Listing 1 - 7 of 7 |
Sort by
|
Choose an application
Choose an application
Choose an application
A comprehensive, practical treatment for professionals In less than two decades, the bootstrap has grown from an obscure object of theoretical study to a widely used resampling method with broad applications in numerous real-world situations. Bootstrap Methods: A Practitioner's Guide provides an introduction to the bootstrap for readers who have professional interest in these methods but do not have a background in advanced mathematics. It offers reliable, authoritative coverage of the bootstrap's considerable advantages as well as its drawbacks. This book updates classic texts in the field by presenting results on improved confidence set estimation, estimation of error rates in discriminant analysis, and applications to a wide variety of hypothesis testing and estimation problems. To alert readers to the limitations of the method, it exhibits counterexamples to the consistency of bootstrap methods. This book also makes connections between more traditional resampling methods and bootstrap. Outstanding special features of Bootstrap Methods include:* The most extensive and detailed bootstrap bibliography available, including more than 1,600 references* Discussions enlivened with stimulating topics such as data mining* Historical notes at the end of each chapter* Examples and explanations of when and why bootstrap is not effectiveBootstrap Methods is a serious, useful, and unparalleled practical guide for professionals in engineering, the sciences, clinical medicine, and applied statistics.
Choose an application
Mathematical statistics --- Bootstrap (Statistics) --- Edgeworth expansions --- Bootstrap (Statistique) --- Edgeworth, Expansions d' --- 519.24 --- 519.2 --- 519.23 --- Special statistical applications and models --- Probability. Mathematical statistics --- Statistical analysis. Inference methods --- Edgeworth expansions. --- 519.5 --- Edgeworth series --- Expansions, Edgeworth --- Distribution (Probability theory) --- Sampling (Statistics) --- Bootstrap (Statistics). --- 519.23 Statistical analysis. Inference methods --- 519.2 Probability. Mathematical statistics --- 519.24 Special statistical applications and models --- Bootstrap (statistique) --- Statistique mathématique --- Statistique mathématique --- Mathematical statistics. --- Statistique non paramétrique --- Distribution (théorie des probabilités) --- Methodes de simulation
Choose an application
Mathematical statistics --- Bootstrap (Statistics) --- Bootstrap (Statistics). --- Statistical methods --- computer applications --- data collection --- Data processing --- Bootstrap (statistique) --- 519.544 --- 303.0 --- 303.3 --- 303.6 --- 304.8 --- AA / International- internationaal --- 519.23 --- 519.2 --- Distribution (Probability theory) --- Sampling (Statistics) --- 519.23 Statistical analysis. Inference methods --- Statistical analysis. Inference methods --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Waarschijnlijkheid. Probabiliteit. Nauwkeurigheid. Residuals: measurement and specification (wiskundige statistiek) --- Raming : theorie (wiskundige statistiek). Bayesian analysis and inference --- Steekproeftheorie --- Bootstrap (Statistique) --- Statistique mathématique --- Statistique
Choose an application
"The idea for this book grew out of discussions between the statistics faculty and the engineering faculty at the Colorado School of Mines regarding our introductory statistics course for engineers. Our engineering faculty felt that the students needed substantial coverage of propagation of error, as well as more emphasis on modelfitting skills. The statistics faculty believed that students needed to become more aware of some important practical statistical issues such as the checking of model assumptions and the use of simulation"
Mathematical statistics --- Bootstrap (Statistics) --- Linear models (Statistics) --- Engineering --- Science --- Bootstrap (statistique) --- Modèles linéaires (statistique) --- Ingénierie --- Sciences --- Simulation methods. --- Statistical methods. --- Méthodes statistiques. --- 519.248 --- 519.248 Engineering statistics. Operational research statistics. Queuing theory. Quality control. Reliability etc. --- Engineering statistics. Operational research statistics. Queuing theory. Quality control. Reliability etc. --- Modèles linéaires (statistique) --- Ingénierie --- Méthodes statistiques.
Choose an application
Biometry --- Monte Carlo method --- Sampling (Statistics) --- Basic Sciences. Statistics --- Probability Theory, Sampling Theory --- Probability Theory, Sampling Theory. --- 57.087.1 --- 57.087.1 Biometry. Statistical study and treatment of biological data --- Biometry. Statistical study and treatment of biological data --- Biomathematics. Biometry. Biostatistics --- Mathematical statistics --- Biometry. --- Monte Carlo Method. --- Bootstrap (Statistics) --- Monte Carlo method. --- Echantillonnage (Statistique) --- Bootstrap (Statistique) --- Biométrie --- Monte-Carlo, Méthode de --- Acqui 2006
Listing 1 - 7 of 7 |
Sort by
|