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The 2x2 Matrix : Contingency, Confusion and the Metrics of Binary Classification / / by A. J. Larner
The 2x2 Matrix : Contingency, Confusion and the Metrics of Binary Classification / / by A. J. Larner
Autore Larner A. J
Edizione [2nd ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (262 pages)
Disciplina 570.15195
Soggetto topico Biometry
Neurology
Medical informatics
Machine learning
Biostatistics
Health Informatics
Machine Learning
ISBN 9783031471940
3031471946
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Paired measures -- Paired complementary measures -- Unitary measures -- Number needed (reciprocal) measures and their combinations as likelihoods -- Quality (Q) measures -- Graphing methods -- Other measures, other tables -- Classification of metrics of binary classification.
Record Nr. UNINA-9910799487003321
Larner A. J  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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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 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
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 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
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Advances and Innovations in Statistics and Data Science [[electronic resource] /] / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin
Advances and Innovations in Statistics and Data Science [[electronic resource] /] / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (338 pages)
Disciplina 519.5
Collana ICSA Book Series in Statistics
Soggetto topico Biometry
Statistics
Artificial intelligence - Data processing
Machine learning
Biostatistics
Applied Statistics
Data Science
Machine Learning
Estadística matemàtica
Processament de dades
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-031-08329-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. MiRNA-Gene Activity Interaction Networks (miGAIn): Integrated joint models of miRNA-gene targeting and disturbance in signal processing -- 2. Feature Screening for Ultrahigh-Dimensional Regression with Error-Prone Varables -- 3. Cosine Distribution in the Post-selection Inference of Least Angle Regression -- 4. Learning Finite Gaussian Mixture via Wasserstein Distance -- 5. An Entropy-based Method with Word Embedding Clustering for Comment Ranking -- 6. Estimation in Functional Linear Model with Incomplete Functional Observations -- 7. A Flexible Linear Single Index Proportional Hazards Regression Model for Multivariate Survival Data -- 8. Efficient Estimation of Semiparametric Linear Transformation Model with Left-Truncated and Current Status Data -- 9. Flexible Transformations for Modeling Compositional Data -- 10. Identifiability and Estimation of Autoregressive ARCH Models with Measurement Error -- 11. Modal Regression for Skewed, Truncated, or Contaminated Data with Outliers -- 12. Spatial Multilevel Modeling in the Galveston Bay Recovery Study Survey -- 13. Efficient Experimental Design for Regularized Linear Models -- 14. A Selective Overview of Statistical Models for Identification of Treatment-sensitive Subset -- 15. Analysis of Discrete Compositional Series While Accounting for Informative Time-dependent Cluster Sizes with Application to Air Pollution Related Emergency Room Visits.
Record Nr. UNISA-996495167803316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Advances and Innovations in Statistics and Data Science / / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin
Advances and Innovations in Statistics and Data Science / / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (338 pages)
Disciplina 519.5
001.422
Collana ICSA Book Series in Statistics
Soggetto topico Biometry
Statistics
Artificial intelligence - Data processing
Machine learning
Biostatistics
Applied Statistics
Data Science
Machine Learning
Estadística matemàtica
Processament de dades
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-031-08329-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. MiRNA-Gene Activity Interaction Networks (miGAIn): Integrated joint models of miRNA-gene targeting and disturbance in signal processing -- 2. Feature Screening for Ultrahigh-Dimensional Regression with Error-Prone Varables -- 3. Cosine Distribution in the Post-selection Inference of Least Angle Regression -- 4. Learning Finite Gaussian Mixture via Wasserstein Distance -- 5. An Entropy-based Method with Word Embedding Clustering for Comment Ranking -- 6. Estimation in Functional Linear Model with Incomplete Functional Observations -- 7. A Flexible Linear Single Index Proportional Hazards Regression Model for Multivariate Survival Data -- 8. Efficient Estimation of Semiparametric Linear Transformation Model with Left-Truncated and Current Status Data -- 9. Flexible Transformations for Modeling Compositional Data -- 10. Identifiability and Estimation of Autoregressive ARCH Models with Measurement Error -- 11. Modal Regression for Skewed, Truncated, or Contaminated Data with Outliers -- 12. Spatial Multilevel Modeling in the Galveston Bay Recovery Study Survey -- 13. Efficient Experimental Design for Regularized Linear Models -- 14. A Selective Overview of Statistical Models for Identification of Treatment-sensitive Subset -- 15. Analysis of Discrete Compositional Series While Accounting for Informative Time-dependent Cluster Sizes with Application to Air Pollution Related Emergency Room Visits.
Record Nr. UNINA-9910624380703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Complex Data Modeling and Computational Methods in Statistics / / edited by Anna Maria Paganoni, Piercesare Secchi
Advances in Complex Data Modeling and Computational Methods in Statistics / / edited by Anna Maria Paganoni, Piercesare Secchi
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (210 p.)
