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Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury
| Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury |
| Autore | Islam, M. Ataharul |
| Pubbl/distr/stampa | Singapore, : Springer, 2017 |
| Descrizione fisica | xix, 250 p. ; 24 cm |
| Altri autori (Persone) | Chowdhury, Rafiqul Islam |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62N01 - Censored data models [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] 62M02 - Markov processes: hypothesis testing [MSC 2020] |
| Soggetto non controllato |
Bivariate Geometric Model
Generalized Linear Models Markov Chains Overdispersion Repeated Measures Data Weibull Data |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123582 |
Islam, M. Ataharul
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| Singapore, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury
| Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury |
| Autore | Islam, M. Ataharul |
| Pubbl/distr/stampa | Singapore, : Springer, 2017 |
| Descrizione fisica | xix, 250 p. ; 24 cm |
| Altri autori (Persone) | Chowdhury, Rafiqul Islam |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62M02 - Markov processes: hypothesis testing [MSC 2020] 62N01 - Censored data models [MSC 2020] |
| Soggetto non controllato |
Bivariate Geometric Model
Generalized Linear Models Markov Chains Overdispersion Repeated Measures Data Weibull Data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123582 |
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Islam, M. Ataharul
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| Singapore, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury
| Analysis of Repeated Measures Data / M. Ataharul Islam, Rafiqul I. Chowdhury |
| Autore | Islam, M. Ataharul |
| Edizione | [Singapore : Springer, 2017] |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Chowdhury, Rafiqul Islam |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62N01 - Censored data models [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] 62M02 - Markov processes: hypothesis testing [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0123582 |
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Islam, M. Ataharul
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| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Analysis of Survival Data with Dependent Censorining : Copula-Based Approaches / Takeshi Emura, Yi-Hau Chen
| Analysis of Survival Data with Dependent Censorining : Copula-Based Approaches / Takeshi Emura, Yi-Hau Chen |
| Autore | Emura, Takeshi |
| Pubbl/distr/stampa | Singapore, : Springer, 2018 |
| Descrizione fisica | xiii, 84 p. : ill. ; 24 cm |
| Altri autori (Persone) | Chen, Yi-Hau |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62N01 - Censored data models [MSC 2020] 62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020] |
| Soggetto non controllato |
Competing risks
Compound Covariate Cox Regression Kendall’s Tau Meta-analysis Semi-Competing Risk Surrogate Endpoint |
| ISBN | 978-98-11-07164-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0125118 |
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Emura, Takeshi
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| Singapore, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Analysis of Survival Data with Dependent Censorining : Copula-Based Approaches / Takeshi Emura, Yi-Hau Chen
| Analysis of Survival Data with Dependent Censorining : Copula-Based Approaches / Takeshi Emura, Yi-Hau Chen |
| Autore | Emura, Takeshi |
| Pubbl/distr/stampa | Singapore, : Springer, 2018 |
| Descrizione fisica | xiii, 84 p. : ill. ; 24 cm |
| Altri autori (Persone) | Chen, Yi-Hau |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020] 62N01 - Censored data models [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Competing risks
Compound Covariate Cox Regression Kendall’s Tau Meta-analysis Semi-Competing Risk Surrogate Endpoint |
| ISBN | 978-98-11-07164-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00125118 |
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Emura, Takeshi
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| Singapore, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analysis of Survival Data with Dependent Censorining : Copula-Based Approaches / Takeshi Emura, Yi-Hau Chen
| Analysis of Survival Data with Dependent Censorining : Copula-Based Approaches / Takeshi Emura, Yi-Hau Chen |
| Autore | Emura, Takeshi |
| Edizione | [Singapore : Springer, 2018] |
| Pubbl/distr/stampa | xiii, 84 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Chen, Yi-Hau |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62N01 - Censored data models [MSC 2020] 62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020] |
