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Beyond the T-Test / / by Scott A. Pardo
| Beyond the T-Test / / by Scott A. Pardo |
| Autore | Pardo Scott A |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (329 pages) |
| Disciplina | 300.727 |
| Soggetto topico |
Social sciences - Statistical methods
Machine learning Stochastic models Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistical Learning Stochastic Modelling in Statistics |
| ISBN | 3-031-84479-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Populations, Samples, Parameters, and Statistics -- Chapter 2. Some Probability Concepts -- Chapter 3. Estimation, Hypothesis Testing and the Scientific Method -- Chapter 4. Binary Random Variables and Acceptance Sampling Plans -- Chapter 5. Continuous Variables, the Normal Distribution, and the Central Limit Theorem -- Chapter 6. Continuous Variables and Acceptance Sampling Plans -- Chapter 7. Confidence -- Chapter 8. Some Confidence Interval Computations, Including Bootstrapping -- Chapter 9. Linear Regression, Correlation, and Least Squares -- Chapter 10. Analysis of Variance -- Chapter 11. Poisson and Exponential Variables, Rate, and Time-to-Event -- Chapter 12. 2k Factorial Experiments -- Chapter 13. Nonparametric Methods – Rank-Based Tests, Permutation Tests and Resampling Methods -- Chapter 14. Nonlinear and Logistic Regression -- Chapter 15. Model Building -- Chapter 16. Multivariate Analysis -- Chapter 17. Bayesian Methods – Markov Chain Montel Carlo Approach -- Chapter 18. Machine Learning and Data-Intensive Methods -- Chapter 19. Time Series and Dynamic Systems -- Index. |
| Record Nr. | UNINA-9911009339403321 |
Pardo Scott A
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Empirical Modeling and Data Analysis for Engineers and Applied Scientists / / by Scott A. Pardo
| Empirical Modeling and Data Analysis for Engineers and Applied Scientists / / by Scott A. Pardo |
| Autore | Pardo Scott A |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XV, 247 p. 101 illus., 61 illus. in color.) |
| Disciplina | 620.0042 |
| Soggetto topico |
Statistics
Biotechnology Chemistry, Technical Ecology Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistical Theory and Methods Chemical Bioengineering Industrial Chemistry Environmental Sciences |
| ISBN | 3-319-32768-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Acknowledgments -- 1. Some Probability Concepts -- 2. Some Statistical Concepts -- 3. Measurement Systems Analysis -- 4. Modeling with Data -- 5. Factorial Experiments -- 6. Fractional Factorial Designs -- 7. Higher Order Approximations -- 8. Mixture Experiments -- 9. Some Examples and Applications -- 10. Binary Logistic Regression -- 11. Reliability, Life Testing, and Shelf Life -- 12. Some Bayesian Concepts -- 13. Validation and Verification -- 14. Simulation and Random Variable Generation -- 15. Taguchi Methods® and Robust Design -- References. |
| Record Nr. | UNINA-9910254065103321 |
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Pardo Scott A
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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