companion text are quite useful as supplements for learning multiple comparisons procedures in standard linear models, multivariate analysis, categorical analysis, and regression and nonparametric statistics. Book jacket.
