Ron C. Mittelhammer

Mathematical Statistics for Economics and Business (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book is designed to provide beginning graduate stu dents and advanced undergraduates with a rigorous and accessible foundation in the principles of probability and mathematical statistics underlying statis tical inference in the fields of business and economics. The book assumes no prior knowledge of probability or statistics and effectively builds the subject "from the ground up." Students who complete their studies of the topics in this text will have acquired the necessary background to achieve a mature and enduring understanding of statistical and econometric methods of inference and will be well equipped to read and comprehend graduate-level economet rics texts. Additionally, this text serves as an effective bridge to more advanced study of both mathematical statistics and econometric theory and methods. The book will also be of interest to researchers who desire a decidedly business and economics-oriented treatment of the subject in terms of its topics, depth, breadth, examples, and problems.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 724
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461239888
• Artikelnr.: 44175623

Autorenporträt

Ron Mittelhammer is a Regents Professor of Economic Sciences and Statistics at Washington State University. He is also a Fellow of the Journal of Econometrics, a Fellow of the Agricultural and Applied Economics Association (AAEA), and a Distinguished Scholar of the Western Ag. Economics Association. He has over 250 publications and presentations to his credit, including 100 refereed journal publications. He is a celebrated teacher at the graduate level, receiving national and university-wide awards for instruction, including the AAEA Award for Distinguished Graduate Teaching, the Washington State University Sahlin Faculty Excellence Award in Teaching, and the WSU-CAHNRS Teaching Excellence Award. He served as President-Elect, President, and Past-President of the AAEA from 2008-2011.

Inhaltsangabe

Elements of Probability Theory.- Random Variables, Densities, and Cumulative Distribution Functions.- Expectations and Moments of Random Variables.- Parametric Families of Density Functions.- Basic Asymptotics.- Sampling, Sample Moments, Sampling Distributions, and Simulation.- Point Estimation Theory.- Point Estimation Methods.- Hypothesis Testing Theory.- Hypothesis Testing Methods and Confidence Regions.- Appendix.