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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 |
Bhattacharya, Rabi
|
||
| New York, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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 |
60J05 - Discrete-time Markov processes on general state spaces [MSC 2020]
62-XX - Statistics [MSC 2020] 62B05 - Sufficient statistics and fields [MSC 2020] 62C05 - General considerations in statistical decision theory [MSC 2020] 62Dxx - Statistical sampling theory and related topics [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 65C05 - Monte Carlo methods [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-VAN00114246 |
|
Bhattacharya, Rabi
|
||
| New York, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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 |
|
Bhattacharya, Rabi
|
||
| XI, 389 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Denumerable Markov Chains : with a chapter of Markov Random Fields by David Griffeath / John G. Kemeny, J. Laurie Snell, Anthony W. Knapp
| Denumerable Markov Chains : with a chapter of Markov Random Fields by David Griffeath / John G. Kemeny, J. Laurie Snell, Anthony W. Knapp |
| Autore | Kemeny, John G. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | New York, : Springer, 1976 |
| Descrizione fisica | xii, 484 p. ; 24 cm |
| Altri autori (Persone) |
Knapp, Anthony W.
Snell, J. Laurie |
| Soggetto topico |
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020] 60J05 - Discrete-time Markov processes on general state spaces [MSC 2020] |
| Soggetto non controllato |
Brownian Motion
Chains Markov Markov Chains Markov property Martingales Measure Theory Random Walks Random variables Stochastic processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268010 |
|
Kemeny, John G.
|
||
| New York, : Springer, 1976 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Denumerable Markov Chains : with a chapter of Markov Random Fields by David Griffeath / John G. Kemeny, J. Laurie Snell, Anthony W. Knapp
| Denumerable Markov Chains : with a chapter of Markov Random Fields by David Griffeath / John G. Kemeny, J. Laurie Snell, Anthony W. Knapp |
| Autore | Kemeny, John G. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | New York, : Springer, 1976 |
| Descrizione fisica | xii, 484 p. ; 24 cm |
| Altri autori (Persone) |
Knapp, Anthony W.
Snell, J. Laurie |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
60J05 - Discrete-time Markov processes on general state spaces [MSC 2020] 60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] |
| Soggetto non controllato |
Brownian Motion
Chains Markov Markov Chains Markov property Martingales Measure Theory Random Walks Random variables Stochastic processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00268010 |
|
Kemeny, John G.
|
||
| New York, : Springer, 1976 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Dynamical systems on networks : a tutorial / Mason A. Porter, James P. Gleeson
| Dynamical systems on networks : a tutorial / Mason A. Porter, James P. Gleeson |
| Autore | Porter, Mason A. |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | XIV, 80 p. : ill. ; 24 cm |
| Altri autori (Persone) | Gleeson, James P. |
| Soggetto topico |
82C41 - Dynamics of random walks, random surfaces, lattice animals, etc. in time-dependent statistical mechanics [MSC 2020]
37-XX - Dynamical systems and ergodic theory [MSC 2020] 82C44 - Dynamics of disordered systems (random Ising systems, etc.) in time-dependent statistical mechanics [MSC 2020] 37A60 - Dynamical aspects of statistical mechanics [MSC 2020] 90B10 - Deterministic network models in operations research [MSC 2020] 92C42 - Systems biology, networks [MSC 2020] 90B15 - Stochastic network models in operations research [MSC 2020] 05C82 - Small world graphs, complex networks (graph-theoretic aspects) [MSC 2020] 91D30 - Social networks; opinion dynamics [MSC 2020] 82C26 - Dynamic and nonequilibrium phase transitions (general) in statistical mechanics [MSC 2020] 60J05 - Discrete-time Markov processes on general state spaces [MSC 2020] 82C43 - Time-dependent percolation in statistical mechanics [MSC 2020] |
| Soggetto non controllato |
Compartmental models and biological applications
Complex Networks Coupled oscillators Dynamical systems Dynamical systems on networks Dynamics Mean-field theories Networks Percolation Social dynamics Systems biology Temporal dynamics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114649 |
|
Porter, Mason A.
