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
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| ||
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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||