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 |
Biometry
Statistics Biostatistics 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 | ||
| 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 |
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
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| 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
Mathematics - Data processing Statistics Probability Theory 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
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Statistical Analysis for Soil Scientists / / by Tancredo Souza
| Advanced Statistical Analysis for Soil Scientists / / by Tancredo Souza |
| Autore | Souza Tancredo |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (165 pages) |
| Disciplina | 631.4 |
| Soggetto topico |
Soil science
Artificial intelligence - Data processing Multivariate analysis Statistics Robust statistics Soil Science Data Science Multivariate Analysis Statistical Theory and Methods System Robustness |
| ISBN | 9783031881619 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PERMANOVA -- Analysis of Similarities (ANOSIM) -- Multiple Regression -- Principal component analysis (PCA) -- Redundancy analysis (RDA) -- Non-metric muldimensional scaling (NMDS) -- Canonical correspondence analysis (CCA) -- Structural equation modelling (SEM). |
| Record Nr. | UNINA-9911011770703321 |
Souza Tancredo
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
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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 Estadística Anàlisi de regressió Anàlisi de sèries temporals |
| Soggetto genere / forma | Llibres electrònics |
| 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
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| 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 Nature 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
Quantitative research Statistical Theory and Methods Data Analysis and Big Data Statistics in 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 Nature Singapore : , : Imprint : Springer, , 2016 | ||
| Lo trovi qui: Univ. Federico II | ||
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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 Estadística matemàtica Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| 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
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| 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 |
Nayebi Hooshang
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. di Salerno | ||
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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 |
Social sciences - Statistical methods
Statistics Psychometrics Psychology Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistical Theory and Methods Behavioral Sciences and 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.
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Lo trovi qui: Univ. Federico II | ||
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