|
||
| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Dynamical systems on networks : a tutorial / Mason A. Porter, James P. Gleeson
| Dynamical systems on networks : a tutorial / Mason A. Porter, James P. Gleeson |
| Autore | Porter, Mason A. |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | XIV, 80 p. : ill. ; 24 cm |
| Altri autori (Persone) | Gleeson, James P. |
| Soggetto topico |
05C82 - Small world graphs, complex networks (graph-theoretic aspects) [MSC 2020]
37-XX - Dynamical systems and ergodic theory [MSC 2020] 37A60 - Dynamical aspects of statistical mechanics [MSC 2020] 60J05 - Discrete-time Markov processes on general state spaces [MSC 2020] 82C26 - Dynamic and nonequilibrium phase transitions (general) in statistical mechanics [MSC 2020] 82C41 - Dynamics of random walks, random surfaces, lattice animals, etc. in time-dependent statistical mechanics [MSC 2020] 82C43 - Time-dependent percolation in statistical mechanics [MSC 2020] 82C44 - Dynamics of disordered systems (random Ising systems, etc.) in time-dependent statistical mechanics [MSC 2020] 90B10 - Deterministic network models in operations research [MSC 2020] 90B15 - Stochastic network models in operations research [MSC 2020] 91D30 - Social networks; opinion dynamics [MSC 2020] 92C42 - Systems biology, networks [MSC 2020] |
| Soggetto non controllato |
Compartmental models and biological applications
Complex Networks Coupled oscillators Dynamical systems Dynamical systems on networks Dynamics Mean-field theories Networks Percolation Social dynamics Systems biology Temporal dynamics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114649 |
|
Porter, Mason A.
|
||
| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Dynamical systems on networks : a tutorial / Mason A. Porter, James P. Gleeson
| Dynamical systems on networks : a tutorial / Mason A. Porter, James P. Gleeson |
| Autore | Porter, Mason A. |
| Edizione | [Cham : Springer, 2016] |
| Pubbl/distr/stampa | XIV, 80 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Gleeson, James P. |
| Soggetto topico |
82C41 - Dynamics of random walks, random surfaces, lattice animals, etc. in time-dependent statistical mechanics [MSC 2020]
37-XX - Dynamical systems and ergodic theory [MSC 2020] 82C44 - Dynamics of disordered systems (random Ising systems, etc.) in time-dependent statistical mechanics [MSC 2020] 37A60 - Dynamical aspects of statistical mechanics [MSC 2020] 90B10 - Deterministic network models in operations research [MSC 2020] 92C42 - Systems biology, networks [MSC 2020] 90B15 - Stochastic network models in operations research [MSC 2020] 05C82 - Small world graphs, complex networks (graph-theoretic aspects) [MSC 2020] 91D30 - Social networks; opinion dynamics [MSC 2020] 82C26 - Dynamic and nonequilibrium phase transitions (general) in statistical mechanics [MSC 2020] 60J05 - Discrete-time Markov processes on general state spaces [MSC 2020] 82C43 - Time-dependent percolation in statistical mechanics [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114649 |
|
Porter, Mason A.
|
||
| XIV, 80 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Elements of probability and statistics : an introduction to probability with de Finetti’s approach and to bayesian statistics / Francesca Biagini, Massimo Campanino
| Elements of probability and statistics : an introduction to probability with de Finetti’s approach and to bayesian statistics / Francesca Biagini, Massimo Campanino |
| Autore | Biagini, Francesca |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XV, 246 p. : ill. ; 24 cm |
| Altri autori (Persone) | Campanino, Massimo |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62C12 - Empirical decision procedures; empirical Bayes procedures [MSC 2020] 60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020] 60J05 - Discrete-time Markov processes on general state spaces [MSC 2020] |
| Soggetto non controllato |
Bayesian Statistics
Conditional expectation Logical dependence Markov Chains Probability |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114668 |
|
Biagini, Francesca
|
||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Elements of probability and statistics : an introduction to probability with de Finetti’s approach and to bayesian statistics / Francesca Biagini, Massimo Campanino
| Elements of probability and statistics : an introduction to probability with de Finetti’s approach and to bayesian statistics / Francesca Biagini, Massimo Campanino |
| Autore | Biagini, Francesca |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XV, 246 p. : ill. ; 24 cm |
| Altri autori (Persone) | Campanino, Massimo |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
60J05 - Discrete-time Markov processes on general state spaces [MSC 2020] 60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020] 62-XX - Statistics [MSC 2020] 62C12 - Empirical decision procedures; empirical Bayes procedures [MSC 2020] |
| Soggetto non controllato |
Bayesian Statistics
Conditional expectation Logical dependence Markov Chains Probability |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114668 |
|
Biagini, Francesca
|
||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Soggetto topico
-
60J05 - Discrete-time Markov processes on general state spaces [MSC 2020]
(23)
- 62-XX - Statistics [MSC 2020] (8)
- 60-XX - Probability theory and stochastic processes [MSC 2020] (7)
- 60F05 - Central limit and other weak theorems [MSC 2020] (6)
- 62E20 - Asymptotic distribution theory in statistics [MSC 2020] (6)