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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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
The Cox model and its applications / Mikhail Nikulin, Hong-Dar Isaac Wu
The Cox model and its applications / Mikhail Nikulin, Hong-Dar Isaac Wu
Autore Nikulin, Mikhail
Pubbl/distr/stampa Berlin ; Heidelberg, : Springer, 2016
Descrizione fisica XIII, 124 p. : ill. ; 24 cm
Altri autori (Persone) Wu, Hong-Dar Isaac
Soggetto topico 62N05 - Reliability and life testing [MSC 2020]
62-XX - Statistics [MSC 2020]
62N01 - Censored data models [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 Failure time
Longevity
Proportional hazards
Reliability
Survival analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0115418
Nikulin, Mikhail  
Berlin ; Heidelberg, : Springer, 2016
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
The Cox model and its applications / Mikhail Nikulin, Hong-Dar Isaac Wu
The Cox model and its applications / Mikhail Nikulin, Hong-Dar Isaac Wu
Autore Nikulin, Mikhail
Edizione [Berlin]
Pubbl/distr/stampa XIII, 124 p., : ill. ; 24 cm
Descrizione fisica Pubblicazione in formato elettronico
Altri autori (Persone) Wu, Hong-Dar Isaac
Soggetto topico 62N05 - Reliability and life testing [MSC 2020]
62-XX - Statistics [MSC 2020]
62N01 - Censored data models [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-SUN0115418
Nikulin, Mikhail  
XIII, 124 p., : ill. ; 24 cm
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui