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.
Adaptive regression for modeling nonlinear relationships / / by George J. Knafl, Kai Ding
Adaptive regression for modeling nonlinear relationships / / by George J. Knafl, Kai Ding
Autore Knafl George J
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XXV, 372 p. 57 illus., 13 illus. in color.)
Disciplina 519.536
Collana Statistics for Biology and Health
Soggetto topico Statistics
Biometry
Statistics for Life Sciences, Medicine, Health Sciences
Statistical Theory and Methods
Biostatistics
ISBN 3-319-33946-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Adaptive Regression Modeling of Univariate Continuous Outcomes -- Adaptive Regression Modeling of Univariate Continuous Outcomes in SAS -- Adaptive Regression Modeling of Multivariate Continuous Outcomes -- Adaptive Regression Modeling of Multivariate Continuous Outcomes in SAS -- Adaptive Transformation of Positive Valued Continuous Outcomes -- Adaptive Logistic Regression Modeling of Univariate Dichotomous and Polytomous Outcomes -- Adaptive Logistic Regression Modeling of Univariate Dichotomous and Polytomous Outcomes in SAS -- Adaptive Logistic Regression Modeling of Multivariate Dichotomous and Polytomous Outcomes -- Adaptive Logistic Regression Modeling of Multivariate Dichotomous and Polytomous Outcomes in SAS -- Adaptive Poisson Regression Modeling of Univariate Count Outcomes -- Adaptive Poisson Regression Modeling of Univariate Count Outcomes in SAS -- Adaptive Poisson Regression Modeling of Multivariate Count Outcomes -- Adaptive Poisson Regression Modeling of Multivariate Count Outcomes in SAS -- Generalized Additive Modeling -- Generalized Additive Modeling in SAS -- Multivariate Adaptive Regression Spline Modeling -- Multivariate Adaptive Regression Spline Modeling in SAS -- Adaptive Regression Modeling Formulation. .
Record Nr. UNINA-9910254079203321
Knafl George J  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models / / by Daniel Durstewitz
Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models / / by Daniel Durstewitz
Autore Durstewitz Daniel
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXV, 292 p. 76 illus., 66 illus. in color.)
Disciplina 612.8
Collana Bernstein Series in Computational Neuroscience
Soggetto topico Biometry
Statistics
Neurosciences
Biomathematics
Biostatistics
Statistical Theory and Methods
Neuroscience
Mathematical and Computational Biology
ISBN 9783319599762
3319599763
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Inference -- Regression Problems -- Classification Problems -- Model Complexity and Selection -- Clustering and Density Estimation -- Dimensionality Reduction -- Linear Time Series Analysis -- Nonlinear Concepts in Time Series Analysis -- Time Series From a Nonlinear Dynamical Systems Perspective.
Record Nr. UNINA-9910254305303321
Durstewitz Daniel  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Linear Modeling : Statistical Learning and Dependent Data / / by Ronald Christensen
Advanced Linear Modeling : Statistical Learning and Dependent Data / / by Ronald Christensen
Autore Christensen Ronald
Edizione [3rd ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (618 pages) : illustrations
Disciplina 519.5
Collana Springer Texts in Statistics
Soggetto topico Probabilities
Computer science - Mathematics
Statistics
Probability Theory and Stochastic Processes
Computational Mathematics and Numerical Analysis
Statistical Theory and Methods
ISBN 9783030291648
3030291642
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Nonparametric Regression -- 2. Penalized Estimation -- 3. Reproducing Kernel Hilbert Spaces -- 4. Covariance Parameter Estimation -- 5. Mixed Models and Variance Components -- 6. Frequency Analysis of Time Series -- 7. Time Domain Analysis -- 8. Linear Models for Spacial Data: Kriging -- 9. Multivariate Linear Models: General. 10. Multivariate Linear Models: Applications -- 11. Generalized Multivariate Linear Models and Longitudinal Data -- 12. Discrimination and Allocation -- 13. Binary Discrimination and Regression -- 14. Principal Components, Classical Multidimensional Scaling, and Factor Analysis -- A Mathematical Background -- B Best Linear Predictors -- C Residual Maximum Likelihood -- Index -- Author Index.
Record Nr. UNINA-9910364955903321
Christensen Ronald  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Sampling Methods / / by Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra
Advanced Sampling Methods / / by Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra
Autore Latpate Raosaheb
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (XVII, 301 p. 23 illus., 13 illus. in color.)
