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This volume highlights Prof. Hira Koul’s achievements in many areas of Statistics, including Asymptotic theory of statistical inference, Robustness, Weighted empirical processes and their applications, Survival Analysis, Nonlinear time series and Econometrics, among others. Chapters are all original papers that explore the frontiers of these areas and will assist researchers and graduate students working in Statistics, Econometrics and related areas. Prof. Hira Koul was the first Ph.D. student of Prof. Peter Bickel. His distinguished career in Statistics includes the receipt of many prestigious awards, including the Senior Humbolt award (1995), and dedicated service to the profession through editorial work for journals and through leadership roles in professional societies, notably as the past president of the International Indian Statistical Association. Prof. Hira Koul has graduated close to 30 Ph.D. students, and made several seminal contributions in about 125 innovative research papers. The long list of his distinguished collaborators is represented by the contributors to this volume.
"Although the Fifteenth lost all three of its principal officers at the battle of Perryville, Kentucky, the men of the Fifteenth Kentucky fought for the Union for over three years. The men were in the thick of the action not only at Perryville but also at Stones River and Chickamauga, and throughout the battles of the Atlanta campaign. At Chickamauga, Buzzards Roost, and Resaca, the Fifteenth Kentucky was called upon to fight Confederate Kentuckians - the "Orphan Brigade" commanded by former Kentucky Senator John C. Breckinridge."--BOOK JACKET.
"Contains over 2500 equations and exhaustively covers not only nonparametrics but also parametric, semiparametric, frequentist, Bayesian, bootstrap, adaptive, univariate, and multivariate statistical methods, as well as practical uses of Markov chain models."
During the last two decades, many areas of statistical inference have experienced phenomenal growth. This book presents a timely analysis and overview of some of these new developments and a contemporary outlook on the various frontiers of statistics.Eminent leaders in the field have contributed 16 review articles and 6 research articles covering areas including semi-parametric models, data analytical nonparametric methods, statistical learning, network tomography, longitudinal data analysis, financial econometrics, time series, bootstrap and other re-sampling methodologies, statistical computing, generalized nonlinear regression and mixed effects models, martingale transform tests for model diagnostics, robust multivariate analysis, single index models and wavelets.This volume is dedicated to Prof. Peter J Bickel in honor of his 65th birthday. The first article of this volume summarizes some of Prof. Bickel's distinguished contributions.
Historical Highlights Jersey City Police Department By: Arthur W. Pease This book focuses on the specific history of Jersey City Police Department. Starting with the earliest facts and articles, this book provides a very easy to follow timeline. It presents facts about the department and its members throughout time, such as information about the first minorities and first female officer of the department to stories about how policemen risked their lives in order to save others. This interesting history will shed a new light on how brave and inspiring the police force can be.
Renowned for its international coverage and rigorous selection procedures, this series provides the most comprehensive and scholarly bibliographic service available in the social sciences. Arranged by topic and indexed by author, subject and place-name, each bibliography lists and annotates the most important works published in its field during the year of 1997, including hard-to-locate journal articles. Each volume also includes a complete list of the periodicals consulted.
Probability, Statistics and Modelling in Public Health consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life.
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This book combines theory and practice to analyze risk measurement from different points of view. The limitations of a model depend on the framework on which it has been built as well as specific assumptions, and risk managers need to be aware of these when assessing risks. The authors investigate the impact of these limitations, propose an alternative way of thinking that challenges traditional assumptions, and also provide novel solutions. Starting with the traditional Value at Risk (VaR) model and its limitations, the book discusses concepts like the expected shortfall, the spectral measure, the use of the spectrum, and the distortion risk measures from both a univariate and a multivariate perspective.