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A Course in Computational Probability and Statistics / Walter Freiberger, Ulf Grenander
| A Course in Computational Probability and Statistics / Walter Freiberger, Ulf Grenander |
| Autore | Freiberger, Walter |
| Pubbl/distr/stampa | New York, : Springer, 1971 |
| Descrizione fisica | xii, 156 p. : ill. ; 24 cm |
| Altri autori (Persone) | Grenander, Ulf |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
65C05 - Monte Carlo methods [MSC 2020] 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Analysis of variance
Applied Mathematics Computation Convolution Development Probability Randomness Simula Simulation Statistics Stochastic processes |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0267587 |
Freiberger, Walter
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| New York, : Springer, 1971 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
| A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru |
| Autore | Bhattacharya, Rabi |
| Pubbl/distr/stampa | New York, : Springer, 2016 |
| Descrizione fisica | XI, 389 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Lin, Lizhen
Patrangenaru, Victor |
| Soggetto topico |
65C05 - Monte Carlo methods [MSC 2020]
62B05 - Sufficient statistics and fields [MSC 2020] 62-XX - Statistics [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 62Dxx - Statistical sampling theory and related topics [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62C05 - General considerations in statistical decision theory [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 60J05 - Discrete-time Markov processes on general state spaces [MSC 2020] |
| Soggetto non controllato |
Asymptotic Distribution
Bayes estimators Bayes rules Bootstrap Confidence Intervals Cramer-Rao Inequality Curve estimation Decision theory Gauss-Markov Theorem Large sample theory Linear Models Markov Chain Monte Carlo Simulation Neyman-Pearson lemma Nonparametric Parametric Unbiased estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114246 |
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Bhattacharya, Rabi
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| New York, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
| A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru |
| Autore | Bhattacharya, Rabi |
| Edizione | [New York : Springer, 2016] |
| Pubbl/distr/stampa | XI, 389 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) |
Lin, Lizhen
Patrangenaru, Victor |
| Soggetto topico |
65C05 - Monte Carlo methods [MSC 2020]
62B05 - Sufficient statistics and fields [MSC 2020] 62-XX - Statistics [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 62Dxx - Statistical sampling theory and related topics [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62C05 - General considerations in statistical decision theory [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 60J05 - Discrete-time Markov processes on general state spaces [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114246 |
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Bhattacharya, Rabi
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| XI, 389 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A panorama of discrepancy theory / W. Chen, A. Srivastav, G. Travaglini editors
| A panorama of discrepancy theory / W. Chen, A. Srivastav, G. Travaglini editors |
| Pubbl/distr/stampa | Cham, : Springer, 2014 |
| Descrizione fisica | XVI, 695 p. ; 24 cm |
| Soggetto topico |
65C05 - Monte Carlo methods [MSC 2020]
68Wxx - Algorithms in computer science [MSC 2020] 11D75 - Diophantine inequalities [MSC 2020] 11B25 - Arithmetic progressions [MSC 2020] 11P21 - Lattice points in specified regions [MSC 2020] 65D30 - Numerical integration [MSC 2020] 11K60 - Diophantine approximation in probabilistic number theory [MSC 2020] 42A38 - Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type [MSC 2020] 11J71 - Distribution modulo one [MSC 2020] 11K45 - Pseudo-random numbers; Monte Carlo methods [MSC 2020] 11K38 - Irregularities of distribution, discrepancy [MSC 2020] 11K06 - General theory of distribution modulo $1$ [MSC 2020] 42B10 - Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type [MSC 2020] |
| Soggetto non controllato |
Algorithmic complexity
Combinatorial Discrepancy Combinatorics Counting Problems Geometric Discrepancy Quasi-Monte Carlo Integration |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0101529 |
| Cham, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A panorama of discrepancy theory / W. Chen, A. Srivastav, G. Travaglini editors
| A panorama of discrepancy theory / W. Chen, A. Srivastav, G. Travaglini editors |
| Edizione | [Cham : Springer, 2014] |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
65C05 - Monte Carlo methods [MSC 2020]
