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Published by Nova Science Publishers, Incorporated, 2013
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Paperback. Condition: new. Paperback. This book addresses two interrelated problems in economics modelling: non-nested hypothesis testing in econometrics, and regression models with stochastic/random regressors. The primary motivation for this book stems from the nature of econometric models. As an abstraction from reality, each statistical model consists of mathematical relationships and stochastic, behavioural assumptions. In practice, the validity of these assumptions and the adequacy of the mathematical specifications is ascertained through a series of diagnostic and specification tests. Conventional test procedures, however, fail to recognise that economic theory generally provides more than one distinct model to explain any given economic phenomenon. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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ISBN 10: 1624177700 ISBN 13: 9781624177705
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Condition: New. Editor(s): Bhatti, M. Ishaq; Bodla, Mahmood Ahmad. Num Pages: 109 pages, illustrations. BIC Classification: KCH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 228 x 162 x 9. Weight in Grams: 250. . 2013. UK ed. Paperback. . . . . Books ship from the US and Ireland.
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Published by Nova Science Publishers Inc, 2013
ISBN 10: 1624177700 ISBN 13: 9781624177705
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Condition: New. KlappentextrnrnThis book addresses two interrelated problems in economics modelling: non-nested hypothesis testing in econometrics, and regression models with stochastic/random regressors. The primary motivation for this book stems from the natu.
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Published by Nova Science Publishers Inc, New York, 2013
ISBN 10: 1624177700 ISBN 13: 9781624177705
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Paperback. Condition: new. Paperback. This book addresses two interrelated problems in economics modelling: non-nested hypothesis testing in econometrics, and regression models with stochastic/random regressors. The primary motivation for this book stems from the nature of econometric models. As an abstraction from reality, each statistical model consists of mathematical relationships and stochastic, behavioural assumptions. In practice, the validity of these assumptions and the adequacy of the mathematical specifications is ascertained through a series of diagnostic and specification tests. Conventional test procedures, however, fail to recognise that economic theory generally provides more than one distinct model to explain any given economic phenomenon. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Published by Nova Science Publishers Inc, US, 2013
ISBN 10: 1624177700 ISBN 13: 9781624177705
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Published by Nova Science Publishers Inc Jul 2013, 2013
ISBN 10: 1624177700 ISBN 13: 9781624177705
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Taschenbuch. Condition: Neu. Neuware - This book addresses two interrelated problems in economics modelling: non-nested hypothesis testing in econometrics, and regression models with stochastic/random regressors. The primary motivation for this book stems from the nature of econometric models. As an abstraction from reality, each statistical model consists of mathematical relationships and stochastic, behavioural assumptions. In practice, the validity of these assumptions and the adequacy of the mathematical specifications is ascertained through a series of diagnostic and specification tests. Conventional test procedures, however, fail to recognise that economic theory generally provides more than one distinct model to explain any given economic phenomenon.
Language: English
Published by Nova Science Publishers Inc, 2013
ISBN 10: 1624177700 ISBN 13: 9781624177705
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Taschenbuch. Condition: Neu. Non-Nested Regression Models | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | Nova Science Publishers Inc | EAN 9781624177705 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Published by NOVA SCIENCE PUBLISHERS INC (7/2013), 2013
ISBN 10: 1624177700 ISBN 13: 9781624177705
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