Disciplina 519.52
Soggetto topico Statistics
Mathematical statistics - Data processing
Statistical Theory and Methods
Bayesian Inference
Statistics and Computing
ISBN 9789811606229
9811606226
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -1. Introduction -- 2. Simple Random Sampling -- 3. Stratied Random Sampling -- 4. Cluster Sampling -- 5. Double Sampling -- 6. Probability Proportional to Size Sampling -- 7. Systematic Sampling -- 8. Resampling Techniques -- 9. Adaptive Cluster Sampling -- 10. Two-Stage Adaptive Cluster Sampling -- 11. Adaptive Cluster Double Sampling -- 12. Inverse Adaptive Cluster Sampling -- 13. Two Stage Inverse Adaptive Cluster Sampling -- 14. Stratified Inverse Adaptive Cluster Sampling -- 15. Negative Adaptive Cluster Sampling -- 16. Negative Adaptive Cluster Double Sampling -- 17. Two- Stage Negative Adaptive Cluster Sampling -- 18. Balanced and Unbalanced Ranked Set Sampling -- 19. Ranked Set Sampling in Other Parameter Estimation and Non-Parametric Inference -- 20. Important Versions of Ranked Set Sampling -- 21. Sampling Errors.
Record Nr. UNINA-9910484590903321
Latpate Raosaheb  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Statistical Methods / / by Sahana Prasad
Advanced Statistical Methods / / by Sahana Prasad
Autore Prasad Sahana
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (238 pages)
Disciplina 001.422
Soggetto topico Statistics
Regression analysis
Time-series analysis
Statistical Theory and Methods
Linear Models and Regression
Time Series Analysis
ISBN 9789819972579
9819972574
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Advanced Concepts in Regression -- 2. Index Numbers -- 3. Time Series -- 4. Vital Statistics.
Record Nr. UNINA-9910857789503321
Prasad Sahana  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced statistical methods in data science / / edited by Ding-Geng Chen, Jiahua Chen, Xuewen Lu, Grace Y. Yi, Hao Yu
Advanced statistical methods in data science / / edited by Ding-Geng Chen, Jiahua Chen, Xuewen Lu, Grace Y. Yi, Hao Yu
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XVI, 222 p. 41 illus., 20 illus. in color.)
Disciplina 519.50285
Collana ICSA Book Series in Statistics
Soggetto topico Statistics
Big data
Statistical Theory and Methods
Big Data/Analytics
Statistics for Business, Management, Economics, Finance, Insurance
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Data Analysis Based on Latent or Dependent Variable Models -- Chapter 1: A New Method for Robust Mixture Regression and Outlier Detection -- Chapter 2: The Mixture Gatekeeping Procedure Based on Weighted Multiple Testing Correction for Correlated Tests -- Chapter 3: Regularization in Regime-switching Gaussian Autoregressive Models -- Chapter 4: Modeling Zero Inflation and Over-dispersion in the Length of Hospital Stay for Patients with Ischaemic Heart Disease -- Chapter 5: Robust Optimal Interval Design for High-Dimensional Dose Finding in Multi-Agent Combination Trials -- Part II: Life Time Data Analysis -- Chapter 6: Group Selection in Semi-parametric Accelerated Failure Time Model -- Chapter 7: A Proportional Odds Model for Regression Analysis of Case I Interval-Censored Data -- Chapter 8: Empirical Likelihood Inference under Density Ratio Models Based on Type I Censored Samples: Hypothesis Testing and Quantile Estimation -- Chapter 9: Recent Development in the Joint Modeling of Longitudinal Quality of Life Measurements and Survival Data from Cancer Clinical Trials -- Part III: Applied Data Analysis -- Chapter 10: Confidence Weighting Procedures for Multiple Choice Tests -- Chapter 11: Improving the Robustness of Parametric Imputation -- Chapter 12: Maximum Smoothed Likelihood Estimation of the Centre of a Symmetric Distribution -- Chapter 13: Dividend Pay-out Problems with the Logarithmic Utility -- Chapter 14: Modeling the Common Risk among Equities: A Multivariate Time Series Model with an Additive GARCH Structure.
