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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 | ||
| ||
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 | ||
| ||
Advanced Statistics for Testing Assumed Causal Relationships : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / Hooshang Nayebi
| Advanced Statistics for Testing Assumed Causal Relationships : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / Hooshang Nayebi |
| Autore | Nayebi, Hooshang |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xii, 113 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] |
| Soggetto non controllato |
Advanced Statistical Techniques
Applied Multivariate Analysis Casual Relationships Linear regression Logistic Regression Multivariate statistical methods Path Analysis Social Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248572 |
|
Nayebi, Hooshang
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advanced Statistics for Testing Assumed Causal Relationships : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / Hooshang Nayebi
| Advanced Statistics for Testing Assumed Causal Relationships : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / Hooshang Nayebi |
| Autore | Nayebi, Hooshang |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xii, 113 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G10 - Nonparametric hypothesis testing [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] |
| Soggetto non controllato |
Advanced Statistical Techniques
Applied Multivariate Analysis Casual Relationships Linear regression Logistic Regression Multivariate statistical methods Path Analysis Social Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248572 |
|
Nayebi, Hooshang
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Asymptotic Optimal Inference for Non-ergodic Models / Ishwar V. Basawa, David John Scott
| Asymptotic Optimal Inference for Non-ergodic Models / Ishwar V. Basawa, David John Scott |
| Autore | Basawa, Ishwar V. |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1983 |
| Descrizione fisica | xiii, 173 p. : ill. ; 24 cm |
| Altri autori (Persone) | Scott, David John |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] |
| Soggetto non controllato |
Branching processes
Diffusion Processes Estimator Likelihood Random variables Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00268565 |
|
Basawa, Ishwar V.
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| New York, : Springer-Verlag, 1983 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Contributions to a General Asymptotic Statistical Theory / J. Pfanzagl ; With the Assistance of W. Wefelmeyer
| Contributions to a General Asymptotic Statistical Theory / J. Pfanzagl ; With the Assistance of W. Wefelmeyer |
| Autore | Pfanzagl, Johann |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1982 |
| Descrizione fisica | vii, 315 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62C05 - General considerations in statistical decision theory [MSC 2020] 62F05 - Asymptotic properties of parametric tests [MSC 2020] |
| Soggetto non controllato |
Asymptotic effectiveness
Asymptotic test Estimator Likelihood Median Variance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268493 |
|
Pfanzagl, Johann
|
||
| New York, : Springer-Verlag, 1982 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Contributions to a General Asymptotic Statistical Theory / J. Pfanzagl ; With the Assistance of W. Wefelmeyer
| Contributions to a General Asymptotic Statistical Theory / J. Pfanzagl ; With the Assistance of W. Wefelmeyer |
| Autore | Pfanzagl, Johann |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1982 |
| Descrizione fisica | vii, 315 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62C05 - General considerations in statistical decision theory [MSC 2020] 62F05 - Asymptotic properties of parametric tests [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] |
| Soggetto non controllato |
Asymptotic effectiveness
Asymptotic test Estimator Likelihood Median Variance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00268493 |
|
Pfanzagl, Johann
|
||
| New York, : Springer-Verlag, 1982 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Identification of Outliers / D. M. Hawkins
| Identification of Outliers / D. M. Hawkins |
| Autore | Hawkins, Douglas M. |
| Pubbl/distr/stampa | London, : Chapman & Hall, 1980 |
| Descrizione fisica | x, 188 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] |
| Soggetto non controllato |
Area
Computation Distribution Factor Flit Identification Statistics Testing Volume |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0266228 |
|
Hawkins, Douglas M.
|
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| London, : Chapman & Hall, 1980 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Identification of Outliers / D. M. Hawkins
| Identification of Outliers / D. M. Hawkins |
| Autore | Hawkins, Douglas M. |
| Pubbl/distr/stampa | London, : Chapman & Hall, 1980 |
| Descrizione fisica | x, 188 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] |
| Soggetto non controllato |
Area
Computation Distribution Factor Flit Identifications Statistics Testing Volume |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00266228 |
|
Hawkins, Douglas M.
|
||
| London, : Chapman & Hall, 1980 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
