Non-Linear Statistical Models
A. Ronald Gallant
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Description for Non-Linear Statistical Models
Hardcover. A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications. Series: Wiley Series in Probability and Statistics. Num Pages: 624 pages, illustrations, bibliography, index. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 164 x 48. Weight in Grams: 1088.
A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications. The three major categories of statistical models that relate dependent variables to explanatory variables are covered: univariate regression models, multivariate regression models, and simultaneous equations models. Methods are illustrated with worked examples, complete with figures that display code and output.
A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications. The three major categories of statistical models that relate dependent variables to explanatory variables are covered: univariate regression models, multivariate regression models, and simultaneous equations models. Methods are illustrated with worked examples, complete with figures that display code and output.
Product Details
Format
Hardback
Publication date
1987
Publisher
John Wiley & Sons Inc United States
Number of pages
624
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
632
Place of Publication
New York, United States
ISBN
9780471802600
SKU
V9780471802600
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About A. Ronald Gallant
A. Ronald Gallant, Professor of Economics and Liberal Arts Research Professor, The Pennsylvania State University, US.
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