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A Parametric Approach to Nonparametric Statistics / Mayer Alvo, Philip L. H. Yu
| A Parametric Approach to Nonparametric Statistics / Mayer Alvo, Philip L. H. Yu |
| Autore | Alvo, Mayer |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xiv, 279 p. : ill. ; 24 cm |
| Altri autori (Persone) | Yu, Philip L. H. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] |
| Soggetto non controllato |
Bayesian analysis
Nonparametric Statistics Nonparametrics Parametric inference Penalized likelihood Ranking data Statistical inference |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124513 |
Alvo, Mayer
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
A Parametric Approach to Nonparametric Statistics / Mayer Alvo, Philip L. H. Yu
| A Parametric Approach to Nonparametric Statistics / Mayer Alvo, Philip L. H. Yu |
| Autore | Alvo, Mayer |
| Edizione | [Cham : Springer, 2018] |
| Pubbl/distr/stampa | xiv, 279 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Yu, Philip L. H. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0124513 |
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Alvo, Mayer
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| xiv, 279 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter
| 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
|
||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter
| 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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian nonparametric data analysis / Peter Müller ... [et al.]
| Bayesian nonparametric data analysis / Peter Müller ... [et al.] |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XIV, 193 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62G07 - Density estimation [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 60G57 - Random measures [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] |
| Soggetto non controllato |
Bayesian Statistics
Clustering Markov Chains Mixture models Monte Carlo Nonparametrics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113615 |
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian nonparametric data analysis / Peter Müller ... [et al.]
| Bayesian nonparametric data analysis / Peter Müller ... [et al.] |
| Edizione | [[Cham] : Springer, 2015] |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62G07 - Density estimation [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 60G57 - Random measures [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0113615 |
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
|
Group sequential and confirmatory adaptive designs in clinical trials / Gernot Wassmer, Werner Brannath
| Group sequential and confirmatory adaptive designs in clinical trials / Gernot Wassmer, Werner Brannath |
| Autore | Wassmer, Gernot |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XVI, 301 p. : ill. ; 24 cm |
| Altri autori (Persone) | Brannath, Werner |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] 62K10 - Statistical block designs [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62K05 - Optimal statistical designs [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] |
| Soggetto non controllato |
Adaptive designs
Clinical Trials Group sequential designs Multiple hypotheses Sample Size |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114828 |
|
Wassmer, Gernot
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Group sequential and confirmatory adaptive designs in clinical trials / Gernot Wassmer, Werner Brannath
| Group sequential and confirmatory adaptive designs in clinical trials / Gernot Wassmer, Werner Brannath |
| Autore | Wassmer, Gernot |
| Edizione | [[Cham] : Springer, 2016] |
| Pubbl/distr/stampa | XVI, 301 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Brannath, Werner |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] 62K10 - Statistical block designs [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62K05 - Optimal statistical designs [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114828 |
|
Wassmer, Gernot
|
||
| XVI, 301 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modeling discrete time-to-event data / Gerhard Tutz, Matthias Schmid
| Modeling discrete time-to-event data / Gerhard Tutz, Matthias Schmid |
| Autore | Tutz, Gerhard |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | X, 247 p. : ill. ; 24 cm |
| Altri autori (Persone) | Schmid, Matthias |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
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] 62G05 - Nonparametric estimation [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] |
| Soggetto non controllato |
Additive models
Competing risks Continuation ratio model DiscSurv Discrete frailty model Discrete hazard function Discrete hazard model Generalized estimation equations Goodness-of-Fit Gradient boosting Interval censoring Life tables Multiple spells Penalized regression Recursive partitioning Sequential methods in item response theory Smooth effects Survival data Survival functions Time-dependent AUC Time-to-Event Data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114987 |
|
Tutz, Gerhard
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||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modeling discrete time-to-event data / Gerhard Tutz, Matthias Schmid
| Modeling discrete time-to-event data / Gerhard Tutz, Matthias Schmid |
| Autore | Tutz, Gerhard |
| Edizione | [[Cham] : Springer, 2016] |
| Pubbl/distr/stampa | X, 247 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Schmid, Matthias |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
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] 62G05 - Nonparametric estimation [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114987 |
|
Tutz, Gerhard
|
||
| X, 247 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Soggetto topico
- 62-XX - Statistics [MSC 2020] (12)
-
62N02 - Estimation in survival analysis and censored data [MSC 2020]
(12)
- 62N03 - Testing in survival analysis and censored data [MSC 2020] (8)
- 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] (6)
- 62F15 - Bayesian inference [MSC 2020] (4)