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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
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| [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 | ||
| ||
Bootstrap Methods : With Applications in R / Gerhard Dikta, Marsel Scheer
| Bootstrap Methods : With Applications in R / Gerhard Dikta, Marsel Scheer |
| Autore | Dikta, Gerhard |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xvi, 256 p. : ill. ; 24 cm |
| Altri autori (Persone) | Scheer, Marsel |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] |
| Soggetto non controllato |
Bootstrap based tests
Experimental design Generalized Linear Models Goodness-of-fit test Longitudinal data analyis Regression analysis Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274604 |
|
Dikta, Gerhard
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bootstrap Methods : With Applications in R / Gerhard Dikta, Marsel Scheer
| Bootstrap Methods : With Applications in R / Gerhard Dikta, Marsel Scheer |
| Autore | Dikta, Gerhard |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xvi, 256 p. : ill. ; 24 cm |
| Altri autori (Persone) | Scheer, Marsel |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F10 - Point estimation [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] |
| Soggetto non controllato |
Bootstrap based tests
Experimental design Generalized Linear Models Goodness-of-fit test Longitudinal data analyis Regression analysis Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274604 |
|
Dikta, Gerhard
|
||
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Computational Finance with R / Rituparna Sen, Sourish Das
| Computational Finance with R / Rituparna Sen, Sourish Das |
| Autore | Sen, Rituparna |
| Pubbl/distr/stampa | Singapore, : Springer, : Indian Statistical Institute, 2023 |
| Descrizione fisica | xiii, 353 p. : ill. ; 24 cm |
| Altri autori (Persone) | Das, Sourish |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62D05 - Sampling theory, sample surveys [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 65-XX - Numerical analysis [MSC 2020] 65C05 - Monte Carlo methods [MSC 2020] 65M06 - Finite difference methods for initial value and initial-boundary value problems involving PDEs [MSC 2020] 65R20 - Numerical methods for integral equations [MSC 2020] 90C05 - Linear programming [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 91G10 - Portfolio theory [MSC 2020] 91G20 - Derivative securities (option pricing, hedging, etc.) [MSC 2020] 91G60 - Numerical methods (including Monte Carlo methods) [MSC 2020] |
| Soggetto non controllato |
Back-test financial models
Data science in finance Financial Econometrics High-frequency data Machine learning in finance Quantitative Finance Simulate Brownian motion Stylized facts of stock markets |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00279176 |
|
Sen, Rituparna
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| Singapore, : Springer, : Indian Statistical Institute, 2023 | ||
| 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 | ||
| ||
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-VAN00277668 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Topics in nonparametric statistics : proceedings of the first conference of the International society for nonparametric statistics / Michael G. Akritas, S. N. Lahiri, Dimitris N. Politis editors
| Topics in nonparametric statistics : proceedings of the first conference of the International society for nonparametric statistics / Michael G. Akritas, S. N. Lahiri, Dimitris N. Politis editors |
| Pubbl/distr/stampa | New York, : Springer, 2014 |
| Descrizione fisica | XVI, 367 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] |
| Soggetto non controllato |
Function estimation
Functional data High-Dimensional Data Nonparametric Statistics Nonparametric regression Resampling methods Statistical learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0102905 |
| New York, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Topics in nonparametric statistics : proceedings of the first conference of the International society for nonparametric statistics / Michael G. Akritas, S. N. Lahiri, Dimitris N. Politis editors
| Topics in nonparametric statistics : proceedings of the first conference of the International society for nonparametric statistics / Michael G. Akritas, S. N. Lahiri, Dimitris N. Politis editors |
| Pubbl/distr/stampa | New York, : Springer, 2014 |
| Descrizione fisica | XVI, 367 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
| Soggetto non controllato |
Function estimation
Functional data High-Dimensional Data Nonparametric Statistics Nonparametric regression Resampling methods Statistical learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00102905 |
| New York, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
