(Paperback)
By: David F. Andrews
ISBN: 9780691619767
Readership/Audience: Tertiary Education
Publication Date: May 2015
Publisher: Princeton University Press
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Because estimation involves inferring information about an unknown quantity on the basis of available data, the selection of an estimator is influenced by its ability to perform well under the conditions that are assumed to underlie the data. Since these conditions are never known exactly, the estimators chosen must be robust; i.e., they must be ab
(Hardback)
By: David F. Andrews
ISBN: 9780691646633
Readership/Audience: Tertiary Education
Publication Date: Jun 2016
Publisher: Princeton University Press
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(Paperback)
By: Harry Furstenberg
ISBN: 9780691080413
Readership/Audience: Professional and Scholarly
Publication Date: Nov 1960
Publisher: Princeton University Press
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The description for this book, Stationary Processes and Prediction Theory. (AM-44), will be forthcoming.
(Paperback)
By: Takeyuki Hida
ISBN: 9780691621418
Readership/Audience: Tertiary Education
Publication Date: May 2015
Publisher: Princeton University Press
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Encompassing both introductory and more advanced research material, these notes deal with the author's contributions to stochastic processes and focus on Brownian motion processes and its derivative white noise. Originally published in 1970. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously
(Hardback)
By: Takeyuki Hida
ISBN: 9780691648071
Readership/Audience: Tertiary Education
Publication Date: Jun 2016
Publisher: Princeton University Press
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(Hardback)
By: Robert Lupton
ISBN: 9780691074290
Readership/Audience: Professional and Scholarly
Publication Date: Oct 1993
Publisher: Princeton University Press
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Aimed at a diverse scientific audience, this book explains the theory underlying the classical statistical methods. It covers topics that include common probability distributions; sampling and the distribution of sampling statistics; confidence intervals, hypothesis testing, and the theory of tests; estimation; and more.
(Paperback)
By: David Kault
ISBN: 9780313361319
Readership/Audience: Tertiary Education
Publication Date: Apr 2003
Publisher: Bloomsbury Publishing PLC
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Applying statistical results to real life situations can be difficult or futile if you can't be certain what the results actually mean.
(Hardback)
By: Persi Diaconis
ISBN: 9780691174167
Readership/Audience: Tertiary Education
Publication Date: Jan 2018
Publisher: Princeton University Press
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(Hardback)
By: David R. Brillinger
ISBN: 9780691631240
Readership/Audience: Tertiary Education
Publication Date: Jun 2016
Publisher: Princeton University Press
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(Paperback)
By: David R. Brillinger
ISBN: 9780691601595
Readership/Audience: Tertiary Education
Publication Date: Sep 2014
Publisher: Princeton University Press
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This collection of essays brings together many of the world's most distinguished statisticians to discuss a wide array of the most important recent developments in data analysis. The book honors John W. Tukey, one of the most influential statisticians of the twentieth century, on the occasion of his eightieth birthday. Contributors, some of them Tu
(Paperback)
By: Carsten F. Dormann
ISBN: 9780691258775
Readership/Audience: Tertiary Education
Publication Date: Oct 2025
Publisher: Princeton University Press
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By: University David S Moore
ISBN: 9781319003623
Readership/Audience: General
Publication Date: Jan 2015
Publisher: Macmillan Higher Education
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(Hardback, simultaneous)
By: Carsten F. Dormann
ISBN: 9780691273891
Readership/Audience: Tertiary Education
Publication Date: Sep 2025
Publisher: Princeton University Press
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(Paperback, Revised edition)
By: Paul J. Nahin
ISBN: 9780691158211
Readership/Audience: General
Publication Date: Jun 2013
Publisher: Princeton University Press
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Some probability problems are so difficult that they stump the smartest mathematicians. But even the hardest of these problems can often be solved with a computer and a Monte Carlo simulation, in which a random-number generator simulates a physical process, such as a million rolls of a pair of dice. This is what Digital Dice is all about: how to ge
(Hardback)
By: Bruce Hansen
ISBN: 9780691235943
Readership/Audience: Tertiary Education
Publication Date: Nov 2022
Publisher: Princeton University Press
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"A comprehensive introduction to probability and statistics through the perspective of applying it to economic analysis"--
(Paperback)
By: Persi Diaconis
ISBN: 9780691196398
Readership/Audience: Tertiary Education
Publication Date: Jan 2020
Publisher: Princeton University Press
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(Paperback)
By: Steven J. Miller
ISBN: 9780691149554
Readership/Audience: Tertiary Education
Publication Date: Jul 2017
Publisher: Princeton University Press
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(Paperback)
By: David S. Kahn
ISBN: 9780486801445
Readership/Audience: Tertiary Education
Publication Date: Nov 2016
Publisher: Dover Publications Inc.
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Concise, highly focused review offers everything high school and beginning college students need to know to handle problems in probability and statistics. Rigorously tested examples and coherent explanations, presented in an easy-to-follow format.
(Hardback)
By: Robert Matthews
ISBN: 9781510723795
Readership/Audience: General
Publication Date: Oct 2017
Publisher: Skyhorse Publishing
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Make your own luck by understanding probability
(Hardback)
By: David Spiegelhalter
ISBN: 9780241658628
Readership/Audience: General
Publication Date: Jan 2025
UK Publication Date: 19th September 2024
Publisher: Penguin Books Ltd
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(Paperback, 10th ed. 2020)
By: David S. Moore
ISBN: 9781319324834
Readership/Audience: Professional and Scholarly
Publication Date: Nov 2019
Publisher: Macmillan Learning
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Moore uses a conceptual approach to statistics and shows students how to use these ideas to think about the statistical claims they see.
(Hardback)
By: Richard A Chechile
ISBN: 9780262044585
Readership/Audience: Tertiary Education
Publication Date: Dec 2020
Publisher: MIT Press Ltd
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"An advanced-level textbook on Bayesian statisitics primarily aimed at students in the cognitive, behavioral, and social sciences"--
(Paperback, Main)
By: Robert Matthews
ISBN: 9781781250310
Readership/Audience: Tertiary Education
Publication Date: Feb 2017
Publisher: Profile Books Ltd
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Key insights into how probability affects our lives by one of Britain's leading science writers.
(Hardback)
By: Marc G. Bellemare
ISBN: 9780262048019
Readership/Audience: General
Publication Date: Jun 2023
Publisher: MIT Press Ltd
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"Distributional reinforcement learning provides a mathematical theory to describe the random outcomes caused by an agent's decisions"--