Disciplina 005.1
519
519.5
570.15195
620
Collana Contributions to Statistics
Soggetto topico Statistics
Mathematics
Biometry
Dynamics
Nonlinear theories
Software engineering
Statistical Theory and Methods
Applications of Mathematics
Biostatistics
Applied Dynamical Systems
Software Engineering
ISBN 3-319-11149-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Antonino Abbruzzo, Angelo M. Mineo: Inferring networks from high-dimensional data with mixed variables -- 2 Federico Andreis, Fulvia Mecatti: Rounding Non-integer Weights in Bootstrapping Non-iid Samples: actual problem or harmless practice? -- 3 Marika Arena, Giovanni Azzone, Antonio Conte, Piercesare Secchi, Simone Vantini: Measuring downsize reputational risk in the Oil & Gas industry -- 4 Laura Azzimonti, Marzia A. Cremona, Andrea Ghiglietti, Francesca Ieva, Alessandra Menafoglio, Alessia Pini, Paolo Zanini: BARCAMP Technology Foresight and Statistics for the Future -- 5 Francesca Chiaromonte, Kateryna D. Makova: Using statistics to shed light on the dynamics of the human genome: A review -- 6 Nader Ebrahimi, Ehsan S. Soofi and Refik Soyer: Information Theory and Bayesian Reliability Analysis: Recent Advances -- 7 Stephan F. Huckemann: (Semi-) Intrinsic Statistical Analysis on non-Euclidean Spaces -- 8 John T. Kent: An investigation of projective shape space -- 9 Fabio Manfredini, Paola Pucci, Piercesare Secchi, Paolo Tagliolato, Simone Vantini, Valeria Vitelli: Treelet Decomposition of Mobile Phone Data for Deriving City Usage and Mobility Pattern in the Milan Urban Region -- 10 Cristina Mazzali, Mauro Maistriello, Francesca Ieva, Pietro Barbieri: Methodological issues in the use of administrative databases to study heart failure -- 11 Andrea Mercatant: Bayesian inference for randomized experiments with noncompliance and nonignorable missing data -- 12 Antonio Pulcini, Brunero Liseo: Approximate Bayesian Quantile Regression for Panel Data -- 13 Laura M. Sangalli: Estimating surfaces and spatial fields via regression models with differential regularization.  .
Record Nr. UNINA-9910299763803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Compositional Data Analysis : Festschrift in Honour of Vera Pawlowsky-Glahn / / edited by Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo
Advances in Compositional Data Analysis : Festschrift in Honour of Vera Pawlowsky-Glahn / / edited by Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (XVIII, 404 p. 113 illus., 91 illus. in color.)
Disciplina 519.5
Altri autori (Persone) Pawlowsky-GlahnVera
Soggetto topico Statistics
Biometry
Geochemistry
Statistical Theory and Methods
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Biostatistics
ISBN 3-030-71175-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- J.J. Egozcue and W.L. Maldonado: An interpretable orthogonal decomposition of positive square matrices -- Part I Fundamentals -- I. Erb and N. Ay: The information-geometric perspective of compositional data analysis -- D.R. Lovell: Log-ratio analysis of finite precision data: caveats, and connections to digital lines and number theory -- G. Mateu-Figueras, G.S. Monti and J.J. Egozcue: Distributions on the simplex revisited -- J. Graffelman: Compositional biplots: a story of false leads and hidden features revealed by the last dimensions -- Part II Statistical Methodology -- K. Fačevicová, P. Kynčlová and K. Macků: Geographically weighted regression analysis for two-factorial compositional data -- C. Barceló-Vidal and J.A. Martín-Fernández: Factor analysis of compositional data with a total -- M. Gallo, V. Simonacci and V. Todorov: A compositional three-way approach for student satisfaction analysis -- M. Templ: Artificial neuralnetworks to impute rounded zeros in compositional data -- E. Saus–Sala, À. Farreras–Noguer, N. Arimany–Serrat, and G. Coenders: Compositional du pont analysis. A visual tool for strategic financial performance assessment -- A. Menafoglio: Spatial statistics for distributional data in Bayes spaces: from object-oriented kriging to the analysis of warping functions -- C. Thomas-Agnan, T. Laurent, A. Ruiz-Gazen, N. Thi Huong An, R. Chakir and A. Lungarska: Spatial simultaneous autoregressive models for compositional data: application to land use -- Part III Applications -- A. Buccianti, C. Gozzi: The whole versus the parts: the challenge of compositional data analysis (CoDA) methods for geochemistry -- M.A. Engle and J.A. Chaput: Groundwater origin determination in historic chemical datasets through supervised compositional data analysis: Brines of the Permian Basin, USA -- J.M. McKinley, U. Mueller, P.M. Atkinson, U. Ofterdinger, S.F. Cox, R. Doherty, D. Fogarty and J.J. Egozcue -- Chronic kidney disease of uncertain aetiology and its relation with waterborne environmental toxins: An investigation via compositional balances -- R.A. Olea, J.A. Martín-Fernández and W.H. Craddock: Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers -- J.R. Wu, J.M. Macklaim, B.L. Genge and G.B. Gloor: Finding the centre: compositional asymmetry in high-throughput sequencing datasets -- L. Huang and H. Li: Bayesian balance-regression in microbiome studies using stochastic search -- D.E. McGregor, P.M. Dall, J. Palarea-Albaladejo and S.F.M. Chastin: Compositional data analysis in physical activity and health research. Looking for the right balance -- D. Dumuid, Ž. Pedišić, J. Palarea-Albaladejo, J.A. Martín-Fernández, K. Hron and T. Olds: Compositional data analysis in time-use epidemiology.
