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 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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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
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XI, 389 p., : ill. ; 24 cm | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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A First Course in Linear Models and Design of Experiments / N. R. Mohan Madhyastha, S. Ravi, A. S. Praveena |
Autore | Madhyastha, N. R. Mohan |
Pubbl/distr/stampa | Singapore, : Springer, 2020 |
Descrizione fisica | xiv, 230 p. : ill. ; 24 cm |
Altri autori (Persone) |
Praveena, Attahalli S.
Ravi, Sreenivasan |
Soggetto topico |
62F10 - Point estimation [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] 62K10 - Statistical block designs [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] 62F25 - Parametric tolerance and confidence regions [MSC 2020] 62K15 - Factorial statistical designs [MSC 2020] |
Soggetto non controllato |
Analysis of covariance
Analysis of variance Block Designs Design of experiments Factorial experiments Linear Models Linear hypotheses Missing plot technique Row-column designs Split plot experiments Standard designs |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0250059 |
Madhyastha, N. R. Mohan
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Singapore, : Springer, 2020 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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A First Course in Statistical Inference / Jonathan Gillard |
Autore | Gillard, Jonathan |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | x, 164 p. : ill. ; 24 cm |
Soggetto topico |
62F10 - Point estimation [MSC 2020]
62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 62E15 - Exact distribution theory in statistics [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] |
Soggetto non controllato |
Confidence Interval
Data science Distribution theory Hypothesis Testing Statistical inference |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0248557 |
Gillard, Jonathan
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Cham, : Springer, 2020 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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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 |
Cordeiro, Gauss M.
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Berlin, : Springer, 2014 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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An introduction to Bartlett correction and bias reduction / Gauss M. Cordeiro, Francisco Cribari-Neto |
Autore | Cordeiro, Gauss M. |
Edizione | [Berlin : Springer, 2014] |
Descrizione fisica | Pubblicazione in formato elettronico |
Altri autori (Persone) | Cribari-Neto, Francisco |
Soggetto topico |
62F10 - Point estimation [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] |
ISBN | 8-3-642-55254-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0104174 |
Cordeiro, Gauss M.
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Lo trovi qui: Univ. Vanvitelli | ||
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An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter |
Autore | Haslwanter, Thomas |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | XVII, 278 p. : ill. ; 24 cm |
Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato |
Alternative to R
Applications in life sciences Data analysis Introductory Statistics Programming Python Python source code Statistical Methods Statistical tests Statistics and computing |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0114408 |
Haslwanter, Thomas
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[Cham], : Springer, 2016 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter |
Autore | Haslwanter, Thomas |
Edizione | [[Cham] : Springer, 2016] |
Pubbl/distr/stampa | XVII, 278 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0114408 |
Haslwanter, Thomas
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XVII, 278 p., : ill. ; 24 cm | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Analysis of Doubly Truncated Data : An Introduction / Achim Dörre, Takeshi Emura |
Autore | Dörre, Achim |
Pubbl/distr/stampa | Singapore, : Springer, 2019 |
Descrizione fisica | xvi, 112 p. : ill. ; 24 cm |
Altri autori (Persone) | Emura, Takeshi |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] |
Soggetto non controllato |
Biased Sampling
Double-truncation Exponential Family Left-truncation Lifetime Distribution Maximum likelihood estimation Survival analysis |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0127273 |
Dörre, Achim
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Singapore, : Springer, 2019 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Analysis of Doubly Truncated Data : An Introduction / Achim Dörre, Takeshi Emura |
Autore | Dörre, Achim |
Edizione | [Singapore : Springer, 2019] |
Pubbl/distr/stampa | xvi, 112 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Altri autori (Persone) | Emura, Takeshi |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0127273 |
Dörre, Achim
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xvi, 112 p., : ill. ; 24 cm | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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