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AI Assisted Business Analytics : Techniques for Reshaping Competitiveness / / by Joseph Boffa
AI Assisted Business Analytics : Techniques for Reshaping Competitiveness / / by Joseph Boffa
Autore Boffa Joseph
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (133 pages)
Disciplina 300.727
658.4012
Soggetto topico Statistics
Stochastic models
Multivariate analysis
Statistics in Business, Management, Economics, Finance, Insurance
Stochastic Modelling in Statistics
Multivariate Analysis
Planificació empresarial
Planificació estratègica
Processament de dades
Intel·ligència artificial
Aplicacions industrials
Competència econòmica
Soggetto genere / forma Llibres electrònics
ISBN 3-031-40821-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Business Prosperity -- Analytics Case Studies -- Statistical Audit Design -- The Sales Tax Audit -- Forensic Accounting Using Benford Formula -- Financial Projections -- Planning Expenses and Investments -- Market Research.
Record Nr. UNINA-9910755079503321
Boffa Joseph  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
ANOVA with Dependent Errors / / by Yuichi Goto, Hideaki Nagahata, Masanobu Taniguchi, Anna Clara Monti, Xiaofei Xu
ANOVA with Dependent Errors / / by Yuichi Goto, Hideaki Nagahata, Masanobu Taniguchi, Anna Clara Monti, Xiaofei Xu
Autore Goto Yuichi
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (100 pages)
Disciplina 519.538
Altri autori (Persone) NagahataHideaki
TaniguchiMasanobu
MontiAnna Clara
XuXiaofei
Collana JSS Research Series in Statistics
Soggetto topico Statistics
Time-series analysis
Multivariate analysis
Applied Statistics
Statistical Theory and Methods
Time Series Analysis
Multivariate Analysis
Anàlisi de variància
Soggetto genere / forma Llibres electrònics
ISBN 981-9941-72-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- One-way fixed effects model -- One-way fixed effects model for high-dimensional time series -- One-way fixed and random effects models for correlated groups -- Two-way random effects model for correlated cells -- Optimal test for one-way random effects model -- Numerical analysis -- Empirical data analysis.
Record Nr. UNINA-9910734824303321
Goto Yuichi  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Classification and Data Science in the Digital Age / / edited by Paula Brito, José G. Dias, Berthold Lausen, Angela Montanari, Rebecca Nugent
Classification and Data Science in the Digital Age / / edited by Paula Brito, José G. Dias, Berthold Lausen, Angela Montanari, Rebecca Nugent
Autore Brito Paula
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (393 pages)
Disciplina 005.7
Altri autori (Persone) DiasJosé G
LausenBerthold
MontanariAngela
NugentRebecca
Collana Studies in Classification, Data Analysis, and Knowledge Organization
Soggetto topico Artificial intelligence - Data processing
Machine learning
Data mining
Multivariate analysis
Statistics - Computer programs
Data Science
Statistical Learning
Machine Learning
Data Mining and Knowledge Discovery
Multivariate Analysis
Statistical Software
Intel·ligència artificial
Aprenentatge automàtic
Mineria de dades
Anàlisi multivariable
Soggetto genere / forma Llibres electrònics
ISBN 3-031-09034-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- R. Abdesselam: A Topological Clustering of Individuals -- C. Anton and I. Smith: Model Based Clustering of Functional Data with Mild Outliers -- F. Antonazzo and S. Ingrassia: A Trivariate Geometric Classification of Decision Boundaries for Mixtures of Regressions -- E. Arnone, E. Cunial, and L. M. Sangalli: Generalized Spatio-temporal Regression with PDE Penalization -- R. Ascari and S. Migliorati: A New Regression Model for the Analysis of Microbiome Data -- R. Aschenbruck, G. Szepannek, and A. F. X. Wilhelm: Stability of Mixed-type Cluster Partitions for Determination of the Number of Clusters -- A. Ashofteh and P. Campos: A Review on Official Survey Item Classification for Mixed-Mode Effects Adjustment -- V. Batagelj: Clustering and Blockmodeling Temporal Networks – Two Indirect Approaches -- R. Boutalbi, L. Labiod, and M. Nadif: Latent