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This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. This new edition has been revised and updated and in this fourth printing, errors have been ironed out. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Subsequent chapters contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results.
The jackknife and bootstrap are the most popular data-resampling meth ods used in statistical analysis. The resampling methods replace theoreti cal derivations required in applying traditional methods (such as substitu tion and linearization) in statistical analysis by repeatedly resampling the original data and making inferences from the resamples. Because of the availability of inexpensive and fast computing, these computer-intensive methods have caught on very rapidly in recent years and are particularly appreciated by applied statisticians. The primary aims of this book are (1) to provide a systematic introduction to the theory of the jackknife, the bootstrap, and other resampling method...
1526 AD—China is ruled by the Great Ming Empire. Though the empire flourishes, the winds of the new emperor’s political purge are sweeping over the land, and turmoil is brewing. With the decimation of her comrades, Shao Jun has become China’s last Assassin. After escaping to Europe, she has now returned alone to her homeland. Her purpose: vengeance! -- VIZ Media
Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data. Features Uses the mean score equation as a building block for developing the theory for missing data analysis Provides comprehensive coverage of computational techniques for missing data analysis Presents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation Explores the most recent advances of the propensity score method...
Shao Jun, the last Assassin in China, has returned to her homeland with vengeance on her mind. The Templar Order’s machinations must be stopped, and only Shao Jun stands ready for the battle to come. As she eliminates her foes one by one, the Templar Order’s plans for the Great Ming Empire begin to come to light... -- VIZ Media
Shao Jun, the last Assassin in China, has returned to her homeland with vengeance on her mind. The Templar Order’s machinations must be stopped, and only Shao Jun stands ready for the battle to come. Shao Jun has found great success on her mission so far, but now the enemy plans to take the lives of her loved ones. Finding and killing Lord Wei Bin is going to prove to be a true challenge! -- VIZ Media
1526 A.D. This is it. This moment is truly Shao Jun’s last chance. Her foes lay dead in her wake, her target is just ahead, and her best friend is within arm’s reach. Shao Jun was trained by the greatest of the Assassins, and has desperately fought her way toward victory. It will take all her skills to survive this final mission! -- VIZ Media
Emphasizing the role of good statistical practices (GSP) in drug research and formulation, this book outlines important statistics applications for each stage of pharmaceutical development to ensure the valid design, analysis, and assessment of drug products under investigation and establish the safety and efficacy of pharmaceutical compounds. Cove
Praise for the Second Edition: "... this is a useful, comprehensive compendium of almost every possible sample size formula. The strong organization and carefully defined formulae will aid any researcher designing a study." -Biometrics "This impressive book contains formulae for computing sample size in a wide range of settings. One-sample studies and two-sample comparisons for quantitative, binary, and time-to-event outcomes are covered comprehensively, with separate sample size formulae for testing equality, non-inferiority, and equivalence. Many less familiar topics are also covered ..." – Journal of the Royal Statistical Society Sample Size Calculations in Clinical Research, Third Edit...
Modern cryptography has evolved dramatically since the 1970s. With the rise of new network architectures and services, the field encompasses much more than traditional communication where each side is of a single user. It also covers emerging communication where at least one side is of multiple users. New Directions of Modern Cryptography presents general principles and application paradigms critical to the future of this field. The study of cryptography is motivated by and driven forward by security requirements. All the new directions of modern cryptography, including proxy re-cryptography, attribute-based cryptography, batch cryptography, and noncommutative cryptography have arisen from t...