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A Treatise on Probability
logical relationships between classifying a proposition as ''highly probable'' and as a ''justifiable induction.''A Treatise on Probability;
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A Treatise on Probability
logical relationships between classifying a proposition as ''highly probable'' and as a ''justifiable induction.''A Treatise on Probability;
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The Error of Truth
in business, engineering, medicine, economics, and elsewhere. Probability is the foundation of quantitative thinking. The Error of Truth tells its;
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The Science of Conjecture - Evidence and Probability before Pascal
How did we make reliable predictions before Pascal and Fermat's discovery of the mathematics of probability in 1654? What methods in law;
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Counterexamples in Probability
teaching, learning, and research. This third edition of the definitive book on counterexamples in probability and stochastic processes presents the;
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Schaum's Outline of Logic
logic (propositional calculus, truth tables, venn diagrams) as well as on fallacies, deduction and induction, probability, and other major;
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Epistemic Justification
the believer is justified in holding? He maps the various totally different and purportedly rival accounts that philosophers give of epistemic;
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Truth and Probability
especially truth-value (substitutional) semantics, probabilistic interpretations for classical and intuitionistic logic and natural deduction;
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A Philosophical Introduction to Probability
Not limited to merely mathematics, probability has a rich and controversial philosophical aspect. A Philosophical Introduction to;
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Probability, Econometrics and Truth
When John Maynard Keynes likened Jan Tinbergen's early work in econometrics to black magic and alchemy, he was expressing a widely held;
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Probability, Econometrics and Truth
When John Maynard Keynes likened Jan Tinbergen's early work in econometrics to black magic and alchemy, he was expressing a widely held;
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The Exchange of Truth
"For the wrath of God is revealed from heaven against all the ungodliness and unrighteousness of men, who suppress the truth;
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First Course in Probability
A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory;
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A First Course in Probability, Global Edition
For upper-level to graduate courses in Probability or Probability and Statistics, for majors in mathematics, statistics, engineering, and;
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A First Course in Probability and Markov Chains
in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first part explores;
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Modern Probability Theory and Its Applications
Mathematical probability theory is especially interesting to scientists and engineers. This work introduces probability theory, showing how;
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Understanding Logic
the truth tree technique for propositional and predicate logic. Topic coverage includes four chapters devoted to induction: on analogies, on;
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Schaums Outline Of Introduction To Probability And Statistic
and supplements the leading probability and statistics textbooksAppropriate for the following courses: Introduction to Probability and;
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Probability For Dummies
Packed with practical tips and techniques for solving probability problems Increase your chances of acing that probability exam -- or;
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Handbook of Probability
THE COMPLETE COLLECTION NECESSARY FOR A CONCRETE UNDERSTANDING OF PROBABILITY Written in a clear, accessible, and comprehensive manner, the;
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Schaum's Outline of Probability, Third Edition
Study smarter and stay on top of your probability course with the bestselling Schaum's Outline-now with the NEW Schaum's app and website;
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Probability
Probability: A Philosophical Introduction introduces and explains the principal concepts and applications of probability. It is intended;
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Probability
Probability: A Philosophical Introduction introduces and explains the principal concepts and applications of probability. It is intended;
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Philosophy of Probability
Mises, and many others, the book looks in depth at the following key topics: subjective probability and credence;
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Philosophy of Probability
Mises, and many others, the book looks in depth at the following key topics: subjective probability and credence;
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Probability
blended with coverage of probability laws, random variables, and distribution theory, equipping the reader to be a true problem solver and;
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