Focusing on the evolution of statistics from the Fisher revolution to the computer era, this book offers a personal account of the field's history. It highlights the careers and contributions of 65 influential statisticians, all of whom the author knew personally. The narrative combines biographical sketches with insights into significant developments, making it accessible to readers interested in the growth of statistical science.
Focusing on rank tests and their estimating procedures, this classic reference provides a comprehensive overview of their properties. It details various statistical tests that are now widely accessible through numerous software packages, making it a valuable resource for understanding these methodologies in statistics.
Written by one of the main figures in twentieth century statistics, this book provides a unified treatment of first-order large-sample theory. It discusses broad range of applications including introductions to density estimation, the bootstrap, and the asymptotics of survey methodology. The book is written at an elementary level making it accessible to most readers.
Reds is a story of the lives of five adolescent boys growing up in a small blue-collar town in America. A youngster named Reds assumes the role of their natural leader on the strength of his quiet but compelling personality. The narrative shapes the major issues of then and now around the lives of these boys as they grow up in a world devastated by the Great Depression and the Second World War. Economic divisions of rich and poor, insufferable racial discrimination, rejection of same-sex desires-these are some of the societal realities encountered by these youngsters who ostensibly want only to play baseball on their own neighborhood team. They do more than that, however, as their lives reflect many of the social challenges that remain with us today. As they grow into adulthood and inevitably to old age, they retain the lessons learned in childhood when they were not yet faced with the norms of social conformity which would rob them of their modest independence. Their otherwise unremarkable lives gain honor and dignity through the universal truths of their story.
This second, much enlarged edition by Lehmann and Casella of Lehmann's classic text on point estimation maintains the outlook and general style of the first edition. All of the topics are updated, while an entirely new chapter on Bayesian and hierarchical Bayesian approaches is provided, and there is much new material on simultaneous estimation. Each chapter concludes with a Notes section which contains suggestions for further study. This is a companion volume to the second edition of Lehmann's "Testing Statistical Hypotheses."
Classical statistical theory is mainly the creation of two men: Ronald A. Fisher and Jerzy Neyman. This book explores the relationship between them, their interactions with other influential statisticians and the statistical history they helped create.
This book covers the theory of hypotheses testing and of estimation by confidence intervals.
