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Author: Terence C. Mills
Publisher: Cambridge Scholars Publishing
ISBN: 1443891584
Category : Mathematics
Languages : en
Pages : 530
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Book Description
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 opportune moment to redress the balance and to embark on the first major study of Yule’s statistical research and subsequent legacy. Part of the text’s title is taken from Yule’s 1920 article in the Cambridge Review, ‘The wind bloweth where it listeth’, where Yule coined the phrase ‘loafers of the world’ to describe free spirits of academe, who have become an increasingly rare breed in modern university life. Udny Yule was Lecturer, then Reader, in Statistics at Cambridge University, England, from 1912 to 1930. He was a member, then Fellow, of St John’s College, at Cambridge Universty, from 1913 until his death in 1951. He was a member of the Royal Statistical Society from 1895 until his death, was awarded the Society’s Guy Medal in Gold in 1911, and was President from 1924 to 1926. Yule was awarded a C.B.E. in 1919 for his work during the First World War in the War Office and the Ministry of Food.
Author: Terence C. Mills
Publisher: Cambridge Scholars Publishing
ISBN: 1443891584
Category : Mathematics
Languages : en
Pages : 530
Get Book Here
Book Description
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 opportune moment to redress the balance and to embark on the first major study of Yule’s statistical research and subsequent legacy. Part of the text’s title is taken from Yule’s 1920 article in the Cambridge Review, ‘The wind bloweth where it listeth’, where Yule coined the phrase ‘loafers of the world’ to describe free spirits of academe, who have become an increasingly rare breed in modern university life. Udny Yule was Lecturer, then Reader, in Statistics at Cambridge University, England, from 1912 to 1930. He was a member, then Fellow, of St John’s College, at Cambridge Universty, from 1913 until his death in 1951. He was a member of the Royal Statistical Society from 1895 until his death, was awarded the Society’s Guy Medal in Gold in 1911, and was President from 1924 to 1926. Yule was awarded a C.B.E. in 1919 for his work during the First World War in the War Office and the Ministry of Food.
Author: George Udny Yule
Publisher: CUP Archive
ISBN:
Category : Imitatio Christi
Languages : en
Pages : 326
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Book Description
Author: G. Udny Yule
Publisher: Alpha Edition
ISBN: 9789353897796
Category : History
Languages : en
Pages : 440
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Book Description
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.
Author: C.C. Heyde
Publisher: Springer Science & Business Media
ISBN: 1461301793
Category : Mathematics
Languages : en
Pages : 505
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Book Description
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.
Author: Egon Sharpe Pearson
Publisher:
ISBN:
Category : Biography & Autobiography
Languages : en
Pages : 156
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Book Description
A refreshing aspect of Gosset's letters is that they reveal his likable and modest character: he describes his own contribution to the 1914-18 war as 'to brew Guinness stout in such a way as to waste as little labour and material as possible'. Similarly, his dislike of controversy is illustrated in his letters written at the time of publication of Fisher's Statistical methods for research workers, but which still serve to show Gosset's own strong views on the book.
Author: Chris Wiggins
Publisher: W. W. Norton & Company
ISBN: 1324006749
Category : Technology & Engineering
Languages : en
Pages : 289
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Book Description
“Fascinating.” —Jill Lepore, The New Yorker A sweeping history of data and its technical, political, and ethical impact on our world. From facial recognition—capable of checking people into flights or identifying undocumented residents—to automated decision systems that inform who gets loans and who receives bail, each of us moves through a world determined by data-empowered algorithms. But these technologies didn’t just appear: they are part of a history that goes back centuries, from the census enshrined in the US Constitution to the birth of eugenics in Victorian Britain to the development of Google search. Expanding on the popular course they created at Columbia University, Chris Wiggins and Matthew L. Jones illuminate the ways in which data has long been used as a tool and a weapon in arguing for what is true, as well as a means of rearranging or defending power. They explore how data was created and curated, as well as how new mathematical and computational techniques developed to contend with that data serve to shape people, ideas, society, military operations, and economies. Although technology and mathematics are at its heart, the story of data ultimately concerns an unstable game among states, corporations, and people. How were new technical and scientific capabilities developed; who supported, advanced, or funded these capabilities or transitions; and how did they change who could do what, from what, and to whom? Wiggins and Jones focus on these questions as they trace data’s historical arc, and look to the future. By understanding the trajectory of data—where it has been and where it might yet go—Wiggins and Jones argue that we can understand how to bend it to ends that we collectively choose, with intentionality and purpose.