Block Regression Model -- N. Chabane, M. Achraf Bouaoune, R. Amir Sofiane Tighilt, B. Mazoure, N. Tahiri, and V. Makarenkov: Using Clustering and Machine Learning Methods to Provide Intelligent Grocery Shopping Recommendations -- T. Chadjipadelis and S. Magopoulou: COVID-19 Pandemic: a Methodological Model for the Analysis of Government’s Preventing Measures and Health Data Records -- J. Champagne Gareau, É. Beaudry, and V. Makarenkov: pcTVI: Parallel MDP Solver Using a Decomposition into Independent Chains -- C. Di Nuzzo and S. Ingrassia: Three-way Spectral Clustering -- J. Dobša and H. A. L. Kiers: Improving Classification of Documents by Semi-supervised Clustering in a Semantic Space -- J. Gama: Trends in Data Stream Mining -- L. A. García-Escudero, A. Mayo-Iscar, G. Morelli, and M. Riani: Old and New Constraints in Model Based Clustering -- V. G Genova, G. Giordano, G . Ragozini, and M. Prosperina Vitale: Clustering Student Mobility Data in 3-way Networks -- R. Giubilei: Clustering Brain Connectomes Through a Density-peak Approach -- T. Górecki, M. Šuczak, and P. Piasecki: Similarity Forest for Time Series Classification -- K. Hayashi, E. Hoshino, M. Suzuki, E. Nakanishi, K. Sakai, and M. Obatake: Detection of the Biliary Atresia Using Deep Convolutional Neural Networks Based on Statistical Learning Weights via Optimal Similarity and Resampling Methods -- Ch. Hennig: Some Issues in Robust Clustering -- J. Kalina and P. Janá£ek: Robustness Aspects of Optimized Centroids -- L. Labiod and M. Nadif: Data Clustering and Representation Learning Based on Networked Data -- Lazhar Labiod and Mohamed Nadif: Towards a Bi-stochastic Matrix Approximation of k-means and Some Variants -- A. LaLonde, T. Love, D. R. Young, and T. Wu: Clustering Adolescent Female Physical Activity Levels with an Infinite Mixture Model on Random Effects -- Á. López-Oriona, J. A. Vilar, and P. D’Urso: Unsupervised Classification of Categorical Time Series Through Innovative Distances -- D. Masís, E. Segura, J. Trejos, and A. Xavier: Fuzzy Clustering by Hyperbolic Smoothing -- R. Meng, H. K. H. Lee, and K. Bouchard: Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Networks -- H. Duy Nguyen, F. Forbes, G. Fort, and O. Cappé: An Online Minorization-Maximization Algorithm -- L. Palazzo and R. Ievoli: Detecting Differences in Italian Regional Health Services During Two Covid-19 Waves -- G. Panagiotidou and T. Chadjipadelis: Political and Religion Attitudes in Greece: Behavioral Discourses -- K. Pawlasová, I. Karafiátová, and J. Dvořák: Supervised Classification via Neural Networks for Replicated Point Patterns -- G. Perrone and G. Soffritti: Parsimonious Mixtures of Seemingly Unrelated Contaminated Normal Regression Models -- N. Pronello, R. Ignaccolo, L. Ippoliti, and S. Fontanella: Penalized Model-based Functional Clustering: a Regularization Approach via Shrinkage Methods -- D. Rodrigues, L. P. Reis, and B. M. Faria: Emotion Classification Based on Single Electrode Brain Data: Applications for Assistive Technology -- R. Scimone, A. Menafoglio, L. M. Sangalli, and P. Secchi: The Death Process in Italy Before and During the Covid-19 Pandemic: a Functional Compositional Approach -- O. Silva, Á. Sousa, and H. Bacelar-Nicolau: Clustering Validation in the Context of Hierarchical Cluster Analysis: an Empirical Study -- C. Silvestre, M. G. M. S. Cardoso, and M. Figueiredo: An MML Embedded Approach for Estimating the Number of Clusters -- Á. Sousa, O. Silva, M. Graça Batista, S. Cabral, and H. Bacelar-Nicolau: Typology of Motivation Factors for Employees in the Banking Sector: An Empirical Study Using Multivariate Data Analysis Methods -- J. Michael Spoor, J. Weber, and J. Ovtcharova: A Proposal for Formalization and Definition of Anomalies in Dynamical Systems -- N. Tahiri and A. Koshkarov: New Metrics for Classifying Phylogenetic Trees Using -means and the Symmetric Difference Metric -- S. D. Tomarchio: On Parsimonious Modelling via Matrix-variate t Mixtures -- G. Zammarchi, M. Romano, and C. Conversano: Evolution of Media Coverage on Climate Change and Environmental Awareness: an Analysis of Tweets from UK and US Newspapers.
