Probability Theory and Statistical Inference

Aris Spanos

ISBN 10: 0521424089 / ISBN 13: 9780521424080

Published by Cambridge University Press, 1999

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This major textbook from a distinguished econometrician is intended for students taking introductory courses in probability theory and statistical inference. No prior knowledge other than a basic familiarity with descriptive statistics is assumed. The primary objective of this book is to establish the framework for the empirical modelling of observational (non-experimental) data. This framework known as 'Probabilistic Reduction' is formulated with a view to accommodating the peculiarities of observational (as opposed to experimental) data in a unifying and logically coherent way. Probability Theory and Statistical Inference differs from traditional textbooks in so far as it emphasizes concepts, ideas, notions and procedures which are appropriate for modelling observational data. Aimed at students at second-year undergraduate level and above studying econometrics and economics, this textbook will also be useful for students in other disciplines which make extensive use of observational data, including finance, biology, sociology and psychology and climatology.

Seller Inventory # 9780521424080

Bibliographic Details

• Title: Probability Theory and Statistical Inference
• Publisher: Cambridge University Press
• Publication Date: 1999
• Language: English
• ISBN 10: 0521424089
• ISBN 13: 9780521424080
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 45D millimeters 244 millimeters width by 170 millimeters height by 45 millimeters depth
• Weight: 1426 grams

About this title

Synopsis

This major new textbook is intended for students taking introductory courses in probability theory and statistical inference. The primary objective of this book is to establish the framework for the empirical modeling of observational (nonexperimental) data. The text is extremely student friendly, with pathways designed for semester usage, and although aimed primarily at students at second-year undergraduate level and above studying econometrics and economics, Probability Theory and Statistical Inference will also be useful for students in other disciplines that make extensive use of observational data, including finance, biology, sociology and psychology.

About the Author

Aris Spanos is Wilson Schmidt Professor of Economics at Virginia Tech. He has also taught at Birkbeck College, London, the University of Cambridge, the University of California and the University of Cyprus. Professor Spanos is the author of Probability Theory and Statistical Inference (1999) and Statistical Foundations of Econometric Modeling (1986), both published by Cambridge University Press. Professor Spanos's research has appeared in journals such as the Journal of Econometrics, Econometric Theory, Econometric Reviews, and Philosophy of Science. His research interests include the philosophy and methodology of statistical inference and modeling, foundational problems in statistics, statistical adequacy, misspecification testing and respecification, resampling and simulation techniques and modeling speculative prices.