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Advances in Econometrics and Quantitative Economics
Maddala
€ 197.71
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Description for Advances in Econometrics and Quantitative Economics
Hardcover. A guide to the statistical methods used in econometrics and quantitative economics. The book covers such topics as semiparametric and non-parametric interference, multivariate analysis, diagnostic tests, and time series behaviour of commodity prices. Editor(s): Maddala, GS (Ohio State University USA); Phillips, Peter (Sterling Professor of Economics and Statistics, Yale University, Connecticut, USA); Srinivasan, T.N. (Samuel C. Park Jr Professor of Economics, Yale University, Connecticut, USA). Num Pages: 528 pages, 0. BIC Classification: KCHS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 236 x 166 x 36. Weight in Grams: 906.
A comprehensive guide to the statistical methods used in economics and quantitative economics. Acknowledged experts cover topics such as: * Semiparametic and non-parametic interference * Time series behaviour of commodity prices * Applications of Edgeworth expansions and quantitative methods in development economics.
A comprehensive guide to the statistical methods used in economics and quantitative economics. Acknowledged experts cover topics such as: * Semiparametic and non-parametic interference * Time series behaviour of commodity prices * Applications of Edgeworth expansions and quantitative methods in development economics.
Product Details
Format
Hardback
Publication date
1995
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
528
Condition
New
Number of Pages
528
Place of Publication
Hoboken, United States
ISBN
9781557863829
SKU
V9781557863829
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Maddala
G. S. Maddala is a University Eminent Scholar at the Ohio State University. Peter C. B. Phillips is Sterling Professor of Economics and Statistics at Yale University. T. N. Srinivasan is Samuel C. Park Jr. Professor of Economics at Yale University, all USA.
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