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Applied Linear Regression for Business Analytics with R : A Practical Guide to Data Science with Case Studies / / by Daniel P. McGibney
Applied Linear Regression for Business Analytics with R : A Practical Guide to Data Science with Case Studies / / by Daniel P. McGibney
Autore McGibney Daniel P.
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (286 pages)
Disciplina 650.0285
Collana International Series in Operations Research & Management Science
Soggetto topico Operations research
Regression analysis
Business information services
Business—Data processing
Mathematical statistics—Data processing
Operations Research and Decision Theory
Linear Models and Regression
IT in Business
Business Analytics
Statistics and Computing
Soggetto non controllato Commerce
Business & Economics
ISBN 3-031-21480-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction -- 2. Basic Statistics and Functions using R -- 3. Regression Fundamentals -- 4. Simple Linear Regression -- 5. Multiple Regression -- 6. Estimation Intervals and Analysis of Variance -- 7. Predictor Variable Transformations -- 8. Model Diagnostics -- 9. Variable Selection.
Record Nr. UNINA-9910728934203321
McGibney Daniel P.  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Audit Analytics [[electronic resource] ] : Data Science for the Accounting Profession / / by J. Christopher Westland
Audit Analytics [[electronic resource] ] : Data Science for the Accounting Profession / / by J. Christopher Westland
Autore Westland J. Christopher
Edizione [2nd ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (482 pages)
Disciplina 657.450285
Collana Use R!
Soggetto topico Statistics
Accounting
Computer science - Mathematics
Mathematical statistics
Mathematical statistics - Data processing
Statistics in Business, Management, Economics, Finance, Insurance
Financial Accounting
Probability and Statistics in Computer Science
Statistics and Computing
ISBN 3-031-47464-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Fundamentals of Auditing Financial Statements -- 2. Foundations of Audit Analytics -- 3. Analysis of Accounting Transactions -- 4. Risk Assessment and Planning -- 5. Analytical Review: Technical Analysis -- 6. Analytical Review: Intelligence Scanning -- 7. Design of Audit Programs -- 8. Interim Compliance Tests -- 9. Substantive Tests -- 10. Sarbanes-Oxley Engagements -- 11. Blockchains, Cybercrime and Forensics -- 12. Special Engagements: Forecasts and Valuation -- 13. Simulated Transactions for Auditing Service Organizations.
Record Nr. UNINA-9910847597903321
Westland J. Christopher  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Basic Elements of Computational Statistics / / by Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin
Basic Elements of Computational Statistics / / by Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin
Autore Härdle Wolfgang Karl
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXI, 305 p. 97 illus., 66 illus. in color.)
Disciplina 519.50285
Collana Statistics and Computing
Soggetto topico Mathematical statistics - Data processing
Statistics
Computer science - Mathematics
Mathematical statistics
Biometry
Statistics and Computing
Statistical Theory and Methods
Probability and Statistics in Computer Science
Biostatistics
Statistics in Business, Management, Economics, Finance, Insurance
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
ISBN 3-319-55336-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Basics of R -- Numerical Techniques -- Combinatorics and Discrete Distributions -- Univariate Distributions -- Univariate Statistical Analysis -- Basic Nonparametric Methods -- Multivariate Distributions -- Multivariate Statistical Analysis -- Random Numbers in R -- Advanced Graphical Techniques in R -- Symbols and Notations.
Record Nr. UNINA-9910254309603321
Härdle Wolfgang Karl  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bayes Factors for Forensic Decision Analyses with R [[electronic resource] /] / by Silvia Bozza, Franco Taroni, Alex Biedermann
Bayes Factors for Forensic Decision Analyses with R [[electronic resource] /] / by Silvia Bozza, Franco Taroni, Alex Biedermann
Autore Bozza Silvia
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XII, 187 p. 22 illus., 5 illus. in color.)
