What Makes Variables Random: Probability for the Applied Researcher provides an introduction to the foundations of probability that underlie the statistical analyses used in applied research. By explaining probability in terms of measure theory, it gives the applied researchers a conceptual framework to guide statistica
What Makes Variables Random: Probability for the Applied Researcher provides an introduction to the foundations of probability that underlie the statistical analyses used in applied research. By explaining probability in terms of measure theory, it gives the applied researchers a conceptual framework to guide statisticaHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Peter Veazie, PhD, is an associate professor in health services research and policy at the University of Rochester. He is the Chief of the division of Health Policy and Outcomes Research and the Director of the Health Services Research and Policy graduate programs. Dr. Veazie's research interests include the psychology of health care decision making, health outcomes, and statistical research methods.
Inhaltsangabe
Preface Section I Preliminaries 1. Introduction 2. Mathematical Preliminaries Section II Measure and Probability 3. Measure Theory 4. Probability Section III Applications 5. Basic Models 6. Common Problems Bibliography Index
Preface Section I Preliminaries 1. Introduction 2. Mathematical Preliminaries Section II Measure and Probability 3. Measure Theory 4. Probability Section III Applications 5. Basic Models 6. Common Problems Bibliography Index
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