Author: Richard H. Williams
Publisher: Bitingduck Press LLC
ISBN: 193248244X
Category : Biography & Autobiography
Languages : en
Pages : 82
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Book Description
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 methods in the behavioral, social, and biological disciplines. The statisticians and some of their contributions covered include: 1. Karl Pearson: product-moment correlation. 2. R.A. Fisher: analysis of variance and covariance, experimental design, common sampling distributions. 3. Charles Spearman: factor analysis, theory of intelligence, mental test theory. 4. Florence Nightingale David: advocate of womenOCOs vocational rights in statistics, distinguished educator. 5. George Udny Yule: time series, contingency table analysis. 6. Maurice G. Kendall: generation of and tests for randomness, time series. 7. George E.P. Box: statistical quality control, analysis of time series. 8. William Sealy Gosset (OC StudentOCO): small sample statistical techniques, contributions to Neyman-Pearson theory. 9. Egon Sharpe Pearson: Neyman-Pearson theory, history of statistics. 10. Francis Ysidro Edgeworth: polymath mathematical psychics, editor of the Economics Journal . 11. Maurice S. Bartlett: stochastic processes, epidemiology, time series. 12. David Cox: multivariable models including covariates and treatment variables, survival rate. For author bios, photos, and a sample read, visit www.bosonbooks.com"
Author: Aileen Nielsen
Publisher: O'Reilly Media
ISBN: 1492041629
Category : Computers
Languages : en
Pages : 500
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Book Description
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly. You’ll get the guidance you need to confidently: Find and wrangle time series data Undertake exploratory time series data analysis Store temporal data Simulate time series data Generate and select features for a time series Measure error Forecast and classify time series with machine or deep learning Evaluate accuracy and performance
Author: Peter Spirtes
Publisher: Springer Science & Business Media
ISBN: 1461227488
Category : Mathematics
Languages : en
Pages : 551
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Book Description
This book is intended for anyone, regardless of discipline, who is interested in the use of statistical methods to help obtain scientific explanations or to predict the outcomes of actions, experiments or policies. Much of G. Udny Yule's work illustrates a vision of statistics whose goal is to investigate when and how causal influences may be reliably inferred, and their comparative strengths estimated, from statistical samples. Yule's enterprise has been largely replaced by Ronald Fisher's conception, in which there is a fundamental cleavage between experimental and non experimental inquiry, and statistics is largely unable to aid in causal inference without randomized experimental trials. Every now and then members of the statistical community express misgivings about this turn of events, and, in our view, rightly so. Our work represents a return to something like Yule's conception of the enterprise of theoretical statistics and its potential practical benefits. If intellectual history in the 20th century had gone otherwise, there might have been a discipline to which our work belongs. As it happens, there is not. We develop material that belongs to statistics, to computer science, and to philosophy; the combination may not be entirely satisfactory for specialists in any of these subjects. We hope it is nonetheless satisfactory for its purpose.
Author: Nicolas Bacaër
Publisher: Springer Science & Business Media
ISBN: 0857291157
Category : Mathematics
Languages : en
Pages : 160
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Book Description
As Eugene Wigner stressed, mathematics has proven unreasonably effective in the physical sciences and their technological applications. The role of mathematics in the biological, medical and social sciences has been much more modest but has recently grown thanks to the simulation capacity offered by modern computers. This book traces the history of population dynamics---a theoretical subject closely connected to genetics, ecology, epidemiology and demography---where mathematics has brought significant insights. It presents an overview of the genesis of several important themes: exponential growth, from Euler and Malthus to the Chinese one-child policy; the development of stochastic models, from Mendel's laws and the question of extinction of family names to percolation theory for the spread of epidemics, and chaotic populations, where determinism and randomness intertwine. The reader of this book will see, from a different perspective, the problems that scientists face when governments ask for reliable predictions to help control epidemics (AIDS, SARS, swine flu), manage renewable resources (fishing quotas, spread of genetically modified organisms) or anticipate demographic evolutions such as aging.