68Wxx - Algorithms in computer science [MSC 2020] 11D75 - Diophantine inequalities [MSC 2020] 11B25 - Arithmetic progressions [MSC 2020] 11P21 - Lattice points in specified regions [MSC 2020] 65D30 - Numerical integration [MSC 2020] 11K60 - Diophantine approximation in probabilistic number theory [MSC 2020] 42A38 - Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type [MSC 2020] 11J71 - Distribution modulo one [MSC 2020] 11K45 - Pseudo-random numbers; Monte Carlo methods [MSC 2020] 11K38 - Irregularities of distribution, discrepancy [MSC 2020] 11K06 - General theory of distribution modulo $1$ [MSC 2020] 42B10 - Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0101529 |
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A Stochastic Model for Immunological Feedback in Carcinogenesis : Analysis and Approximations / Neil Dubin
| A Stochastic Model for Immunological Feedback in Carcinogenesis : Analysis and Approximations / Neil Dubin |
| Autore | Dubin, Neil |
| Pubbl/distr/stampa | Berlin, : Springer, 1976 |
| Descrizione fisica | x, 163 p. : ill. ; 24 cm |
| Soggetto topico |
60J80 - Branching processes (Galton-Watson, birth-and-death, etc.) [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020] 65C05 - Monte Carlo methods [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] 41A45 - Approximation by arbitrary linear expressions [MSC 2020] 60J85 - Applications of branching processes [MSC 2020] |
| Soggetto non controllato |
Approximations
Birth and Death Process Cancer Carcinogenesis Derivations Functions Immunology Mathematical induction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0256670 |
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Dubin, Neil
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| Berlin, : Springer, 1976 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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An Introduction to Sequential Monte Carlo / Nicolas Chopin, Omiros Papaspiliopoulos
| An Introduction to Sequential Monte Carlo / Nicolas Chopin, Omiros Papaspiliopoulos |
| Autore | Chopin, Nicolas |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxvi, 559 p. : ill. ; 24 cm |
| Altri autori (Persone) | Papaspiliopoulos, Omiros |
| Soggetto topico |
65C05 - Monte Carlo methods [MSC 2020]
62-XX - Statistics [MSC 2020] 62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 62L12 - Sequential estimation [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Data-driven science, modeling and theory building Feynman-Kac models Hidden Markov models Markov Chain Monte Carlo Particle filter Sequential Monte Carlo Sequential learning State-space models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248680 |
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Chopin, Nicolas
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applications of measure theory to statistics / Gogi Pantsulaia
| Applications of measure theory to statistics / Gogi Pantsulaia |
| Autore | Pantsulaia, Gogi |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XV, 134 p. : ill. ; 24 cm |
| Soggetto topico |
28-XX - Measure and integration [MSC 2020]
65C05 - Monte Carlo methods [MSC 2020] 28C10 - Set functions and measures on topological groups, Haar measures, invariant measures [MSC 2020] 65D30 - Numerical integration [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] |
| Soggetto non controllato |
Haar ambivalent set
Harr null set Measure Theory Objective estimations of an unknown parameter Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114438 |
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Pantsulaia, Gogi
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applications of measure theory to statistics / Gogi Pantsulaia
| Applications of measure theory to statistics / Gogi Pantsulaia |
| Autore | Pantsulaia, Gogi |
| Edizione | [[Cham] : Springer, 2016] |
| Pubbl/distr/stampa | XV, 134 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
28-XX - Measure and integration [MSC 2020]
65C05 - Monte Carlo methods [MSC 2020] 28C10 - Set functions and measures on topological groups, Haar measures, invariant measures [MSC 2020] 65D30 - Numerical integration [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114438 |
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Pantsulaia, Gogi
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| XV, 134 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Deterministic and Stochastic Error Bounds in Numerical Analysis / Erich Novak
| Deterministic and Stochastic Error Bounds in Numerical Analysis / Erich Novak |
| Autore | Novak, Erich |
| Pubbl/distr/stampa | Berlin, : Springer, 1988 |
| Descrizione fisica | viii, 124 p. ; 24 cm |
| Soggetto topico |
65-XX - Numerical analysis [MSC 2020]
65C05 - Monte Carlo methods [MSC 2020] 65Kxx - Numerical methods for mathematical programming, optimization and variational techniques [MSC 2020] 65Dxx - Numerical approximation and computational geometry (primarily algorithms) [MSC 2020] 65Gxx - Error analysis and interval analysis [MSC 2020] |
| Soggetto non controllato |
Algorithms
Approximation Approximation theory Calculus Monte Carlo Methods Numerical Analysis Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0264412 |
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Novak, Erich
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| Berlin, : Springer, 1988 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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