Report on Probability A

Report on Probability A PDF Author: Brian W. Aldiss
Publisher: Open Road Media
ISBN: 1504010329
Category : Fiction
Languages : en
Pages : 129

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Book Description
An unending chain of surveillance crosses countless dimensions in this brilliant, disturbing, and groundbreaking “antinovel” by one of science fiction’s greatest practitioners Mr. Mary and his wife are being observed from at least three vantage points as they go about their mundane home lives. G, the former gardener, watches them from a garden shed. Mr. Mary’s dismissed secretary, S, watches them from the top room of a brick outhouse in the back. The chauffeur, C, who no longer drives, watches the Marys from the garage. Each observer must file a report with his superiors in another continuum, pausing in his surveillance only long enough to eat identical meals alone at the deserted café across the street. But the watchers are themselves being observed by others who are, in turn, being watched across vast and infinite dimensional planes in an attempt to unravel the mysteries of the world known as Probability A. This brilliant, experimental work by Grand Master Brian W. Aldiss is a perplexing and devastatingly haunting masterwork of speculative fiction, considered by many to be the greatest work in the long, prolific career of a true giant of the genre. Thought-provoking, confounding, and stylistically brilliant, Report on Probability A will burn its way into the reader’s mind and memory.

Report on Probability A

Report on Probability A PDF Author: Brian W. Aldiss
Publisher: Open Road Media
ISBN: 1504010329
Category : Fiction
Languages : en
Pages : 129

Get Book Here

Book Description
An unending chain of surveillance crosses countless dimensions in this brilliant, disturbing, and groundbreaking “antinovel” by one of science fiction’s greatest practitioners Mr. Mary and his wife are being observed from at least three vantage points as they go about their mundane home lives. G, the former gardener, watches them from a garden shed. Mr. Mary’s dismissed secretary, S, watches them from the top room of a brick outhouse in the back. The chauffeur, C, who no longer drives, watches the Marys from the garage. Each observer must file a report with his superiors in another continuum, pausing in his surveillance only long enough to eat identical meals alone at the deserted café across the street. But the watchers are themselves being observed by others who are, in turn, being watched across vast and infinite dimensional planes in an attempt to unravel the mysteries of the world known as Probability A. This brilliant, experimental work by Grand Master Brian W. Aldiss is a perplexing and devastatingly haunting masterwork of speculative fiction, considered by many to be the greatest work in the long, prolific career of a true giant of the genre. Thought-provoking, confounding, and stylistically brilliant, Report on Probability A will burn its way into the reader’s mind and memory.

Report on Probability A

Report on Probability A PDF Author: Brian Wilson Aldiss
Publisher:
ISBN:
Category : Science fiction
Languages : en
Pages : 190

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Book Description


Understanding Probability and Statistics

Understanding Probability and Statistics PDF Author: Ruma Falk
Publisher: A K Peters/CRC Press
ISBN:
Category : Mathematics
Languages : en
Pages : 264

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Book Description


Probability, Statistics, and Truth

Probability, Statistics, and Truth PDF Author: Richard Von Mises
Publisher: Courier Corporation
ISBN: 0486242145
Category : Mathematics
Languages : en
Pages : 273

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Book Description
This comprehensive study of probability considers the approaches of Pascal, Laplace, Poisson, and others. It also discusses Laws of Large Numbers, the theory of errors, and other relevant topics.

Radically Elementary Probability Theory

Radically Elementary Probability Theory PDF Author: Edward Nelson
Publisher: Princeton University Press
ISBN: 9780691084749
Category : Mathematics
Languages : en
Pages : 112

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Book Description
Using only the very elementary framework of finite probability spaces, this book treats a number of topics in the modern theory of stochastic processes. This is made possible by using a small amount of Abraham Robinson's nonstandard analysis and not attempting to convert the results into conventional form.

High-Dimensional Probability

High-Dimensional Probability PDF Author: Roman Vershynin
Publisher: Cambridge University Press
ISBN: 1108415199
Category : Business & Economics
Languages : en
Pages : 299

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Book Description
An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

A Modern Introduction to Probability and Statistics

A Modern Introduction to Probability and Statistics PDF Author: F.M. Dekking
Publisher: Springer Science & Business Media
ISBN: 1846281687
Category : Mathematics
Languages : en
Pages : 485

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Book Description
Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books

Probability and Statistics

Probability and Statistics PDF Author: Michael J. Evans
Publisher: Macmillan
ISBN: 9780716747420
Category : Mathematics
Languages : en
Pages : 704

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Book Description
Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.

Probability Through Problems

Probability Through Problems PDF Author: Marek Capinski
Publisher: Springer Science & Business Media
ISBN: 0387216596
Category : Mathematics
Languages : en
Pages : 262

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Book Description
This book of problems is designed to challenge students learning probability. Each chapter is divided into three parts: Problems, Hints, and Solutions. All Problems sections include expository material, making the book self-contained. Definitions and statements of important results are interlaced with relevant problems. The only prerequisite is basic algebra and calculus.

Introduction to Probability

Introduction to Probability PDF Author: Dimitri Bertsekas
Publisher: Athena Scientific
ISBN: 188652923X
Category : Mathematics
Languages : en
Pages : 544

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Book Description
An intuitive, yet precise introduction to probability theory, stochastic processes, statistical inference, and probabilistic models used in science, engineering, economics, and related fields. This is the currently used textbook for an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students, and for a leading online class on the subject. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains a number of more advanced topics, including transforms, sums of random variables, a fairly detailed introduction to Bernoulli, Poisson, and Markov processes, Bayesian inference, and an introduction to classical statistics. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis is explained intuitively in the main text, and then developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems.