Union County, Pennsylvania

by Charles McCool Snyder, John W. Downie, Lois Kalp

2000 · Penn State Press

This updated and revised book covers the gamut of Union County's history. It begins with the region's earliest days when the Delaware Indians were in residence and how the arrival of settlers, who ventured into this frontier area from Berks and Lancaster counties, marked the beginning of major changes. Synder's text, first published in 1976, has been expanded and updated to reflect newly discovered material on such groups as the Amish and the developments in Union County up to 2000. Distributed by Penn State University Press by arrangement with the Union County Historical Society.

The History of the 12th (Bermondsey) Battalion East Surrey Regiment

by John Aston, L. M. Duggan

2012 · Andrews UK Limited

The 12th E Surreys were raised on 14th May 1915 by the Mayor and Borough of Bermondsey, and in October the battalion joined 122nd Brigade, 41st Division, the last of the Kitchener divisions. It remained in the same brigade throughout the war. A year later, May 1916, the division arrived in France where the battalion served until November 1917, when they were sent to Italy. In March 1918 they returned to France where the battalion remained for the rest of the war. The authors have made every effort to be accurate in their account, but the main aim has been to provide a narrative, not so much for the general reader as for the members of the Battalion Association and their friends. In pursuit of this aim they have included plenty of ‘yarns' using the actual words of the individual narrator which, they believe, will prove the best part of the volume. In fact this is the most ‘anecdotal' unit history I have yet come across. Reading it today, some ninety years later, it is clear that these personal contributions add a great deal to the story, bringing a feeling of reality to the scenes being described. There are plenty of references to individuals, references which are always welcome in what amounts to a family history, telling the day-to-day story of a close knit battalion. There is no doubt it will have brought to mind those who died and will have helped to recall incidents, localities, friendships and dangers shared. The division was one selected for the Army of Occupation in Germany and the battalion ended its war service on garrison duty in the Rhine bridgehead. 217 officers and 4,487 other ranks served with the battalion during the war, and total casualties amounted to 128 officers and 2,675 other ranks of whom 38 and 683 respectively died.The appendices contain a wealth of information, of great help to the researcher. There is the nominal roll of officers and men who served with the battalion; there is a list of cemeteries in which the dead are buried, each is numbered and keyed to the Roll of Honour so the place of burial can be checked; and there is the list of honours and awards. This is a very comprehensive history.

Effect Sizes for Research

by Robert J. Grissom, John J. Kim

2014 · Routledge

The goal of this book is to inform a broad readership about a variety of measures and estimators of effect sizes for research, their proper applications and interpretations, and their limitations. Its focus is on analyzing post-research results. The book provides an evenhanded account of controversial issues in the field, such as the role of significance testing. Consistent with the trend toward greater use of robust statistical methods, the book pays much attention to the statistical assumptions of the methods and to robust measures of effect size. Effect Sizes for Research discusses different effect sizes for a variety of kinds of variables, designs, circumstances, and purposes. It covers standardized differences between means, correlational measures, strength of association, and confidence intervals. The book clearly demonstrates how the choice of an appropriate measure might depend on such factors as whether variables are categorical, ordinal, or continuous; satisfying assumptions; the sampling method; and the source of variability in the population. It emphasizes a practical approach through: worked examples using real data; formulas and rationales for a variety of variables, designs, and purposes to help readers apply the material to their own data sets; software references for the more tedious calculations; and informative figures and tables, questions, and over 300 references. Intended as a resource for professionals, researchers, and advanced students in a variety of fields, this book is an excellent supplement for advanced courses in statistics in disciplines such as psychology, education, the social sciences, business, management, and medicine. A prerequisite of introductory statistics through factorial analysis of variance and chi-square is recommended.

Practical Data Science with R, Second Edition

by John Mount, Nina Zumel

2019 · Simon and Schuster

Summary Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You’ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. About the technology Evidence-based decisions are crucial to success. Applying the right data analysis techniques to your carefully curated business data helps you make accurate predictions, identify trends, and spot trouble in advance. The R data analysis platform provides the tools you need to tackle day-to-day data analysis and machine learning tasks efficiently and effectively. About the book Practical Data Science with R, Second Edition is a task-based tutorial that leads readers through dozens of useful, data analysis practices using the R language. By concentrating on the most important tasks you’ll face on the job, this friendly guide is comfortable both for business analysts and data scientists. Because data is only useful if it can be understood, you’ll also find fantastic tips for organizing and presenting data in tables, as well as snappy visualizations. What's inside Statistical analysis for business pros Effective data presentation The most useful R tools Interpreting complicated predictive models About the reader You’ll need to be comfortable with basic statistics and have an introductory knowledge of R or another high-level programming language. About the author Nina Zumel and John Mount founded a San Francisco–based data science consulting firm. Both hold PhDs from Carnegie Mellon University and blog on statistics, probability, and computer science.

Dementia 3Ed

by David Ames, Alistair Burns, John O'Brien

2005 · CRC Press

The rising prevalence of dementia in the population continues to pose a serious public health challenge in both the developed and the developing world. Previous editions of Dementia have become acknowledged as a key 'gold standard' work in this field, and have had a genuinely international approach. The third edition has been fully revised and updated to reflect the most recent advances in the rapidly developing field of dementia research, adding further important detail to this already authoritative and detailed text. New material on mild cognitive impairment has been included, and the latest developments in areas such as service development and carer research are also covered. All the chapters have been revised to include the most up-to-date research in their field. This is an essential work of reference for specialists in old age psychiatry, neurology, and health care of the elderly. It should also be a useful resource for others working with patients with dementia, including general practitioners, nurses, psychologists, and other allied health professionals.