Record Nr. UNINA-9910155548503321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science : Essays in Honour of Wolfgang Schmid / / edited by Sven Knoth, Yarema Okhrin, Philipp Otto
Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science : Essays in Honour of Wolfgang Schmid / / edited by Sven Knoth, Yarema Okhrin, Philipp Otto
Autore Knoth Sven
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (503 pages)
Disciplina 519.5
Altri autori (Persone) OkhrinYarema
OttoPhilipp
Soggetto topico Statistics
Environmental sciences - Mathematics
Statistical Theory and Methods
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Statistics in Business, Management, Economics, Finance, Insurance
Mathematical Applications in Environmental Science
ISBN 9783031691119
3031691113
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto - Part I Statistical Process Monitoring -- More On the Quasi-Stationary Distribution of the Shiryaev–Roberts Diffusion -- CUSUM schemes for stationary and nonstationary Gaussian processes -- Distribution-Free Multivariate Phase I Shewhart Control Charts: Analysis, Comparisons and Recommendations -- Quick Detection Updating Variable Life-Adjusted Display -- Monitoring complex segmented streams of data using bootstrap control charts -- Some Stylized Facts of the Conditional Expected Delay (CED) -- Stochastic Ordering in the Performance Analysis of Control Charts for Binomial AR(1) Processes -- An Integrated Approach for Designing a Phase I C-Control Chart Based on the Phase II Performance of Poisson Exponentially Weighted Moving Average Control Chart -- Control Charts for Poisson Counts based on the Stein–Chen Identity -- Misguided Statistical Process Monitoring Approaches -- Part II Statistics in Finance -- The Empirical Similarity Approach for Combining Predictions of Portfolio Weights -- Linear Shrinkage-Based Hypothesis Test for Large Dimensional Covariance Matrix -- Estimation of Optimal Portfolio Compositions for Small Sample and Singular Covariance Matrix -- Shrinkage Estimation of the Intercept Parameter in Linear Regression -- Intergenerational social mobility in the United States: a multivariate analysis using distributional regression -- Can we give the Maximum Sharpe Ratio Portfolio a Chance? -- On Extreme Value Asymptotics of Projected Sample Covariances in High Dimensions with Applications in Finance and Convolutional Networks -- Part III Environmetrics and Spatial Statistics -- A Bivariate Spatiotemporal Analysis of Breast Cancer and Lung Cancer Mortality and Incidence in the United States -- To what extent airborne particulate matters are influenced by ammonia and nitrogen oxides? -- A deep-learning approach for reducing the probability of false alarms in smartphone-based earthquake early warning systems -- When things get extreme: Records and crashes -- Spatial autoregressive fractionally integrated moving average model -- A path in regression Random Forest looking for spatial dependence: a taxonomy and a systematic review -- On the estimation of smooth maps from regional aggregates via measurement error models: A review.
Record Nr. UNINA-9910897985603321
Knoth Sven  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Statistics for Testing Assumed Causal Relationships [[electronic resource] ] : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / / by Hooshang Nayebi
Advanced Statistics for Testing Assumed Causal Relationships [[electronic resource] ] : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / / by Hooshang Nayebi
Autore Nayebi Hooshang
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XII, 113 p. 125 illus., 101 illus. in color.)
Disciplina 519.535
Collana University of Tehran Science and Humanities Series
Soggetto topico Statistics 
Mathematics
Social sciences
Applied mathematics
Engineering mathematics
Applied Statistics
Mathematics in the Humanities and Social Sciences
Applications of Mathematics
Statistical Theory and Methods
ISBN 3-030-54754-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Multiple Regression Analysis -- 2. Path Analysis -- 3. Logistic Regression Analysis.
Record Nr. UNISA-996418270003316
Nayebi Hooshang  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advanced Statistics for Testing Assumed Causal Relationships : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / / by Hooshang Nayebi
Advanced Statistics for Testing Assumed Causal Relationships : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / / by Hooshang Nayebi
Autore Nayebi Hooshang
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XII, 113 p. 125 illus., 101 illus. in color.)
Disciplina 519.535
Collana University of Tehran Science and Humanities Series
Soggetto topico Statistics 
Mathematics
Social sciences
Applied mathematics
Engineering mathematics
Applied Statistics
Mathematics in the Humanities and Social Sciences
Applications of Mathematics
Statistical Theory and Methods
ISBN 3-030-54754-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Multiple Regression Analysis -- 2. Path Analysis -- 3. Logistic Regression Analysis.
Record Nr. UNINA-9910483508403321
Nayebi Hooshang  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Statistics for the Behavioral Sciences : A Computational Approach with R / / by Jonathon D. Brown
Advanced Statistics for the Behavioral Sciences : A Computational Approach with R / / by Jonathon D. Brown
Autore Brown Jonathon D
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XXI, 526 p. 244 illus., 207 illus. in color.)
Disciplina 519.5
Soggetto topico Statistics
Psychometrics
Psychology
R (Computer program language)
Statistics for Social Sciences, Humanities, Law
Statistical Theory and Methods
General Psychology
ISBN 3-319-93549-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Linear Equations -- Least Squares Estimation -- Linear Regression -- Eigen Decomposition -- Singular Value Decomposition -- Generalized Least Squares Estimation -- Robust Regression -- Model Selection and Biased Estimation -- Cubic Splines and Additive Models -- Nonlinear Regression and Optimization -- Generalized Linear Models -- Survival Analysis -- Time Series Analysis -- Mixed Effects Models. .
Record Nr. UNINA-9910320753403321
Brown Jonathon D  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui