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By Subject > Science and Mathematics > Mathematics > Probability and Statistics
Recommendations...
 Probability, Statistics and Truth
by Richard von Mises
This comprehensive study of probability considers the approaches of Pascal, Laplace, Poisson, and others. It also discusses Laws of Large Numbers, the theory of errors, and other relevant topics.
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| |  Experimental Statistics
by Mary Gibbons Natrella
A handbook for those seeking engineering information and quantitative data for designing, developing, constructing, and testing equipment. Covers the planning of experiments, the analyzing of extreme-value data; and more. 1966 edition. Index. Includes 52 figures and 76 tables.
all books in Probability and Statistics
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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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 Statistical Inference
by Vijay K. Rohatgi
This treatment of probability and statistics examines discrete and continuous models, functions of random variables and random vectors, large-sample theory, more. Hundreds of problems (some with solutions). 1984 edition. Includes 144 figures and 35 tables.
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| |  Statistical and Inductive Probabilities
by Hugues Leblanc
This treatment addresses a decades-old dispute among probability theorists, asserting that both statistical and inductive probabilities may be treated as sentence-theoretic measurements, and that the latter qualify as estimates of the former. 1962 edition.
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 Statistics of Extremes
by E. J. Gumbel
This classic text covers order statistics and their exceedances; exact distribution of extremes; the 1st asymptotic distribution; uses of the 1st, 2nd, and 3rd asymptotes; more. 1958 edition. Includes 44 tables and 97 graphs.
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| |  Chance, Luck, and Statistics
by Horace C. Levinson
In simple, non-technical language, this volume explores the fundamentals governing chance and applies them to sports, government, and business. "Clear and lively ... remarkably accurate." — Scientific Monthly.
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| Products in Probability and Statistics | | |  | Applied Matrix Algebra in the Statistical Sciences
by Alexander Basilevsky
This comprehensive text offers teachings relevant to both applied and theoretical branches of matrix algebra and provides a bridge between linear algebra and statistical models. Appropriate for advanced undergraduate and graduate students. 1983 edition.
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| |  | Applied Probability Models with Optimization Applications
by Sheldon M. Ross
Concise advanced-level introduction to stochastic processes that arise in applied probability. Poisson process, renewal theory, Markov chains, Brownian motion, much more. Problems. References. Bibliography. 1970 edition.
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|  | Basic Probability Theory
by Robert B. Ash
This text emphasizes the probabilistic way of thinking, rather than measure-theoretic concepts. Geared toward advanced undergraduates and graduate students, it features solutions to some of the problems. 1970 edition.
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|  | Branching Processes
by K. B. Athreya, P. E. Ney
This unified treatment surveys the Galton-Watson process, potential theory, one dimensional continuous time Markov branching processes, age-dependent processes, multi-type branching processes, and special processes. Appropriate for graduate and advanced undergraduate students. 1972 edition.
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| | Chance, Luck, and Statistics
by Horace C. Levinson
In simple, non-technical language, this volume explores the fundamentals governing chance and applies them to sports, government, and business. "Clear and lively ... remarkably accurate." — Scientific Monthly.
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| | Experimental Statistics
by Mary Gibbons Natrella
A handbook for those seeking engineering information and quantitative data for designing, developing, constructing, and testing equipment. Covers the planning of experiments, the analyzing of extreme-value data; and more. 1966 edition. Index. Includes 52 figures and 76 tables.
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|  | Fifty Challenging Problems in Probability with Solutions
by Frederick Mosteller
Remarkable puzzlers, graded in difficulty, illustrate elementary and advanced aspects of probability. These problems were selected for originality, general interest or because they demonstrate valuable techniques. Also includes detailed solutions.
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|  | The Foundation of Statistics
by Leonard J. Savage
Classic analysis of foundation of statistics and development of personal probability, one of the greatest controversies in modern statistical thought. Revised edition. Calculus, probability, statistics and Boolean algebra are recommended.
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|  | Foundations of Probability
by Alfred Renyi
Taking an innovative approach to both content and methods, this book explores the foundations, basic concepts, and fundamental results of probability theory, plus mathematical notions of experiments and independence. 1970 edition.
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| |  | Good Thinking: The Foundations of Probability and Its Applications
by Irving John Good
This in-depth treatment of probability theory by a famous British statistician explores Keynesian principles and surveys such topics as Bayesian rationality, corroboration, hypothesis testing, and mathematical tools for induction and simplicity. 1983 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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| | 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 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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|  | Markov Processes and Potential Theory
by Robert M. Blumenthal, Ronald K. Getoor
This graduate-level text explores the relationship between Markov processes and potential theory in terms of excessive functions, multiplicative functionals and subprocesses, additive functionals and their potentials, and dual processes. 1968 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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|  | 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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