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Statistical inference, econometric analysis and matrix algebra festschrift in honour of Gotz Trenkler

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Published by Physica-Verlag, Springer [distributor] in Heidelberg, Berlin, New York .
Written in English

Subjects:

  • Mathematical statistics,
  • Econometrics,
  • Matrices

Book details:

Edition Notes

Includes bibliographical references.

StatementBernhard Schipp, Walter Kramer, editors.
ContributionsSchipp, Bernhard., Krämer, Walter, 1948-, Trenkler, Götz.
Classifications
LC ClassificationsQA276 .S7828 2009
The Physical Object
Paginationxvi, 434 p. :
Number of Pages434
ID Numbers
Open LibraryOL23860862M
ISBN 103790821209, 3790821217
ISBN 109783790821208, 9783790821215
LC Control Number2008936140

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Econometric Analysis Matrix algebra; Probability abd distribution theory; Statistical inference; Computation and optimization; The classical multiple linear regression model - specification and estimation; Inference and prediction; Functional form, nonlinearity, and specification; Data problems; Nonlinear regression models; Nonspherical disturbances; generalized regression, and GMM . Chapter 2. Matrix Algebra 2. Chapter 3. Probability and Distribution Theory 3. Chapter 4. Statistical Inference 5. Chapter 5. Computation and Optimization Chapter 6. The Classical Multiple Linear Regression. Model - Specification and Estimation Chapter 7. Inference and Prediction Chapter 8. Functional Form, Nonlinearity, and. Statistical Inference, Econometric Analysis and Matrix Algebra. Bernhard Schipp • Walter Krämer Editors Statistical Inference, Econometric Analysis and Matrix Algebra Festschrift in Honour of Götz Trenkler Physica-Verlag A Springer Company. Editors Prof. Dr. Walter Krämer Universität Dortmund. statistical inference econometric analysis and matrix algebra festschrift in honour of gtz trenkler Posted By Clive CusslerMedia TEXT ID f99c Online PDF Ebook Epub Library this unique collection of essays extends the frontiers of knowledge in econometrics as well as classical fields of statistical inference among others it presents advances in stochastic processes in the design of.