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Author: Abraham de Moivre
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 206
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Book Description
Author: Abraham de Moivre
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 206
Get Book Here
Book Description
Author: Abraham de Moivre
Publisher:
ISBN:
Category : Electronic books
Languages : en
Pages : 376
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Book Description
Author: Abraham de Moivre
Publisher:
ISBN:
Category : Chance
Languages : en
Pages : 273
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Book Description
Author: Abraham de Moivre
Publisher:
ISBN:
Category : Chance
Languages : en
Pages : 282
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Book Description
Author: Abraham de Moivre
Publisher:
ISBN:
Category : Annuities
Languages : en
Pages : 374
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Book Description
Author: Abraham de Moivre
Publisher:
ISBN:
Category :
Languages : en
Pages : 368
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Book Description
Author: Pierre-Simon Laplace
Publisher: Springer Science & Business Media
ISBN: 9780387943497
Category : Mathematics
Languages : en
Pages : 292
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Book Description
Pierre-Simon Laplace (1749-1827) is remembered amoung probabilitists today particularly for his "Theorie analytique des probabilites", published in 1812. The "Essai philosophique dur les probabilites" is his introduction for the second edition of this work. Here Laplace provided a popular exposition on his "Theorie". The "Essai", based on a lecture on probability given by Laplace in 1794, underwent sweeping changes, almost doubling in size, in the various editions published during Laplace's lifetime. Translations of various editions in different languages have apeared over the years. The only English translation of 1902 reads awkwardly today. This is a thorough and modern translation based on the recent re-issue, with its voluminous notes, of the fifth edition of 1826, with preface by Rene Thom and postscript by Bernard Bru. In the second part of the book, the reader is provided with an extensive commentary by the translator including valuable histographical and mathematical remarks and various proofs.
Author: Abraham de Moivre
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Steven J. Osterlind
Publisher: Oxford University Press
ISBN: 019256739X
Category : Science
Languages : en
Pages : 438
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Book Description
Quantitative thinking is our inclination to view natural and everyday phenomena through a lens of measurable events, with forecasts, odds, predictions, and likelihood playing a dominant part. The Error of Truth recounts the astonishing and unexpected tale of how quantitative thinking came to be, and its rise to primacy in the nineteenth and early twentieth centuries. Additionally, it considers how seeing the world through a quantitative lens has shaped our perception of the world we live in, and explores the lives of the individuals behind its early establishment. This worldview was unlike anything humankind had before, and it came about because of a momentous human achievement: we had learned how to measure uncertainty. Probability as a science was conceptualised. As a result of probability theory, we now had correlations, reliable predictions, regressions, the bellshaped curve for studying social phenomena, and the psychometrics of educational testing. Significantly, these developments happened during a relatively short period in world history— roughly, the 130-year period from 1790 to 1920, from about the close of the Napoleonic era, through the Enlightenment and the Industrial Revolutions, to the end of World War I. At which time, transportation had advanced rapidly, due to the invention of the steam engine, and literacy rates had increased exponentially. This brief period in time was ready for fresh intellectual activity, and it gave a kind of impetus for the probability inventions. Quantification is now everywhere in our daily lives, such as in the ubiquitous microchip in smartphones, cars, and appliances; in the Bayesian logic of artificial intelligence, as well as applications in business, engineering, medicine, economics, and elsewhere. Probability is the foundation of quantitative thinking. The Error of Truth tells its story— when, why, and how it happened.
Author: Davar Khoshnevisan
Publisher: American Mathematical Soc.
ISBN: 0821842153
Category : Mathematics
Languages : en
Pages : 242
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Book Description
This is a textbook for a one-semester graduate course in measure-theoretic probability theory, but with ample material to cover an ordinary year-long course at a more leisurely pace. Khoshnevisan's approach is to develop the ideas that are absolutely central to modern probability theory, and to showcase them by presenting their various applications. As a result, a few of the familiar topics are replaced by interesting non-standard ones. The topics range from undergraduate probability and classical limit theorems to Brownian motion and elements of stochastic calculus. Throughout, the reader will find many exciting applications of probability theory and probabilistic reasoning. There are numerous exercises, ranging from the routine to the very difficult. Each chapter concludes with historical notes.
