top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
Autore Bhattacharya, Rabi
Pubbl/distr/stampa New York, : Springer, 2016
Descrizione fisica XI, 389 p. : ill. ; 24 cm
Altri autori (Persone) Lin, Lizhen
Patrangenaru, Victor
Soggetto topico 65C05 - Monte Carlo methods [MSC 2020]
62B05 - Sufficient statistics and fields [MSC 2020]
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
62M05 - Markov processes: estimation; hidden Markov models [MSC 2020]
62Dxx - Statistical sampling theory and related topics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
62G10 - Nonparametric hypothesis testing [MSC 2020]
62E20 - Asymptotic distribution theory in statistics [MSC 2020]
62G20 - Asymptotic properties of nonparametric inference [MSC 2020]
62C05 - General considerations in statistical decision theory [MSC 2020]
62G09 - Nonparametric statistical resampling methods [MSC 2020]
60J05 - Discrete-time Markov processes on general state spaces [MSC 2020]
Soggetto non controllato Asymptotic Distribution
Bayes estimators
Bayes rules
Bootstrap
Confidence Intervals
Cramer-Rao Inequality
Curve estimation
Decision theory
Gauss-Markov Theorem
Large sample theory
Linear Models
Markov Chain Monte Carlo Simulation
Neyman-Pearson lemma
Nonparametric
Parametric
Unbiased estimation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0114246
Bhattacharya, Rabi  
New York, : Springer, 2016
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
A course in mathematical statistics and large sample theory / Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
Autore Bhattacharya, Rabi
Edizione [New York : Springer, 2016]
Pubbl/distr/stampa XI, 389 p., : ill. ; 24 cm
Descrizione fisica Pubblicazione in formato elettronico
Altri autori (Persone) Lin, Lizhen
Patrangenaru, Victor
Soggetto topico 65C05 - Monte Carlo methods [MSC 2020]
62B05 - Sufficient statistics and fields [MSC 2020]
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
62M05 - Markov processes: estimation; hidden Markov models [MSC 2020]
62Dxx - Statistical sampling theory and related topics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020]
62G10 - Nonparametric hypothesis testing [MSC 2020]
62E20 - Asymptotic distribution theory in statistics [MSC 2020]
62G20 - Asymptotic properties of nonparametric inference [MSC 2020]
62C05 - General considerations in statistical decision theory [MSC 2020]
62G09 - Nonparametric statistical resampling methods [MSC 2020]
60J05 - Discrete-time Markov processes on general state spaces [MSC 2020]
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0114246
Bhattacharya, Rabi  
XI, 389 p., : ill. ; 24 cm
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
A First Course in Linear Models and Design of Experiments / N. R. Mohan Madhyastha, S. Ravi, A. S. Praveena
A First Course in Linear Models and Design of Experiments / N. R. Mohan Madhyastha, S. Ravi, A. S. Praveena
Autore Madhyastha, N. R. Mohan
Pubbl/distr/stampa Singapore, : Springer, 2020
Descrizione fisica xiv, 230 p. : ill. ; 24 cm
Altri autori (Persone) Praveena, Attahalli S.
Ravi, Sreenivasan
Soggetto topico 62F10 - Point estimation [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020]
62Kxx - Design of statistical experiments [MSC 2020]
62K10 - Statistical block designs [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020]
62Jxx - Linear inference, regression [MSC 2020]
62H10 - Multivariate distribution of statistics [MSC 2020]
62F25 - Parametric tolerance and confidence regions [MSC 2020]
62K15 - Factorial statistical designs [MSC 2020]
Soggetto non controllato Analysis of covariance
Analysis of variance
Block Designs
Design of experiments
Factorial experiments
Linear Models
Linear hypotheses
Missing plot technique
Row-column designs
Split plot experiments
Standard designs
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0250059
Madhyastha, N. R. Mohan  
Singapore, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
A First Course in Statistical Inference / Jonathan Gillard
A First Course in Statistical Inference / Jonathan Gillard
Autore Gillard, Jonathan
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica x, 164 p. : ill. ; 24 cm
Soggetto topico 62F10 - Point estimation [MSC 2020]
62-XX - Statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020]
62E15 - Exact distribution theory in statistics [MSC 2020]
62D05 - Sampling theory, sample surveys [MSC 2020]
Soggetto non controllato Confidence Interval
Data science
Distribution theory
Hypothesis Testing
Statistical inference
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0248557
Gillard, Jonathan  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
An introduction to Bartlett correction and bias reduction / Gauss M. Cordeiro, Francisco Cribari-Neto
An introduction to Bartlett correction and bias reduction / Gauss M. Cordeiro, Francisco Cribari-Neto
Autore Cordeiro, Gauss M.
Pubbl/distr/stampa Berlin, : Springer, 2014
Descrizione fisica XI, 107 p. ; 24 cm
Altri autori (Persone) Cribari-Neto, Francisco
Soggetto topico 62F10 - Point estimation [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
Soggetto non controllato Bartlett correction
Bartlett-type correction
Bootstrap
Hypothesis Testing
Maximum Likelihood
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0104174
Cordeiro, Gauss M.  
Berlin, : Springer, 2014
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
An introduction to Bartlett correction and bias reduction / Gauss M. Cordeiro, Francisco Cribari-Neto
An introduction to Bartlett correction and bias reduction / Gauss M. Cordeiro, Francisco Cribari-Neto
Autore Cordeiro, Gauss M.
Edizione [Berlin : Springer, 2014]
Descrizione fisica Pubblicazione in formato elettronico
Altri autori (Persone) Cribari-Neto, Francisco
Soggetto topico 62F10 - Point estimation [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
ISBN 8-3-642-55254-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0104174
Cordeiro, Gauss M.  
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
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
Analysis of Doubly Truncated Data : An Introduction / Achim Dörre, Takeshi Emura
Analysis of Doubly Truncated Data : An Introduction / Achim Dörre, Takeshi Emura
Autore Dörre, Achim
Pubbl/distr/stampa Singapore, : Springer, 2019
Descrizione fisica xvi, 112 p. : ill. ; 24 cm
Altri autori (Persone) Emura, Takeshi
Soggetto topico 62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020]
Soggetto non controllato Biased Sampling
Double-truncation
Exponential Family
Left-truncation
Lifetime Distribution
Maximum likelihood estimation
Survival analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0127273
Dörre, Achim  
Singapore, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Analysis of Doubly Truncated Data : An Introduction / Achim Dörre, Takeshi Emura
Analysis of Doubly Truncated Data : An Introduction / Achim Dörre, Takeshi Emura
Autore Dörre, Achim
Edizione [Singapore : Springer, 2019]
Pubbl/distr/stampa xvi, 112 p., : ill. ; 24 cm
Descrizione fisica Pubblicazione in formato elettronico
Altri autori (Persone) Emura, Takeshi
Soggetto topico 62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020]
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0127273
Dörre, Achim  
xvi, 112 p., : ill. ; 24 cm
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui