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Mathematical statistics --- Bootstrap (Statistics) --- Bootstrap (Statistique) --- Distribution (Probability theory) --- Sampling (Statistics) --- Bootstrap (Statistics).

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Bootstrap methods are computer-intensive methods of statistical analysis, which use simulation to calculate standard errors, confidence intervals, and significance tests. The methods apply for any level of modelling, and so can be used for fully parametric, semiparametric, and completely nonparametric analysis. This 1997 book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models; classification; time series and spatial problems. Special features of the book include: extensive discussion of significance tests and confidence intervals; material on various diagnostic methods; and methods for efficient computation, including improved Monte Carlo simulation. Each chapter includes both practical and theoretical exercises. S-Plus programs for implementing the methods described in the text are available from the supporting website.

Bootstrap (Statistics) --- Distribution (Probability theory) --- Sampling (Statistics) --- Bootstrap (Statistique) --- Mathematical statistics --- Bootstrap (Statistics).

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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

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This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.

Linear models (Statistics) --- Bootstrap (Statistics) --- Mathematical statistics --- Modèles linéaires (Statistique) --- Bootstrap (Statistique) --- Statistique mathématique --- -Bootstrap (Statistics) --- -Mathematical statistics --- -519.5 --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Distribution (Probability theory) --- Models, Linear (Statistics) --- Mathematical models --- Electronic information resources --- Statistical methods --- E-books --- Modèles linéaires (Statistique) --- Statistique mathématique --- Mathematical statistics.

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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