Essential statistics, regression, and econometrics / Gary Smith.

By: Smith, Gary, 1945-
Material type: TextTextPublisher: Amsterdam ; Boston : Academic Press, ©2012Description: 1 online resource (xii, 381 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceSubject(s): Regression analysis -- Textbooks | Econométrie | Statistiques économiques | Données statistiques | Analyse statistique | Moyens d'enseignement | Regression analysis | Regressionsanalyse | RegressionsanalyseGenre/Form: Electronic books. | Textbooks. | Electronic books. Additional physical formats: Print version:: Essential statistics, regression, and econometrics.DDC classification: 519.5 LOC classification: QA278.2Other classification: QH 300 | SK 980 | SK 840 Online resources: Click here to access online | Click here to access online
Contents:
Data, Data, Data -- Displaying Data -- Descriptive Statistics -- Probability -- Sampling -- Estimation -- Hypothesis Testing -- Simple Regression -- The Art of Regression Analysis -- Multiple Regression -- Modeling (Optional).
Summary: Essential Statistics, Regression, and Econometrics provides students with a readable, deep understanding of the key statistical topics they need to understand in an econometrics course. It is innovative in its focus, including real data, pitfalls in data analysis, and modeling issues (including functional forms, causality, and instrumental variables). This book is unusually readable and non-intimidating, with extensive word problems that emphasize intuition and understanding. Exercises range from easy to challenging and the examples are substantial and real, to help the students remember the technique better. Readable exposition and exceptional exercises/examples that students can relate toFocuses on key methods for econometrics students without including unnecessary topicsCovers data analysis not covered in other textsIdeal presentation of material (topic order) for econometrics course.
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Includes bibliographical references (pages 367-375) and index.

Print version record.

Essential Statistics, Regression, and Econometrics provides students with a readable, deep understanding of the key statistical topics they need to understand in an econometrics course. It is innovative in its focus, including real data, pitfalls in data analysis, and modeling issues (including functional forms, causality, and instrumental variables). This book is unusually readable and non-intimidating, with extensive word problems that emphasize intuition and understanding. Exercises range from easy to challenging and the examples are substantial and real, to help the students remember the technique better. Readable exposition and exceptional exercises/examples that students can relate toFocuses on key methods for econometrics students without including unnecessary topicsCovers data analysis not covered in other textsIdeal presentation of material (topic order) for econometrics course.

Data, Data, Data -- Displaying Data -- Descriptive Statistics -- Probability -- Sampling -- Estimation -- Hypothesis Testing -- Simple Regression -- The Art of Regression Analysis -- Multiple Regression -- Modeling (Optional).

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