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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 |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XVII, 278 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] 92B15 - General Biostatistics [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-VAN00114408 |
|
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
|
||
| XVII, 278 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Educational measurement for applied researchers : theory into practice / Margaret Wu, Hak Ping Tam, Tsung-Hau Jen
| Educational measurement for applied researchers : theory into practice / Margaret Wu, Hak Ping Tam, Tsung-Hau Jen |
| Autore | Wu, Margaret |
| Pubbl/distr/stampa | Singapore, : Springer, 2016 |
| Descrizione fisica | XIV, 306 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Jen, Tsung-Hau
Tam, Hak Ping |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 91C05 - Measurement theory in the social and behavioral sciences [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] |
| Soggetto non controllato |
Classical test theory
Educational Measurement R Packages Educational Testing Educational measurement Item response theory Psychometrics Test Analysis Test and Scale Development |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114655 |
|
Wu, Margaret
|
||
| Singapore, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Educational measurement for applied researchers : theory into practice / Margaret Wu, Hak Ping Tam, Tsung-Hau Jen
| Educational measurement for applied researchers : theory into practice / Margaret Wu, Hak Ping Tam, Tsung-Hau Jen |
| Autore | Wu, Margaret |
| Pubbl/distr/stampa | Singapore, : Springer, 2016 |
| Descrizione fisica | XIV, 306 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Jen, Tsung-Hau
Tam, Hak Ping |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 91C05 - Measurement theory in the social and behavioral sciences [MSC 2020] |
| Soggetto non controllato |
Classical test theory
Educational Measurement R Packages Educational Testing Educational measurement Item response theory Psychometrics Test Analysis Test and Scale Development |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114655 |
|
Wu, Margaret
|
||
| Singapore, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Educational measurement for applied researchers : theory into practice / Margaret Wu, Hak Ping Tam, Tsung-Hau Jen
| Educational measurement for applied researchers : theory into practice / Margaret Wu, Hak Ping Tam, Tsung-Hau Jen |
| Autore | Wu, Margaret |
| Edizione | [Singapore : Springer, 2016] |
| Pubbl/distr/stampa | XIV, 306 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) |
Tam, Hak Ping
Jen, Tsung-Hau |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 91C05 - Measurement theory in the social and behavioral sciences [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-SUN0114655 |
|
Wu, Margaret
|
||
| XIV, 306 p., : ill. ; 24 cm | ||
| 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
|
||
| [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 |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XVI, 301 p. : ill. ; 24 cm |
| Altri autori (Persone) | Brannath, Werner |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62K05 - Optimal statistical designs [MSC 2020] 62K10 - Statistical block designs [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] 92B15 - General Biostatistics [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-VAN00114828 |
|
Wassmer, Gernot
|
||
| [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
|
||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Soggetto topico
- 62-XX - Statistics [MSC 2020] (15)
-
62N03 - Testing in survival analysis and censored data [MSC 2020]
(15)
- 62N02 - Estimation in survival analysis and censored data [MSC 2020] (12)
- 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] (9)
- 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] (6)