Cours / Henri Bergson.- Paris : PUF, 1990-1995

• Record Nr.: UNISA990005621740203316
• Autore: BERGSON, Henri
• Pubbl/distr/stampa: 3 v. ; 23 cm.
• Collana: Epimethee : essais philosophiques / collection fondée par Jean Hyppolite et dirigée par Jean-Luc Marion
• Disciplina: 143
• Lingua di pubblicazione: Francese
• Formato: Grafica
• Livello bibliografico: Monografia

Bootstrap methods [[electronic resource] ] : a guide for practitioners and researchers / / Michael R. Chernick

• Record Nr.: UNINA9910831069803321
• Autore: Chernick Michael R
• Pubbl/distr/stampa: Hoboken, NJ, : Wiley-Interscience, c2008
• ISBN: 1-118-21159-6; 1-281-09437-4; 9786611094379; 0-470-19257-7; 0-470-19256-9
• Edizione: [2nd ed.]
• Descrizione fisica: 1 online resource (399 p.)
• Collana: Wiley series in probability and statistics
• Disciplina: 519.54
• Soggetti: Bootstrap (Statistics); Sampling (Statistics)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 188-329) and indexes.
• Nota di contenuto: Bootstrap Methods; Contents; Preface to Second Edition; Preface to First Edition; Acknowledgments; 1. What Is Bootstrapping?; 2. Estimation; 3. ; Confidence Sets and Hypothesis Testing; 4. Regression Analysis; 5. Forecasting and Time Series Analysis; 6. Which Resampling Method Should You Use?; 7. Efficient and Effective Simulation; 8. Special Topics; 9. When Bootstrapping Fails Along with Remedies for Failures; Bibliography 1 (Prior to 1999); Bibliography 2 (1999-2007); Author Index; Subject Index
• Sommario/riassunto: A practical and accessible introduction to the bootstrap method--newly revised and updated Over the past decade, the application of bootstrap methods to new areas of study has expanded, resulting in theoretical and applied advances across various fields. Bootstrap Methods, Second Edition is a highly approachable guide to the multidisciplinary, real-world uses of bootstrapping and is ideal for readers who have a professional interest in its methods, but are without an advanced background in mathematics. Updated to reflect current techniques and the most up-to-date work on the