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A basic course in probability theory / Rabi Bhattacharya, Edward C. Waymire
| A basic course in probability theory / Rabi Bhattacharya, Edward C. Waymire |
| Autore | Bhattacharya, Rabi |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XII, 265 p. ; 24 cm |
| Altri autori (Persone) | Waymire, Edward C. |
| Soggetto topico |
60Jxx - Markov processes [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020] |
| Soggetto non controllato |
Brownian Motion
Conditional expectation Conditional probability Markov Processes Martingales Probability Weak convergence Zero-one laws |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114242 |
Bhattacharya, Rabi
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
A basic course in probability theory / Rabi Bhattacharya, Edward C. Waymire
| A basic course in probability theory / Rabi Bhattacharya, Edward C. Waymire |
| Autore | Bhattacharya, Rabi |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XII, 265 p. ; 24 cm |
| Altri autori (Persone) | Waymire, Edward C. |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
60Jxx - Markov processes [MSC 2020] |
| Soggetto non controllato |
Brownian motion
Conditional expectation Conditional probability Markov Processes Martingales Probability Weak convergence Zero-one laws |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114242 |
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Bhattacharya, Rabi
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||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to probabilistic modeling / Pierre Brémaud
| An introduction to probabilistic modeling / Pierre Brémaud |
| Autore | Brémaud, Pierre |
| Pubbl/distr/stampa | New York, : Springer, 1988 |
| Descrizione fisica | XVI, 207 p. : ill. ; 25 cm |
| Soggetto topico | 60-XX - Probability theory and stochastic processes [MSC 2020] |
| Soggetto non controllato |
Branching processes
Coding Conditional probability Markov Chains Poisson processes Probability Theory Probability spaces Random variables Stochastic processes Variance |
| ISBN | 978-03-87964-60-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0053378 |
|
Brémaud, Pierre
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||
| New York, : Springer, 1988 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to probabilistic modeling / Pierre Brémaud
| An introduction to probabilistic modeling / Pierre Brémaud |
| Autore | Brémaud, Pierre |
| Pubbl/distr/stampa | New York, : Springer, 1988 |
| Descrizione fisica | xvi, 207 p. : ill. ; 25 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
60Kxx - Special processes [MSC 2020] 60Fxx - Limit theorems in probability theory [MSC 2020] |
| Soggetto non controllato |
Branching processes
Coding Conditional probability Markov Chains Poisson processes Probability Theory Probability spaces Random variables Stochastic processes Variance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0269006 |
|
Brémaud, Pierre
|
||
| New York, : Springer, 1988 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to probabilistic modeling / Pierre Brémaud
| An introduction to probabilistic modeling / Pierre Brémaud |
| Autore | Brémaud, Pierre |
| Pubbl/distr/stampa | New York, : Springer, 1988 |
| Descrizione fisica | xvi, 207 p. : ill. ; 25 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
60Fxx - Limit theorems in probability theory [MSC 2020] 60Kxx - Special processes [MSC 2020] |
| Soggetto non controllato |
Branching processes
Coding Conditional probability Markov Chains Poisson processes Probability spaces Probability theory Random Variables Stochastic processes Variance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to the basic concepts of probability theory: independence, expectation, convergence in law and almost-sure convergence. Short expositions of more advanced topics such as Markov Chains, Stochastic Processes, Bayesian Decision Theory and Information Theory. |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00269006 |
|
Brémaud, Pierre
|
||
| New York, : Springer, 1988 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to probabilistic modeling / Pierre Brémaud
| An introduction to probabilistic modeling / Pierre Brémaud |
| Autore | Brémaud, Pierre |
| Pubbl/distr/stampa | New York, : Springer, 1988 |
| Descrizione fisica | XVI, 207 p. : ill. ; 25 cm |
| Soggetto topico | 60-XX - Probability theory and stochastic processes [MSC 2020] |
| Soggetto non controllato |
Branching processes
Coding Conditional probability Markov Chains Poisson processes Probability spaces Probability theory Random Variables Stochastic processes Variance |
| ISBN | 978-03-87964-60-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00053378 |
|
Brémaud, Pierre
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||
| New York, : Springer, 1988 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied Probability / Frank A. Haight
| Applied Probability / Frank A. Haight |
| Autore | Haight, Frank A. |
| Pubbl/distr/stampa | New York, : Plenum, 1981 |
| Descrizione fisica | xi, 290 p. : ill. ; 24 cm |
| Soggetto topico |
60K25 - Queueing theory (aspects of probability theory) [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020] 60Exx - Distribution theory [MSC 2020] |
| Soggetto non controllato |
Binomial distribution
Conditional probability Markov Chains Measure Theory Operations Research Optimization Probability Probability distribution Random variables Stochastic processes Variance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268380 |
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Haight, Frank A.