Disciplina 519.5
Collana Springer Texts in Statistics
Soggetto topico Statistics
Mathematical statistics—Data processing
Forensic sciences
Medical jurisprudence
Forensic psychology
Social sciences—Statistical methods
Statistical Theory and Methods
Statistics and Computing
Forensic Science
Forensic Medicine
Forensic Psychology
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Estadística bayesiana
Processament de dades
Criminalística
R (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
Soggetto non controllato Bayes factor
scientific evidence
decision making
forensic science
uncertainty management
probability theory
forensic
decision analysis
Bayesian modeling
R
Bayesian statistics
probabilistic inference
ISBN 3-031-09839-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction to the Bayes factor and decision analysis -- Chapter 2: Bayes factor for model choice -- Chapter 3: Bayes factor for evaluative purposes -- Chapter 4: Bayes factor for investigative purposes.
Record Nr. UNISA-996495166503316
Bozza Silvia  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Bayes Factors for Forensic Decision Analyses with R / / by Silvia Bozza, Franco Taroni, Alex Biedermann
Bayes Factors for Forensic Decision Analyses with R / / by Silvia Bozza, Franco Taroni, Alex Biedermann
Autore Bozza Silvia
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XII, 187 p. 22 illus., 5 illus. in color.)
Disciplina 519.5
Collana Springer Texts in Statistics
Soggetto topico Statistics
Mathematical statistics—Data processing
Forensic sciences
Medical jurisprudence
Forensic psychology
Social sciences—Statistical methods
Statistical Theory and Methods
Statistics and Computing
Forensic Science
Forensic Medicine
Forensic Psychology
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Estadística bayesiana
Processament de dades
Criminalística
R (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
Soggetto non controllato Bayes factor
scientific evidence
decision making
forensic science
uncertainty management
probability theory
forensic
decision analysis
Bayesian modeling
R
Bayesian statistics
probabilistic inference
ISBN 3-031-09839-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction to the Bayes factor and decision analysis -- Chapter 2: Bayes factor for model choice -- Chapter 3: Bayes factor for evaluative purposes -- Chapter 4: Bayes factor for investigative purposes.
Record Nr. UNINA-9910623993803321
Bozza Silvia  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bayesian Statistical Modeling with Stan, R, and Python [[electronic resource] /] / by Kentaro Matsuura
Bayesian Statistical Modeling with Stan, R, and Python [[electronic resource] /] / by Kentaro Matsuura
Autore Matsuura Kentaro
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (395 pages)
Disciplina 519.542
Soggetto topico Mathematical statistics - Data processing
Statistics
Biometry
Social sciences - Statistical methods
Statistics and Computing
Statistical Theory and Methods
Statistics in Business, Management, Economics, Finance, Insurance
Biostatistics
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Estadística bayesiana
Processament de dades
Soggetto genere / forma Llibres electrònics
ISBN 9789811947551
9789811947544
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Introduction of Stan -- Essential Components and Techniques for Experts -- Advanced Topics for Real-world Data.
Record Nr. UNISA-996508571103316
Matsuura Kentaro  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Bayesian Statistical Modeling with Stan, R, and Python / / by Kentaro Matsuura
Bayesian Statistical Modeling with Stan, R, and Python / / by Kentaro Matsuura
Autore Matsuura Kentaro
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (395 pages)
Disciplina 519.542
Soggetto topico Mathematical statistics - Data processing
Statistics
Biometry
Social sciences - Statistical methods
Statistics and Computing
Statistical Theory and Methods
Statistics in Business, Management, Economics, Finance, Insurance
Biostatistics
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Estadística bayesiana
Processament de dades
Soggetto genere / forma Llibres electrònics
ISBN 9789811947551
9789811947544
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Introduction of Stan -- Essential Components and Techniques for Experts -- Advanced Topics for Real-world Data.
Record Nr. UNINA-9910645896403321
Matsuura Kentaro  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big and Complex Data Analysis : Methodologies and Applications / / edited by S. Ejaz Ahmed
Big and Complex Data Analysis : Methodologies and Applications / / edited by S. Ejaz Ahmed
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIV, 386 p. 85 illus., 55 illus. in color.)