| ISBN | 8-981-10-7164-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0125118 |
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Emura, Takeshi
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||
| xiii, 84 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Extended abstracts fall 2015 : Biomedical Big Data / Guadalupe Gómez, Pere Puig, M.Luz Calle Editors ; Statistics for Low Dose Radiation Research / Elizabeth A. Ainsbury ... [et al.] editors
| Extended abstracts fall 2015 : Biomedical Big Data / Guadalupe Gómez, Pere Puig, M.Luz Calle Editors ; Statistics for Low Dose Radiation Research / Elizabeth A. Ainsbury ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Birkhäuser, 2017 |
| Descrizione fisica | vii, 131 p. : ill. ; 24 cm |
| Soggetto topico |
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 92D30 - Epidemiology [MSC 2020] 92C60 - Medical epidemiology [MSC 2020] 62N01 - Censored data models [MSC 2020] |
| Soggetto non controllato |
Bayesian methods
Epidemiology Genetics HIV research High-Dimensional Data Integrative omics Inverse regression Ionising radiation Low dose Penalized regression Radiation Biology Survival analysis Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123864 |
| Cham, : Birkhäuser, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Extended abstracts fall 2015 : Biomedical Big Data / Guadalupe Gómez, Pere Puig, M.Luz Calle Editors ; Statistics for Low Dose Radiation Research / Elizabeth A. Ainsbury ... [et al.] editors
| Extended abstracts fall 2015 : Biomedical Big Data / Guadalupe Gómez, Pere Puig, M.Luz Calle Editors ; Statistics for Low Dose Radiation Research / Elizabeth A. Ainsbury ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Birkhäuser, 2017 |
| Descrizione fisica | vii, 131 p. : ill. ; 24 cm |
| Soggetto topico |
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]
62N01 - Censored data models [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 92C60 - Medical epidemiology [MSC 2020] 92D30 - Epidemiology [MSC 2020] |
| Soggetto non controllato |
Bayesian methods
Epidemiology Genetics HIV research High-Dimensional Data Integrative omics Inverse regression Ionising radiation Low dose Penalized regression Radiation Biology Survival analysis Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123864 |
| Cham, : Birkhäuser, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Extended abstracts fall 2015 : Biomedical Big Data / Guadalupe Gómez, Pere Puig, M.Luz Calle Editors ; Statistics for Low Dose Radiation Research / Elizabeth A. Ainsbury ... [et al.] editors
| Extended abstracts fall 2015 : Biomedical Big Data / Guadalupe Gómez, Pere Puig, M.Luz Calle Editors ; Statistics for Low Dose Radiation Research / Elizabeth A. Ainsbury ... [et al.] editors |
| Edizione | [Cham : Birkhäuser, 2017] |
| Pubbl/distr/stampa | vii, 131 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 92D30 - Epidemiology [MSC 2020] 92C60 - Medical epidemiology [MSC 2020] 62N01 - Censored data models [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0123864 |
| vii, 131 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Interdisciplinary Statistics in Mexico : AME Virtual Meeting, September 10–11, 2020, and 34 FNE, Acatlán, Mexico, September 22–24, 2021 : Selected Contributions / Isadora Antoniano-Villalobos ... [et al.] editors
| Interdisciplinary Statistics in Mexico : AME Virtual Meeting, September 10–11, 2020, and 34 FNE, Acatlán, Mexico, September 22–24, 2021 : Selected Contributions / Isadora Antoniano-Villalobos ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | viii, 230 p. : ill. ; 24 cm |
| Soggetto topico |
34Fxx - Ordinary differential equations and systems with randomness [MSC 2020]
60G15 - Gaussian processes [MSC 2020] 60J60 - Diffusion processes [MSC 2020] 62-XX - Statistics [MSC 2020] 62B05 - Sufficient statistics and fields [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] 62F10 - Point estimation [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 62N01 - Censored data models [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62P15 - Applications of statistics to psychology [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 91D20 - Mathematical geography and demography [MSC 2020] 91D25 - Spatial models in sociology [MSC 2020] 92D30 - Epidemiology [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Bayesian nonparametric statistics Big Data Biostatistics Geostatistics Multivariate Analysis Python for statistics Statistical machine learning Statistics and epidemiology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277668 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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