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| New York, : Plenum, 1981 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applied Probability / Frank A. Haight
| Applied Probability / Frank A. Haight |
| Autore | Haight, Frank A. |
| Pubbl/distr/stampa | New York, : Plenum, 1981 |
| Descrizione fisica | xi, 290 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
60Exx - Distribution theory [MSC 2020] 60K25 - Queueing theory (aspects of probability theory) [MSC 2020] |
| Soggetto non controllato |
Binomial Distributions
Conditional probability Markov Chains Measure Theory Operations Research Optimization Probability Probability distributions Random Variables Stochastic processes Variance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Probability (including stochastic processes) is now being applied to virtually every academic discipline, especially to the sciences. An area of substantial application is that known as operations research or industrial engineering, which incorporates subjects such as queueing theory, optimization, and network flow. This book provides a compact introduction to that field for students with minimal preparation, knowing mainly calculus and having "mathe matical maturity." Beginning with the basics of probability, the develop ment is self-contained but not abstract, that is, without measure theory and its probabilistic counterpart. Although the text is reasonably short, a course based on this book will normally occupy two semesters or three quarters. There are many points in the discussions and problems which require the assistance of an instructor for completeness and clarity. The book is designed to give equal emphasis to those applications which motivate the subject and to appropriatemathematical techniques. Thus, the student who has successfully completed the course is ready to turn in either of two directions: towards direct study of research papers in operations research, or towards a course in abstract probability, for which this text provides the intuitive background. Frank A. Haight Pennsylvania State University vii Contents 1. Discrete Probability .................................................. 1 1.1. Applied Probability. . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2. Sample Spaces ......................................................... 3 1.3. Probability Distributions and Parameters. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.4. The Connection between Distributions and Sample Points: Random Variables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 . . . . . . . . . . . . . . . . . . . |
| Record Nr. | UNICAMPANIA-VAN00268380 |
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Haight, Frank A.
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| New York, : Plenum, 1981 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Automata Studies. (AM-34), Volume 34 / / J. McCarthy, C. E. Shannon
| Automata Studies. (AM-34), Volume 34 / / J. McCarthy, C. E. Shannon |
| Pubbl/distr/stampa | Princeton, NJ : , : Princeton University Press, , [2016] |
| Descrizione fisica | 1 online resource (297 pages) : illustrations |
| Disciplina |
621.38
621.34* |
| Collana | Annals of Mathematics Studies |
| Soggetto topico |
Machine theory
Conscious automata |
| Soggetto non controllato |
A Mathematical Theory of Communication
Abstraction (software engineering) Accuracy and precision Algebraic theory Arithmetic Automaton Axiom Binary number Biophysics Bit Boolean algebra (structure) Calculation Chaos theory Circuit design Classical conditioning Combination lock Combination Computable number Computation Concepts (C++) Conditional probability Connectivity (graph theory) Correlation and dependence Counterexample Counting Decision problem Description number Detection Determinism Deterministic system (philosophy) Diagram (category theory) Diagram Entscheidungsproblem Enumeration Equation Estimation Exponentiation Finite-state machine First principle Fixed point (mathematics) Function (mathematics) Gödel numbering Hardware random number generator Heuristic argument Instance (computer science) Interlacing (bitmaps) Intuitionistic logic Lebesgue measure Logarithm Logic Logical disjunction Markov chain Mathematical analysis Mathematical induction Mathematical logic Mathematical notation Mathematical theory Mathematics Measure (mathematics) Metamathematics Modular arithmetic Moment (mathematics) Moore machine Notation Number theory OR gate Parameter (computer programming) Parity (mathematics) Permutation Pilot plant Polynomial Primitive recursive function Probability measure Probability Proportionality (mathematics) Propositional function Quantity Recursion (computer science) Recursive set Recursively enumerable set Result Schematic Sequence Series (mathematics) Set theory Sheffer stroke Sign (mathematics) Solver Special case Stochastic process String (computer science) Subsequence Subset Theorem Thermodynamic equilibrium Trial and error Turing machine Typewriter Universal Turing machine Variable (mathematics) |
| ISBN | 1-4008-8261-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- Finite Automata -- Representation of Events in Nerve Nets and Finite Automata / Kleene, S. C. -- Probabilistic Logics and the Synthesis of Reliable Organisms From Unreliable Components / Neumann, J. von -- Some Uneconomical Robots / Culbertson, James T. -- Some Universal Elements for Finite Automata / Minsky, M. L. -- Gedanken-Experiments on Sequential Machines / Moore, Edward F. -- Turing Machines -- A Universal Turing Machine with Two Internal States / Shannon, Claude E. -- A Note on Universal Turing Machines / Davis, M. D. -- The Inversion of Functions Defined by Turing Machines / McCarthy, John -- Computability by Probabilistic Machines / Leeuw, K. de / Moore, E. F. / Shannon, C. E. / Shapiro, N. -- Synthesis of Automata -- Design for an Intelligence-Amplifier / Ashby, W. Ross -- The Epistemological Problem for Automata / MacKay, D. M. -- Conditional Probability Machines and Conditioned Reflexes / Uttley, Albert M. -- Temporal and Spatial Patterns in a Conditional Probability Machine / Uttley, Albert M. |
| Record Nr. | UNINA-9910154745703321 |
| Princeton, NJ : , : Princeton University Press, , [2016] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bayes Theory / J. A. Hartigan
| Bayes Theory / J. A. Hartigan |
| Autore | Hartigan, John A. |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1983 |
| Descrizione fisica | xii, 146 p. : ill. ; 24 cm |
| Soggetto non controllato |
Bayesian methods
Boundary Element Methods Conditional probability Finite Innovation Logic Objects Probability Probability axioms Probability distribution Proofs Shapes Similarity Techniques |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268567 |
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Hartigan, John A.
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| New York, : Springer-Verlag, 1983 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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