Disciplina 005.7
Collana Contributions to Statistics
Soggetto topico Statistics
Mathematical statistics - Data processing
Quantitative research
Biometry
Data mining
Statistical Theory and Methods
Statistics and Computing
Data Analysis and Big Data
Biostatistics
Data Mining and Knowledge Discovery
ISBN 3-319-41573-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Introduction -- Unsupervised Bump Hunting Using Principal Components -- Statistical Process Control Charts as a Tool for Analyzing Big Data -- Empirical Likelihood Test for High Dimensional Generalized Linear Models -- Identifying gene-environment interactions associated with prognosis using penalized quantile regression -- A Computationally Efficient Approach for Modeling Complex and Big Survival Data -- Regularization after marginal learning for ultra-high dimensional regression models -- Tests of concentration for low-dimensional and high-dimensional directional data -- Random Projections For Large-Scale Regression -- How Different are Estimated Genetic Networks of Cancer Subtypes? -- Analysis of correlated data with error-prone response under generalized linear mixed models -- High-Dimensional Classification for Brain Decoding -- Optimal shrinkage estimation in heteroscedastic hierarchical linear models -- Bias-reduced moment estimators of Population Spectral Distribution and their applications -- Testing in the Presence of Nuisance Parameters: Some Comments on Tests Post-Model-Selection and Random Critical Values -- A Mixture of Variance-Gamma Factor Analyzers -- Fast Community Detection in Complex Networks with a K-Depths Classifier.
Record Nr. UNINA-9910254293703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bioaerosol Characterisation, Transportation and Transmission : Fundamental, Modelling and Application / / by Yihuan Yan, Jiyuan Tu
Bioaerosol Characterisation, Transportation and Transmission : Fundamental, Modelling and Application / / by Yihuan Yan, Jiyuan Tu
Autore Yan Yihuan
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (336 pages)
Disciplina 628.53
Altri autori (Persone) TuJiyuan
Soggetto topico Biomedical engineering
Fluid mechanics
Microbial ecology
Mathematical statistics—Data processing
Biomedical Engineering and Bioengineering
Engineering Fluid Dynamics
Environmental Microbiology
Statistics and Computing
ISBN 981-9922-56-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction .-Fundamentals of Bioaerosol Dynamics -- Fundamentals of Bioaerosol Infections -- Computational Fluid Dynamics (CFD) -- Mathematical Models -- Case Studies of Bioaerosol Transport and Dispersion -- Case Studies of Influential Factors on Bioaerosol Transport -- Case Studies of Bioaerosol Inhalation and Deposition -- Case Studies of Health Risk Assessment and Prevention Recommendations -- Advanced Modelling and Future Trend.
Record Nr. UNINA-9910734889403321
Yan Yihuan  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bioinformatic and Statistical Analysis of Microbiome Data [[electronic resource] ] : From Raw Sequences to Advanced Modeling with QIIME 2 and R / / by Yinglin Xia, Jun Sun
Bioinformatic and Statistical Analysis of Microbiome Data [[electronic resource] ] : From Raw Sequences to Advanced Modeling with QIIME 2 and R / / by Yinglin Xia, Jun Sun
Autore Xia Yinglin
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (716 pages)
Disciplina 576
Soggetto topico Bioinformatics
Biometry
Big data
Mathematical statistics - Data processing
Biotechnology
Biomedical engineering
Biostatistics
Big Data
Statistics and Computing
Biomedical Engineering and Bioengineering
Soggetto non controllato Microbiology
Science
ISBN 9783031213915
9783031213908
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction to Linux and Unix -- Chapter 2. Introduction to R, Rstudio -- Chapter 3. Bioinformatic Analysis of Next-Generation Sequencing -- Chapter 4. Bioinformatic Analysis of Metagenomics -- Chapter 5. Alpha Diversity -- Chapter 6. Beta Diversity -- Chapter 7. Differential Abundance Analysis -- Chapter 8. Analyzing Zero-Inflated Microbiome Data -- Chapter 9. Compositional Analysis of Microbiome Data -- Chapter 10. Longitudinal Data Analysis of Microbiome -- Chapter 11. Meta-analysis of Microbiome Data (optional).
Record Nr. UNISA-996547956503316
Xia Yinglin  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui