Nonparametric methods in statistics with SAS applications
Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event analysis, density esti...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
Chapman and Hall/CRC, an imprint of Taylor and Francis
2013.
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| Edición: | 1st edition |
| Colección: | Texts in statistical science.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631116906719 |
Tabla de Contenidos:
- chapter 1 - Hypotheses Testing for Two Samples
- chapter 2 - Hypotheses Testing for Several Samples
- chapter 3 - Tests for Categorical Data
- chapter 4 - Nonparametric Regression
- chapter 5 - Nonparametric Generalized Additive Regression
- chapter 6 - Time-to-Event Analysis
- chapter 7 - Univariate Probability Density Estimation
- chapter 8 - Resampling Methods for Interval Estimation.
