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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 | ||
| ||
Advances in systems immunology and cancer [[electronic resource] /] / topic editors: Masaru Tomita, Masa Tsuchiya and Kumar Selvarajoo
| Advances in systems immunology and cancer [[electronic resource] /] / topic editors: Masaru Tomita, Masa Tsuchiya and Kumar Selvarajoo |
| Autore | Kumar Selvarajoo |
| Pubbl/distr/stampa | Frontiers Media SA, 2014 |
| Descrizione fisica | 1 online resource (108 pages) : illustrations, charts (mainly colour); digital, PDF file(s) |
| Collana |
Frontiers Research Topics
Frontiers in physiology |
| Soggetto topico |
Immune system - Research
Cancer - Immunological aspects |
| Soggetto non controllato |
Nonparametric
High dimensional data Computational Biology plasticity Systems Biology immunology Cancer statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910136285503321 |
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Kumar Selvarajoo
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| Frontiers Media SA, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical Inference and Machine Learning for Big Data / Mayer Alvo
| Statistical Inference and Machine Learning for Big Data / Mayer Alvo |
| Autore | Alvo, Mayer |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xxiv, 431 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Big Data
Machine learning Multivariate Neural networks Nonparametric Symbolic data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0278138 |
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Alvo, Mayer
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Statistical Inference and Machine Learning for Big Data / Mayer Alvo
| Statistical Inference and Machine Learning for Big Data / Mayer Alvo |
| Autore | Alvo, Mayer |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xxiv, 431 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Big Data
Machine learning Multivariate Neural networks Nonparametric Symbolic data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278138 |
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Alvo, Mayer
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Topics in statistical simulation : research papers from the 7. international workshop on statistical simulation / V. B. Melas ... [et al.] editors
| Topics in statistical simulation : research papers from the 7. international workshop on statistical simulation / V. B. Melas ... [et al.] editors |
| Pubbl/distr/stampa | New York, : Springer, 2014 |
| Descrizione fisica | XVIII, 539 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 00A72 - General theory of simulation [MSC 2020] |
| Soggetto non controllato |
Experimental design
Monte Carlo Methods Nonparametric Queue Simulation Stochastic modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0103037 |
| New York, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Topics in statistical simulation : research papers from the 7. international workshop on statistical simulation / V. B. Melas ... [et al.] editors
| Topics in statistical simulation : research papers from the 7. international workshop on statistical simulation / V. B. Melas ... [et al.] editors |
| Pubbl/distr/stampa | New York, : Springer, 2014 |
| Descrizione fisica | XVIII, 539 p. : ill. ; 24 cm |
| Soggetto topico |
00A72 - General theory of simulation [MSC 2020]
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] 62-XX - Statistics [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
| Soggetto non controllato |
Experimental design
Monte Carlo Methods Nonparametric Queue Simulation Stochastic modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00103037 |
| New York, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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