Record Nr. UNINA-9910768481303321
Brito Paula  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digressions in Elementary Probability : The Unexpected in Medicine, Sports, and Society / / by Edward Beltrami
Digressions in Elementary Probability : The Unexpected in Medicine, Sports, and Society / / by Edward Beltrami
Autore Beltrami Edward
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (118 pages)
Disciplina 300.727
Collana Quantitative Methods in the Humanities and Social Sciences
Soggetto topico Social sciences - Statistical methods
Statistics
Multivariate analysis
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Bayesian Network
Multivariate Analysis
ISBN 3-031-70051-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Success Runs in Bernoulli Trials -- Chapter 2. The Remarkable Streak of Joe Di Maggio -- Chapter 3. Inherited, Not Acquired -- Chapter 4. A Subtle Bias -- Chapter 5. Addendum : Conditional Expectation -- Chapter 6. Hot Hands in Basketball -- Chapter 7. Restricted Choice -- Chapter 8. Another Conundrum : What Does Crowd Size at Wimbledon’s Tennis Match Tell us About Baseball Batting Averages?- Chapter 9. Cancer Clusters -- Chapter 10. Medical Mis-Readings -- Chapter 11. The Wrong Conclusion -- Chapter 12. Clinical Trials -- Chapter 13. Margin of Error -- Chapter 14. What Are the Odds of That?- Chapter 15. Turing’s Evidence -- Chapter 16. Bell’s Inequality -- Chapter 17. The Paradox of Random Arrivals -- Chapter 18. The Inverse Square Root Law -- Chapter 19. Runs, Again -- Chapter 20. Addendum : Tutorial on Elementary Probability.
Record Nr. UNINA-9910899895303321
Beltrami Edward  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Functional Data Analysis
Functional Data Analysis
Autore Ramsay, Jim
Edizione [2. ed]
Pubbl/distr/stampa New York : Springer2010
Descrizione fisica p. ; cm
Altri autori (Persone) Silverman, B. W
Collana Springer Series in Statistics
Soggetto topico Multivariate Analysis
Mathematics - Probability & Statistics
ISBN 9781441923004
1441923004
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione und
Record Nr. UNISALENTO-991002837879707536
Ramsay, Jim  
New York : Springer2010
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Generalized Linear Mixed Models with Applications in Agriculture and Biology [[electronic resource] /] / by Josafhat Salinas Ruíz, Osval Antonio Montesinos López, Gabriela Hernández Ramírez, Jose Crossa Hiriart
Generalized Linear Mixed Models with Applications in Agriculture and Biology [[electronic resource] /] / by Josafhat Salinas Ruíz, Osval Antonio Montesinos López, Gabriela Hernández Ramírez, Jose Crossa Hiriart
Autore Salinas Ruíz Josafhat
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (434 pages)
Disciplina 570.15195
Altri autori (Persone) Montesinos LópezOsval Antonio
Hernández RamírezGabriela
Crossa HiriartJose
Soggetto topico Biometry
Multivariate analysis
Regression analysis
Agriculture
Biostatistics
Multivariate Analysis
Linear Models and Regression
ISBN 3-031-32800-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1) Elements of the Generalized Linear Mixed Models -- Chapter 2) Generalized Linear Models -- Chapter 3) Objectives in Model Inference -- Chapter 4) Generalized Linear Mixed Models for non-normal responses -- Chapter 5) Generalized Linear Mixed Models for Count response -- Chapter 6) Generalized Linear Mixed Models for Proportions and Percentages response -- Chapter 7) Times of occurrence of an event of interest -- Chapter 8) Generalized Linear Mixed Models for Categorial and Ordinal responses -- Chapter 9) Generalized Linear Mixed Models for Repeated Measurements.
