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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
Biostatistics Statistics for Life Sciences, Medicine, Health Sciences Statistical Theory and Methods |
| 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
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
Statistics
Neurosciences Biomathematics Biostatistics Statistics for Life Sciences, Medicine, Health Sciences Statistical Theory and Methods Mathematical and Computational Biology |
| ISBN | 3-319-59976-3 |
| 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 |
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Durstewitz Daniel
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 mathematics Statistics Probability Theory and Stochastic Processes Computational Mathematics and Numerical Analysis Statistical Theory and Methods |
| ISBN | 3-030-29164-2 |
| 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 |
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Christensen Ronald
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 | ||
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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 |
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Nayebi Hooshang
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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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 |
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Nayebi Hooshang
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Brown Jonathon D
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Studies in Behaviormetrics and Data Science [[electronic resource] ] : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama
| Advanced Studies in Behaviormetrics and Data Science [[electronic resource] ] : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XV, 472 p. 136 illus., 69 illus. in color.) |
| Disciplina | 658.8342 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Statistics
Motivation research (Marketing) Mathematics Visualization Social sciences Psychometrics Statistics for Social Sciences, Humanities, Law Statistical Theory and Methods Consumer Behavior Methodology of the Social Sciences |
| ISBN | 981-15-2700-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Co-clustering for object by variable data matrices -- How to use the Hermitian Form Model for asymmetric MDS -- Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios -- Comparing partitions of the Petersen graph -- Minkowski distances and standardisation for clustering and classification on high dimensional data. . |
| Record Nr. | UNISA-996418190803316 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama
| Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XV, 472 p. 136 illus., 69 illus. in color.) |
| Disciplina | 658.8342 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Statistics
Motivation research (Marketing) Mathematics Visualization Social sciences Psychometrics Statistics for Social Sciences, Humanities, Law Statistical Theory and Methods Consumer Behavior Methodology of the Social Sciences |
| ISBN | 981-15-2700-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Co-clustering for object by variable data matrices -- How to use the Hermitian Form Model for asymmetric MDS -- Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios -- Comparing partitions of the Petersen graph -- Minkowski distances and standardisation for clustering and classification on high dimensional data. . |
| Record Nr. | UNINA-9910484981703321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data : Proceedings of the 2015 International Symposium in Statistics / / edited by Brajendra C. Sutradhar
| Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data : Proceedings of the 2015 International Symposium in Statistics / / edited by Brajendra C. Sutradhar |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIX, 256 p. 12 illus., 6 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Lecture Notes in Statistics - Proceedings |
| Soggetto topico |
Statistics
Statistical Theory and Methods Statistics and Computing/Statistics Programs |
| ISBN | 3-319-31260-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910254077003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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