One of the best known statisticians of the 20th century, Frederick Mosteller has inspired numerous statisticians and other scientists by his creative approach to statistics and its applications. This volume collects 40 of his most original and influential papers, capturing the variety and depth of his writings. It is hoped that sharing these writings with a new generation of researchers will inspire them to build upon his insights and efforts.
“A welcome addition to multivariate analysis. The discussion is lucid and very leisurely, excellently illustrated with applications drawn from a wide variety of fields. A good part of the book can be understood without very specialized statistical knowledge. It is a most welcome contribution to an interesting and lively subject.” -- Nature Originally published in 1974, this book is a reprint of a classic, still-valuable text.
A variety of biological and social science data come in the form of cross-classified tables of counts, commonly referred to as contingency tables. Until recent years the statistical and computational techniques available for the analysis of cross-classified data were quite limited. This book presents some of the recent work on the statistical analysis of cross-classified data using longlinear models, especially in the multidimensional situation.
Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve a form of graphical representation. Probability models on graphs date back to 1959. Along with empirical studies in social psychology and sociology from the 1960s, these early works generated an active network community and a substantial literature in the 1970s. This effort moved into the statistical literature in the late 1970s and 1980s, and the past decade has seen a burgeoning network literature in statistical physics and computer science. The growth of the World Wide Web and the emergence of online networking communities such as Facebook, MySpace, and LinkedIn, and a host of more specialized professional network communities has intensified interest in the study of networks and network data. Our goal in this review is to provide the reader with an entry point to this burgeoning literature. We begin with an overview of the historical development of statistical network modeling and then we introduce a number of examples that have been studied in the network literature. Our subsequent discussion focuses on a number of prominent static and dynamic network models and their interconnections. We emphasize formal model descriptions, and pay special attention to the interpretation of parameters and their estimation. We end with a description of some open problems and challenges for machine learning and statistics.
One of Choice Magazine's Outstanding Academic Books of 2000 For those interested in understanding the historical and scientific context of the census adjustment controversy, Who Counts? is absolutely essential reading. —Science Ever since the founding fathers authorized a national headcount as the means of apportioning seats in the federal legislature, the decennial census has been a political battleground. Political power, and more recently the allocation of federal resources, depend directly upon who is counted and who is left out. Who Counts? is the story of the lawsuits, congressional hearings, and bureaucratic intrigues surrounding the 1990 census. These controversies formed largely around a single vexing question: should the method of conducting the census be modified in order to rectify the demonstrated undercount of poor urban minorities? But they also stemmed from a more general debate about the methods required to count an ever more diverse and mobile population of over two hundred million. The responses to these questions repeatedly pitted the innovations of statisticians and demographers against objections that their attempts to alter traditional methods may be flawed and even unconstitutional. Who Counts? offers a detailed review of the preparation, implementation, and aftermath of the last three censuses. It recounts the growing criticisms of innaccuracy and undercounting, and the work to develop new enumeration strategies. The party shifts that followed national elections played an increasingly important role in the politization of the census, as the Department of Commerce asserted growing authority over the scientific endeavors of the Census Bureau. At the same time, each decade saw more city and state governments and private groups bringing suit to challenge census methodology and results. Who Counts? tracks the legal course that began in 1988, when a coalition led by New York City first sued to institute new statistical procedures in response to an alleged undercount of urban inhabitants. The challenge of accurately classifying an increasingly mixed population further threatens the legitimacy of the census, and Who Counts? investigates the difficulties of gaining unambiguous measurements of race and ethnicity, and the proposal that the race question be eliminated in favor of ethnic origin. Who Counts? concludes with a discussion of the proposed census design for 2000, as well as the implications of population counts on the composition and size of Congress. This volume reveals in extraordinary detail the interplay of law, politics, and science that propel the ongoing census debate, a debate whose outcome will have a tremendous impact on the distribution of political power and economic resources among the nation's communities. A Volume in the Russell Sage Foundation Census Series
This introduction to the world of statistics covers exploratory data analysis, methods for collecting data, formal statistical inference, and techniques of regression and analysis of variance. 1983 edition.
This book presents the first introduction to African American academic philosophers, exploring their concepts and ideas and revealing the critical part they have played in the formation of philosophy in the USA. The book begins with the early years of educational attainment by African American philosophers in the 1860s. To demonstrate the impact of their philosophical work on general problems in the discipline, chapters are broken down into four major areas of study: Axiology, Social Science, Philosophy of Religion and Philosophy of Science. Providing personal narratives on individual philosophers and examining the work of figures such as H. T. Johnson, William D. Johnson, Joyce Mitchell Cooke, Adrian Piper, William R. Jones, Roy D. Morrison, Eugene C. Holmes, and William A. Banner, the book challenges the myth that philosophy is exclusively a white academic discipline. Packed with examples of struggles and triumphs, this engaging introduction is a much-needed approach to studying philosophy today.
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