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A Course on Small Area Estimation and Mixed Models : Methods, Theory and Applications in R / Domingo Morales ... [et al.]
| A Course on Small Area Estimation and Mixed Models : Methods, Theory and Applications in R / Domingo Morales ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xx, 599 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Best linear unbiased prediction
Design-based estimation Empirical best prediction Estimation of socioeconomic indicators Generalized linear mixed model Labor markets surveys Linear Models Linear mixed models Living conditions surveys Mean squared error estimation Nested error regression models Prediction Theory R code R packages for SAE Small area estimation Survey Methodology |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274507 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Advanced Sampling Methods / Raosaheb Latpate ... [et al.]
| Advanced Sampling Methods / Raosaheb Latpate ... [et al.] |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xvii, 301 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62M30 - Inference from spatial processes [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Adaptive sampling methods
Advanced sampling methods Cluster sampling Double sampling Rank set sampling Resampling methods Sampling methods Stratified Random Sampling Systematic sampling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275414 |
| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Analysis of Data from Randomized Controlled Trials : A Practical Guide / Jos W.R. Twisk
| Analysis of Data from Randomized Controlled Trials : A Practical Guide / Jos W.R. Twisk |
| Autore | Twisk, Jos W. R. |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | ix, 168 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [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] 62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Cluster RCT
Clustered randomized controlled trials Cross-over trials Effect estimation Hybrid models Longitudinal analysis Mixed model analysis N-of-1 trials Randomized controlled trials Repeated measure analysis Stepped wedge trials |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274548 |
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Twisk, Jos W. R.
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Determining Sample Size and Power in Research Studies : A Manual for Researchers / J. P. Verma, Priyam Verma
| Determining Sample Size and Power in Research Studies : A Manual for Researchers / J. P. Verma, Priyam Verma |
| Autore | Verma, Jai P. |
| Pubbl/distr/stampa | Singapore, : Springer, 2020 |
| Descrizione fisica | xiii, 127 p. : ill. ; 24 cm |
| Altri autori (Persone) | Verma, Priyam |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Confidence Coefficients
Hypothesis Testing Minimum Detectable Difference Power Power Analysis Sample Size Statistical Errors Survey Studies |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0250105 |
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Verma, Jai P.
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| Singapore, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Drawing Inferences from Self-Selected Samples / edited by Howard Wainer
| Drawing Inferences from Self-Selected Samples / edited by Howard Wainer |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1986 |
| Descrizione fisica | xiii, 163 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Pxx - Applications of statistics [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Boolean satisfiability problems
Characters Demography Education Forms Information Modeling Statistics Time |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268860 |
| New York, : Springer-Verlag, 1986 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Estimation of Victimization Prevalence Using Data from the National Crime Survey / Diane Griffin Saphire
| Estimation of Victimization Prevalence Using Data from the National Crime Survey / Diane Griffin Saphire |
| Autore | Saphire, Diane Griffin |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1984 |
| Descrizione fisica | v, 165 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P25 - Applications of statistics to social sciences [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Correlation
Crime Crime statistics Crime victims Estimate Estimator |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268657 |
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Saphire, Diane Griffin
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| New York, : Springer-Verlag, 1984 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 | ||
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Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials / Meinhard Kieser
| Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials / Meinhard Kieser |
| Autore | Kieser, Meinhard |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiv, 396 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Adaptive Design
Categorical data Clinical Trials Continuous data Equivalence trials Fixed sample size design Internal pilot study design Multiple comparisons Noninferiority trials Ordinal Data Sample Size Superiority trials Time‐to-event data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249493 |
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Kieser, Meinhard
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Nonlinear Analysis and Optimization / edited by B. Cornet, V. H. Nguyen and J. P. Vial
| Nonlinear Analysis and Optimization / edited by B. Cornet, V. H. Nguyen and J. P. Vial |
| Pubbl/distr/stampa | Amsterdam, : North-Holland, 1987 |
| Descrizione fisica | 182 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G30 - Order statistics; empirical distribution functions [MSC 2020] 62K20 - Response surface designs [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Calculus
Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0264267 |
| Amsterdam, : North-Holland, 1987 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Soggetto topico
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62D05 - Sampling theory, sample surveys [MSC 2020]
(20)
- 62-XX - Statistics [MSC 2020] (17)
- 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] (6)
- 62P25 - Applications of statistics to social sciences [MSC 2020] (4)
- 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] (3)