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A Statistical Biography of George Udny Yule
Udny Yule’s seminal influence on time series analysis has long been recognized but much less recognized is that Yule was not only a wonderful expositor but that he had also published equally important research in an extraordinarily wide range of fields, from developing the theory of correlation and regression to providing mathematical models of evolutionary behavior, and from analyzing data on pauperism to using statistical methods to resolve cases of disputed authorship of medieval manuscripts. Yet little has been written about Yule and his work, apart from a few scattered articles, since his death in 1951 and the two obituaries that appeared in the following year. This book is an opportu...
An Introduction to the Theory of Statistics
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
An Introduction to the Theory of Statistics
This book has been considered by academicians and scholars of great significance and value to literature. This forms a part of the knowledge base for future generations. So that the book is never forgotten we have represented this book in a print format as the same form as it was originally first published. Hence any marks or annotations seen are left intentionally to preserve its true nature.
Statisticians of the Centuries
Written by leading statisticians and probabilists, this volume consists of 104 biographical articles on eminent contributors to statistical and probabilistic ideas born prior to the 20th Century. Among the statisticians covered are Fermat, Pascal, Huygens, Neumann, Bernoulli, Bayes, Laplace, Legendre, Gauss, Poisson, Pareto, Markov, Bachelier, Borel, and many more.
Twelve British Statisticians
Twelve British Statisticians provides a description of the lives and contributions of a dozen scientific luminaries. Their fields of expertise sometimes include disciplines that depart from statistics and display great versatility. Each statistician is a famous figure, but is especially renowned in Great Britain. The book is accessible to a wide reading audience. Each chapter focuses on the scientific contributions and personal life of a single statistician. Each chapter begins with an overview and contains a rich set of references. Current textbooks in statistics contain little information about the pioneers in the field. This book provides a historical supplement in courses on quantitative...
Statistics [microform]
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