Record Nr. UNINA-9910484712403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Growth Curve Models : Topics from the Indian Statistical Institute / / edited by Ratan Dasgupta
Advances in Growth Curve Models : Topics from the Indian Statistical Institute / / edited by Ratan Dasgupta
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (278 p.)
Disciplina 519.53
Altri autori (Persone) DasguptaRatan
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Statistics
Biometry
Statistical Theory and Methods
Biostatistics
ISBN 1-4614-6862-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Yam Growth Experiment and Above-ground Biomass as Possible Predictor -- Some Statistical Perspectives of Growth Models in Health Care Plans -- Testing of Growth Curves with Cubic Smoothing Splines -- Non uniform Rates of Convergence to Normality for Two sample U-statistics in Non IID Case with Applications -- Correlated Bivariate Linear Growth Models: Optimal Designs for Slope Parameter Estimation -- Optimal-Time Harvest of Elephant Foot Yam and Related Theoretical Issues -- Evolution of Scour and velocity fluctuation due to turbulence around cylinders -- South Pole Ozone Profile and Lower Tolerance Limit -- Population Distribution of Human Growth Curve Parameters Through a Combination of Longitudinal and Cross-sectional Data -- Tuber Crop Growth and Pareto Model -- Effect of past demographic events on the mtDNA mismatch distribution among the Adi tribe of Arunachal Pradesh, India -- Growth Curve Model in Relation to Extremal Processes based on Stationary Random Variables -- A Method of Population Projection by Using Leslie Matrix in Indian Context -- Indian Statistical Institute and Tata Motors Pune: Growth curve for cumulative defects -- Growth and Nutritional Status of Pre-school Children: A Comparative Study of Jharkhand, Bihar and West Bengal.          .
Record Nr. UNINA-9910438144003321
New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Latent Variables : Methods, Models and Applications / / edited by Maurizio Carpita, Eugenio Brentari, El Mostafa Qannari
Advances in Latent Variables : Methods, Models and Applications / / edited by Maurizio Carpita, Eugenio Brentari, El Mostafa Qannari
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (284 p.)
Disciplina 519.535
Collana Selected Papers of the Statistical Societies
Soggetto topico Statistics
Biometry
Statistical Theory and Methods
Statistics in Business, Management, Economics, Finance, Insurance
Biostatistics
ISBN 3-319-02967-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Part I: Latent Variables -- Part II: Methods, Models and Applications.
Record Nr. UNINA-9910299769603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Statistics - Theory and Applications [[electronic resource] ] : Honoring the Contributions of Barry C. Arnold in Statistical Science / / edited by Indranil Ghosh, N. Balakrishnan, Hon Keung Tony Ng
Advances in Statistics - Theory and Applications [[electronic resource] ] : Honoring the Contributions of Barry C. Arnold in Statistical Science / / edited by Indranil Ghosh, N. Balakrishnan, Hon Keung Tony Ng
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (xxxviii, 421 pages)
Disciplina 519.5
Collana Emerging Topics in Statistics and Biostatistics
Soggetto topico Statistics
Biometry
Probabilities
Statistical Theory and Methods
Biostatistics
Probability Theory
Bayesian Inference
Estadística matemàtica
Soggetto genere / forma Llibres electrònics
ISBN 3-030-62900-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Wrapped gamma distribution for modeling and inference with asymmetric circular data - Ashis SenGupta, Carlos A. Coelho, Choung Min Ng -- 2. Goodness of fit tests for Cauchy distributions using data transformations - Jose A. Villasenor -- 3. A note on the product of independent beta random variables - Filipe J. Marques, Indranil Ghosh, Johan Ferreira, Andriette Bekker -- 4. Properties of system lifetime distributions in the classic model of independent exponential component lifetimes - Tomasz Rychlik -- 5. On the exact statistical distribution of econometric estimators and test statistics - Yong Bao, Xiaotian Liu, Aman Ullah -- 6. On conditional tail inferences from multivariate distributions - Harry Joe -- 7. A bivariate distribution with generalized exponential conditionals: Theory and applications - Miroslav Ristic, Bozidar V. Popovic, Indranil Ghosh -- 8. Assessment of distributional goodness-of-fit for modeling the superposition of renewal process data - Wei Zhang, William Q. Meeker -- 9. Skew-Elliptical Thomas point processes - Ngoc Anh Dao, Marc G. Genton -- 10. Bayesian model assessment and selection using Bregman divergence - Gyuhyeong Goh, Dipak K. Dey -- 11. On hidden truncation in non-normal models - Indranil Ghosh, Hon Keung Tony Ng.
Record Nr. UNISA-996466395303316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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