While probability theory is the conceptual framework behind random sampling, modeling of measurement processes, and the analysis of stochastic models – allwell-known techniques to many researchers in the social sciences – probability theory is often considered difficult or unwieldy to apply effectively to real-world research questions. Of late, several surprisingly complex yet direct applications of probabilitistic arguments have emerged in the social sciences, including new theories of causality, agent-based simulation models, and forecasts based on probabilistic models. These and several other fields of research and their applications make probability theory – both classical or fundamentalproponents and cutting-edge developments – a central part of the knowledge base for any social scientist. The Handbook of Probability Theory and Application presents an equal balance of theory and direct applications in a non-technical, yet comprehensive format so that researchers of various backgrounds can use the reference either as a primer for understanding basic probability theory or as a more advanced research tool for specific projects requiring a deeper understanding or application of probability. The wide-ranging applications of probability presented make it useful for researchers who need to make interdisciplinary connections in their work, as well as professors who teach a range ofstudents (social sciences, education, business, behavioral sciences) and needto bring probability into greater, concrete perspective for these students.
- ISBN: 978-1-4129-2714-7
- Editorial: Sage
- Encuadernacion: Cartoné
- Páginas: 925
- Fecha Publicación: 01/01/2008
- Nº Volúmenes: 1
- Idioma: Inglés