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 | Harmonic Analysis and the Theory of Probability
by Salomon Bochner
Written by a distinguished mathematician and educator, this classic text emphasizes stochastic processes and the interchange of stimuli between probability and analysis. It also introduces the author's innovative concept of the characteristic functional. 1955 edition.
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 | Individual Choice Behavior: A Theoretical Analysis
by R. Duncan Luce
This treatise presents a mathematical analysis of choice behavior. Starting with a general axiom, it then examines applications of the theory to substantive problems: psychophysics, utility, and learning. 1959 edition.
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 | Integration, Measure and Probability
by H. R. Pitt
Introductory treatment develops the theory of integration in a general context, making it applicable to other branches of analysis. More specialized topics include convergence theorems and random sequences and functions. 1963 edition.
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 | Introduction to Probability
by John E. Freund
Featured topics include permutations and factorials, probabilities and odds, frequency interpretation, mathematical expectation, decision making, postulates of probability, rule of elimination, much more. Exercises with some solutions. Summary. 1973 edition.
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 | Introduction to Statistical Inference
by E. S. Keeping
This excellent text emphasizes the inferential and decision-making aspects of statistics. The first chapter is mainly concerned with the elements of the calculus of probability. Additional chapters cover the general properties of distributions, testing hypotheses, and more.
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 | Introduction to Stochastic Processes
by Erhan Cinlar
Clear presentation employs methods that recognize computer-related aspects of theory. Topics include expectations and independence, Bernoulli processes and sums of independent random variables, Markov chains, renewal theory, more. 1975 edition.
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 | Introduction to the Theory of Random Processes
by I. I. Gikhman, A. V. Skorokhod
Rigorous exposition suitable for elementary instruction. Covers measure theory, axiomatization of probability theory, processes with independent increments, Markov processes and limit theorems for random processes, more. Introduction. Bibliography. 1969 edition.
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 | Lectures on the Coupling Method
by Torgny Lindvall
Practical and easy-to-use reference progresses from simple to advanced topics, covering, among other topics, renewal theory, Markov chains, Poisson approximation, ergodicity, and Strassen's theorem. 1992 edition.
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 | The Logic of Chance
by John Venn
No mathematical background is necessary to appreciate this classic of probability theory, which remains unsurpassed in its clarity and readability. It explores physical foundations, logical superstructure, and applications. 1888 edition.
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 | Mathematical Foundations of Quantum Statistics
by A. Y. Khinchin
A coherent, well-organized look at the basis of quantum statistics’ computational methods, the determination of the mean values of occupation numbers, the foundations of the statistics of photons and material particles, thermodynamics.
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 | Mathematical Methods in the Theory of Queuing
by A. Y. Khinchin, D. M. Andrews, M. H. Quenouille
Written by a prominent Russian mathematician, this concise monograph examines aspects of queuing theory as an application of probability. Prerequisites include a familiarity with the theory of probability and mathematical analysis. 1960 edition.
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 | Monte Carlo Principles and Neutron Transport Problems
by Jerome Spanier, Ely M. Gelbard
This introductory treatment focuses on methods of superposition and reciprocity, illustrating applications that include computation of thermal neutron fluxes and the superposition principle in resonance escape computations. 1969 edition.
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 | Outline of Basic Statistics: Dictionary and Formulas
by John E. Freund, Frank J. Williams
Handy guide includes a 70-page outline of essential statistical formulas covering grouped and ungrouped data, finite populations, probability, and more, plus over 1,000 clear, concise definitions of statistical terms. 1966 edition.
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 | A Philosophical Essay on Probabilities
by Marquis de Laplace
Without the use of higher mathematics, this classic demonstrates the application of probability to games of chance, physics, reliability of witnesses, astronomy, insurance, democratic government, and many other areas.
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 | Practical Statistics Simply Explained
by Dr. Russell A. Langley
Primer on how to draw valid conclusions from numerical data using logic and the philosophy of statistics rather than complex formulae. Discusses averages and scatter, investigation design, more. Problems, solutions.
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 | Principles of Statistics
by M. G. Bulmer
Concise description of classical statistics, from basic dice probabilities to modern regression analysis. Equal stress on theory and applications. Moderate difficulty; only basic calculus required. Includes problems with answers.
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 | Probabilistic Metric Spaces
by B. Schweizer, A. Sklar
Topics include special classes of probabilistic metric spaces, topologies, and several related structures, such as probabilistic normed and inner-product spaces. 1983 edition, updated with 3 new appendixes. Includes 17 illustrations.
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 | Probability Theory
by Alfred Renyi
This introductory text features problems and exercises illustrating algebras of events, discrete random variables, characteristic functions, and limit theorems. An extensive appendix introduces information theory. 1970 edition.
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 | Probability Theory: A Concise Course
by Y. A. Rozanov
This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli trials and the De Moivre-Laplace theorem, and more. Includes 150 problems, many with answers.
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