Record Nr. UNINA-9910737295203321
Salinas Ruíz Josafhat  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Generalized Linear Mixed Models with Applications in Agriculture and Biology [[electronic resource] /] / by Josafhat Salinas Ruíz, Osval Antonio Montesinos López, Gabriela Hernández Ramírez, Jose Crossa Hiriart
Generalized Linear Mixed Models with Applications in Agriculture and Biology [[electronic resource] /] / by Josafhat Salinas Ruíz, Osval Antonio Montesinos López, Gabriela Hernández Ramírez, Jose Crossa Hiriart
Autore Salinas Ruíz Josafhat
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Springer International Publishing, 2023
Descrizione fisica 1 online resource (434 pages)
Disciplina 570.15195
Altri autori (Persone) Montesinos LópezOsval Antonio
Hernández RamírezGabriela
Crossa HiriartJose
Soggetto topico Biometry
Multivariate analysis
Regression analysis
Agriculture
Biostatistics
Multivariate Analysis
Linear Models and Regression
ISBN 3-031-32800-0
9783031328008
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1) Elements of the Generalized Linear Mixed Models -- Chapter 2) Generalized Linear Models -- Chapter 3) Objectives in Model Inference -- Chapter 4) Generalized Linear Mixed Models for non-normal responses -- Chapter 5) Generalized Linear Mixed Models for Count response -- Chapter 6) Generalized Linear Mixed Models for Proportions and Percentages response -- Chapter 7) Times of occurrence of an event of interest -- Chapter 8) Generalized Linear Mixed Models for Categorial and Ordinal responses -- Chapter 9) Generalized Linear Mixed Models for Repeated Measurements.
Record Nr. UNINA-9910853993903321
Salinas Ruíz Josafhat  
Springer International Publishing, 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multivariate Statistical Analysis in the Real and Complex Domains [[electronic resource] /] / by Arak M. Mathai, Serge B. Provost, Hans J. Haubold
Multivariate Statistical Analysis in the Real and Complex Domains [[electronic resource] /] / by Arak M. Mathai, Serge B. Provost, Hans J. Haubold
Autore Mathai Arak M
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XXVII, 921 p. 3 illus.)
Disciplina 519.5
Soggetto topico Mathematical statistics
Statistics
Multivariate analysis
System theory
Mathematical Statistics
Statistical Theory and Methods
Multivariate Analysis
Complex Systems
Anàlisi multivariable
Soggetto genere / forma Llibres electrònics
Soggetto non controllato multivariate statistical analysis
mathematical statistics
complex domain
matrix-variate
Gaussian distributions
Wishart distribution
type-1 distributions
type-2 distributions
factor analysis
classifications
cluster
profile analyses
ISBN 3-030-95864-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Mathematical Preliminaries -- 2. The Univariate Gaussian and Related Distribution -- 3. Multivariate Gaussian and Related Distributions -- 4. The Matrix-variate Gaussian Distribution -- 5. Matrix-variate Gamma and Beta Distributions -- 6. Hypothesis Testing and Null Distributions -- 7. Rectangular Matrix-variate Distributions -- 8. Distributions of Eigenvalues and Eigenvectors -- 9. Principal Component Analysis -- 10. Canonical Correlation Analysis -- 11. Factor Analysis -- 12. Classification Problems -- 13. Multivariate Analysis of Variance (MANOVA) -- 14. Profile Analysis and Growth Curves -- 15. Cluster Analysis and Correspondence Analysis.
