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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
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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 |
| 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 |
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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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An introduction to Bartlett correction and bias reduction / Gauss M. Cordeiro, Francisco Cribari-Neto
| An introduction to Bartlett correction and bias reduction / Gauss M. Cordeiro, Francisco Cribari-Neto |
| Autore | Cordeiro, Gauss M. |
| Pubbl/distr/stampa | Berlin, : Springer, 2014 |
| Descrizione fisica | XI, 107 p. ; 24 cm |
| Altri autori (Persone) | Cribari-Neto, Francisco |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] |
| Soggetto non controllato |
Bartlett correction
Bartlett-type correction Bootstrap Hypothesis Testing Maximum Likelihood |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0104174 |
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Cordeiro, Gauss M.
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| Berlin, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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An introduction to Bartlett correction and bias reduction / Gauss M. Cordeiro, Francisco Cribari-Neto
| An introduction to Bartlett correction and bias reduction / Gauss M. Cordeiro, Francisco Cribari-Neto |
| Autore | Cordeiro, Gauss M. |
| Pubbl/distr/stampa | Berlin, : Springer, 2014 |
| Descrizione fisica | XI, 107 p. ; 24 cm |
| Altri autori (Persone) | Cribari-Neto, Francisco |
| Soggetto topico |
62F03 - Parametric hypothesis testing [MSC 2020]
62F10 - Point estimation [MSC 2020] |
| Soggetto non controllato |
Bartlett correction
Bartlett-type correction Bootstrap Hypothesis Testing Maximum Likelihood |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00104174 |
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Cordeiro, Gauss M.
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| Berlin, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors
| Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | ix, 207 p. : ill. ; 24 cm |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
62Mxx - Inference from stochastic processes [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] |
| Soggetto non controllato |
Analytical methods
Asymptotic analysis Bootstrap Estimation and hypothesis testing Fisher information Heavy tails Long-memory processes Minimization of divergence Probability distribution Quantile regression Regression Resampling Shape constrains Statistical inference Stochastic processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123903 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors
| Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | ix, 207 p. : ill. ; 24 cm |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62Mxx - Inference from stochastic processes [MSC 2020] |
| Soggetto non controllato |
Analytical methods
Asymptotic analysis Bootstrap Estimation and hypothesis testing Fisher information Heavy tails Long-memory processes Minimization of divergence Probability distribution Quantile regression Regression Resampling Shape constrains Statistical inference Stochastic processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123903 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bootstrap methods : a practitioner's guide / Michael R. Chernick
| Bootstrap methods : a practitioner's guide / Michael R. Chernick |
| Autore | Chernick, Michael R. |
| Pubbl/distr/stampa | New York : Wiley, 1999 |
| Descrizione fisica | XVI, 264 p. ; 24 cm |
| Disciplina | 519.544 |
| Collana | Wiley series in probability and statistics |
| Soggetto non controllato |
Inferenza statistica
Inferenza non parametrica Bootstrap |
| ISBN | 0-471-34912-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-990003689480403321 |
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Chernick, Michael R.
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| New York : Wiley, 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bootstrap methods and their applications / A.C. Davidson, D.V. Hinkley
| Bootstrap methods and their applications / A.C. Davidson, D.V. Hinkley |
| Autore | Davison, Anthony Christopher |
| Pubbl/distr/stampa | Cambridge : Cambridge University press, c1997 |
| Descrizione fisica | x, 582 p. ; 25 cm + dischetto |
| Disciplina | 519.5 |
| Collana | Cambridge series in statistical and probabilistic mathematics |
| Soggetto non controllato |
Inferenza statistica
Inferenza non parametrica Bootstrap |
| ISBN | 0-521-57471-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-990002893610403321 |
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Davison, Anthony Christopher
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| Cambridge : Cambridge University press, c1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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High-Frequency Statistics with Asynchronous and Irregular Data / Ole Martin
| High-Frequency Statistics with Asynchronous and Irregular Data / Ole Martin |
| Autore | Martin, Ole |
| Pubbl/distr/stampa | Wiesbaden, : Springer spektrum, 2019 |
| Descrizione fisica | xiii, 323 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] |
| Soggetto non controllato |
Asynchronous data
Asynchronous observations Bootstrap Bootstrapping asymptotic laws Central limit theorems Common jumps Estimating quadratic covariation High-frequency statistics Irregular data Laws of large numbers Quadratic covariation Quantitative Finance Random observation schemes Random observations Test for common jumps Test for jumps |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126614 |
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Martin, Ole
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| Wiesbaden, : Springer spektrum, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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High-Frequency Statistics with Asynchronous and Irregular Data / Ole Martin
| High-Frequency Statistics with Asynchronous and Irregular Data / Ole Martin |
| Autore | Martin, Ole |
| Pubbl/distr/stampa | Wiesbaden, : Springer spektrum, 2019 |
| Descrizione fisica | xiii, 323 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] |
| Soggetto non controllato |
Asynchronous data
Asynchronous observations Bootstrap Bootstrapping asymptotic laws Central limit theorems Common jumps Estimating quadratic covariation High-frequency statistics Irregular data Laws of large numbers Quadratic covariation Quantitative Finance Random observation schemes Random observations Test for common jumps Test for jumps |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126614 |
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Martin, Ole
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| Wiesbaden, : Springer spektrum, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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