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Additive and Cancellative Interacting Particle Systems (Lecture Notes in Mathematics) by David Griffeath (Repost)
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Advances in Complex Function Theory (Lecture Notes in Mathematics) by W. E. Kirwan (Repost)
Matrix Mathematics - Theory, Facts, and Formulas, Second Edition
Mathematics Probability, Markov Chains, Queues, and Simulation - The Mathematical Basis of Performance Modeling
Algebraic Aspects of Cryptography (Algorithms and Computation in Mathematics) by Neal Koblitz (Repost)
Mathematics Mathematical Foundations of Computer Science 2004 [Repost]
Mathematics Mathematical Logic for Computer Science (3rd edition)
Spaces of Holomorphic Functions in the Unit Ball (Graduate Texts in Mathematics) by Kehe Zhu (Repost)
An Introduction to Ergodic Theory (Graduate Texts in Mathematics) by Peter Walters (Repost)
Mathematics Symmetry Theory in Molecular Physics with Mathematica: A new kind of tutorial book (Repost)
-Mathematics for the Physical Sciences- by Herbert S. Wilf
Mathematics for Elementary Teachers - A Conceptual Approach, 9 edition
Computer-Enabled Mathematics - Integrating Experiment and Theory in Teacher Education
How to Fold It - The Mathematics of Linkages, Origami and Polyhedra
Mathematics Engineering Analysis: Interactive Methods and Programs with FORTRAN, QuickBASIC, MATLAB, and Mathematica [Repost]
Mathematics Maverick Mathematician: The Life and Science of J.E. Moyal
African Mathematics: From Bones to Computers (repost)
Topology (Allyn and Bacon Series in Advanced Mathematics) by James Dugundji
Mathematics Fundamentals of Algebraic Modeling - An Introduction to Mathematical Modeling with Algebra and Statistics, 5 edition
Mathematics LMSST - 24 Lectures on Elliptic Curves (London Mathematical Society Student Texts) by J. W. S. Cassels
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Mathematics Probability Demystified (RE-UPLOAD)
Posted on 2010-04-12
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More Allan G. Bluman, ?Probability Demystified (RE-UPLOAD)? Many people do not understand the basic concepts of probability, as evidenced by the proliferation of those participating in lotteries, horse racing, and gambling at casinos. But probability and statistics are becoming increasingly important in today¡¯s society. As the basic ideas are being taught in elementary schools through college, it¡¯s important that everyone has a basic understanding of probability theory. Probability theory explains the happenings that occur due to chance. Although it is not possible to predict for certain the individual outcome of a chance process, it is possible to determine outcomes in the ¡°long run,¡± and to predict the probability that something will eventually occur. This book will present the basics of probability in a non-rigorous manner. Only an understanding of arithmetic and some basic algebra are necessary to learn these ideas. No high-powered mathematical notation or formal proofs will be used, rather the concepts will be developed from examples using coins, dice, cards, and other common probability devices.
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