Record Nr. UNISA-996495167003316
Mathai Arak M  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Multivariate Statistical Analysis in the Real and Complex Domains / / by Arak M. Mathai, Serge B. Provost, Hans J. Haubold
Multivariate Statistical Analysis in the Real and Complex Domains / / by Arak M. Mathai, Serge B. Provost, Hans J. Haubold
Autore Mathai Arak M
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XXVII, 921 p. 3 illus.)
Disciplina 519.5
519.535
Soggetto topico Mathematical statistics
Statistics
Multivariate analysis
System theory
Mathematical Statistics
Statistical Theory and Methods
Multivariate Analysis
Complex Systems
Anàlisi multivariable
Soggetto genere / forma Llibres electrònics
Soggetto non controllato multivariate statistical analysis
mathematical statistics
complex domain
matrix-variate
Gaussian distributions
Wishart distribution
type-1 distributions
type-2 distributions
factor analysis
classifications
cluster
profile analyses
ISBN 3-030-95864-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Mathematical Preliminaries -- 2. The Univariate Gaussian and Related Distribution -- 3. Multivariate Gaussian and Related Distributions -- 4. The Matrix-variate Gaussian Distribution -- 5. Matrix-variate Gamma and Beta Distributions -- 6. Hypothesis Testing and Null Distributions -- 7. Rectangular Matrix-variate Distributions -- 8. Distributions of Eigenvalues and Eigenvectors -- 9. Principal Component Analysis -- 10. Canonical Correlation Analysis -- 11. Factor Analysis -- 12. Classification Problems -- 13. Multivariate Analysis of Variance (MANOVA) -- 14. Profile Analysis and Growth Curves -- 15. Cluster Analysis and Correspondence Analysis.
Record Nr. UNINA-9910616370003321
Mathai Arak M  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Partial Least Squares Path Modeling : Basic Concepts, Methodological Issues and Applications / / edited by Hengky Latan, Joseph F. Hair, Jr., Richard Noonan
Partial Least Squares Path Modeling : Basic Concepts, Methodological Issues and Applications / / edited by Hengky Latan, Joseph F. Hair, Jr., Richard Noonan
Autore Latan Hengky
Edizione [2nd ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (495 pages)
Disciplina 511.42
Altri autori (Persone) HairJoseph F., Jr
NoonanRichard
Soggetto topico Statistics
Statistics - Computer programs
Social sciences - Statistical methods
Econometrics
Multivariate analysis
Statistical Theory and Methods
Statistics in Business, Management, Economics, Finance, Insurance
Statistical Software
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Multivariate Analysis
Anàlisi multivariable
Econometria
Soggetto genere / forma Llibres electrònics
ISBN 3-031-37772-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to the Partial Least Squares Path Modeling: Basic Concepts and Recent Methodological Enhancements -- Quantile Composite-Based Path Modeling with R: A Hands-On Guide -- Use of Partial Least Squares Path Modeling within and across Business Disciplines -- Statistical and Psychometric Properties of Three Weighting Schemes of the PLS-SEM Methodology -- Software Packages for Partial Least Squares Structural Equation Modeling: An Updated Review -- Revisiting and Extending PLS for Ordinal Measurement and Prediction -- Multicollinearity: An Overview and Introduction of Ridge PLS-SEM Estimation -- Demystifying Prediction in Mediation Research and the Use of Specific Indirect Effects and Indirect Effect Sizes -- Alternative Approaches to Higher-Order PLS-Path Modeling: A Discussion on Methodological Issues and Applications -- How to Apply Necessary Condition Analysis in PLS-SEM -- New Insights for Public Diplomacy Using PLS-SEM to Analyze the Polyphony of Voices: Value Drivers of the Country Image in Western European and BRICS countries -- To Survive or Not to Survive: Findings from PLS-SEM on the Relationship between Organizational Resources and Startups Survival -- Influence of Earnings Quality Dimensions on the Perception of Earnings Quality: An Empirical Application of Composite PLS using Archival Data -- Importance Performance Map Analysis of Capital Structure Using PLS-SEM: Evidence from Non-Financial Sector.
Record Nr. UNINA-9910765478403321
Latan Hengky  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui