The Doctrine of Chances PDF Download
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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 : Annuities
Languages : en
Pages : 374
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Book Description
Author: Benedict Gross
Publisher: Cambridge University Press
ISBN: 1108482961
Category : Business & Economics
Languages : en
Pages : 213
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Book Description
Designed for the intellectually curious, this book provides a solid foundation in basic probability theory in a charming style, without technical jargon. This text will immerse the reader in a mathematical view of the world, and teach them techniques to solve real-world problems both inside and outside the casino.
Author: Kathryn Kozak
Publisher: Lulu.com
ISBN: 1329757254
Category : Education
Languages : en
Pages : 459
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Book Description
Statistics With Technology, Second Edition, is an introductory statistics textbook. It uses the TI-83/84 calculator and R, an open source statistical software, for all calculations. Other technology can also be used besides the TI-83/84 calculator and the software R, but these are the ones that are presented in the text. This book presents probability and statistics from a more conceptual approach, and focuses less on computation. Analysis and interpretation of data is more important than how to compute basic statistical values.
Author: Daniel Navarro
Publisher: Lulu.com
ISBN: 1326189727
Category : Computers
Languages : en
Pages : 617
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Book Description
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Author: Jim Albert
Publisher:
ISBN:
Category : Baseball
Languages : en
Pages :
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Book Description
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.
Author: David Diez
Publisher:
ISBN: 9781943450046
Category :
Languages : en
Pages :
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Book Description
The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.
Author: Michael Tondre
Publisher: University of Virginia Press
ISBN: 0813941466
Category : Literary Criticism
Languages : en
Pages : 287
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Book Description
The Physics of Possibility traces the sensational birth of mathematical physics in Victorian literature, science, and statistics. As scientists took up new breakthroughs in quantification, they showed how all sorts of phenomena—the condition of stars, atoms, molecules, and nerves—could be represented as a set of probabilities through time. Michael Tondre demonstrates how these techniques transformed the British novel. Fictions of development by Charles Dickens, George Eliot, and others joined the vogue for alternative possibilities. Their novels not only reflected received pieties of maturation but plotted a wider number of deviations from the norms of reproductive adulthood. By accentuating overlooked elements of form, Tondre reveals the novel’s changing identification with possible worlds through the decades when physics became a science of all things. In contrast to the observation that statistics served to invent normal populations, Tondre brings influential modes of historical thinking to the foreground. His readings reveal an acute fascination with alternative temporalities throughout the period, as novelists depicted the categories of object, action, and setting in new probabilistic forms. Privileging fiction’s agency in reimagining historical realities, never simply sanctioning them, Tondre revises our understanding of the novel and its ties to the ascendant Victorian sciences.
Author: Vijay Kumar Bansal
Publisher: Taylor & Francis
ISBN: 1000994686
Category : Technology & Engineering
Languages : en
Pages : 285
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Book Description
Project Management:Planning and Scheduling Techniques is a highly readable guide to the essentials of project planning, scheduling, and control aimed at readers looking for an introduction to the core concepts of planning and scheduling, including the ‘Critical Path Method’, but also the ‘Precedence Diagramming Method’, the ‘Line of Balance’ technique, and the ‘Programme Evaluation and Review Technique’. This book explains the theory behind the methods and makes effective use of learning outcomes, exercises, diagrams, and examples to provide clear and actionable knowledge for students and project managers. The book can be used as a classroom textbook or as a self-study guide for project managers taking their professional qualifications, and it includes examples from a wide range of project management scenarios. It is suitable for planning and scheduling courses in the fields of industrial, civil, and mechanical engineering, construction, and management.
Author: Jim Albert
Publisher: CRC Press
ISBN: 1351030132
Category : Mathematics
Languages : en
Pages : 553
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Book Description
Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The text introduces inference and prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced, Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents several case studies motivated by some historical Bayesian studies and the authors’ research. This text reflects modern Bayesian statistical practice. Simulation is introduced in all the probability chapters and extensively used in the Bayesian material to simulate from the posterior and predictive distributions. One chapter describes the basic tenets of Metropolis and Gibbs sampling algorithms; however several chapters introduce the fundamentals of Bayesian inference for conjugate priors to deepen understanding. Strategies for constructing prior distributions are described in situations when one has substantial prior information and for cases where one has weak prior knowledge. One chapter introduces hierarchical Bayesian modeling as a practical way of combining data from different groups. There is an extensive discussion of Bayesian regression models including the construction of informative priors, inference about functions of the parameters of interest, prediction, and model selection. The text uses JAGS (Just Another Gibbs Sampler) as a general-purpose computational method for simulating from posterior distributions for a variety of Bayesian models. An R package ProbBayes is available containing all of the book datasets and special functions for illustrating concepts from the book. A complete solutions manual is available for instructors who adopt the book in the Additional Resources section.
