Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.