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Phoebus J. Dhrymes - Mathematics for Econometrics - 9781461481447 - V9781461481447
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Mathematics for Econometrics

€ 123.12
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Description for Mathematics for Econometrics Paperback. Mathematics for Econometrics Num Pages: 436 pages, 1 black & white illustrations, 10 black & white tables, biography. BIC Classification: KCH; PBT. Category: (P) Professional & Vocational. Dimension: 233 x 160 x 24. Weight in Grams: 676.

This book deals with a number of mathematical topics that are of great importance in the study of classical econometrics. There is a lengthy chapter on matrix algebra, which takes the reader from the most elementary aspects to the partitioned inverses, characteristic roots and vectors, symmetric, and orthogonal and positive (semi) definite matrices. The book also covers pseudo-inverses, solutions to systems of linear equations, solutions of vector difference equations with constant coefficients and random forcing functions, matrix differentiation, and permutation matrices. Its novel features include an introduction to asymptotic expansions, and examples of applications to the general-linear model (regression) and ... Read more

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Product Details

Format
Paperback
Publication date
2013
Publisher
Springer
Number of pages
300
Condition
New
Number of Pages
419
Place of Publication
New York, NY, United States
ISBN
9781461481447
SKU
V9781461481447
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Phoebus J. Dhrymes
Professor Dhrymes is currently Professor of Economics at Columbia University. Earlier he taught at Harvard, University of Pennsylvania, University of California at Los Angeles, and Monash University in Australia. He is a fellow of the Econometric Society and the American Statistical Association. He has been a managing editor and editor of the International Economic Review, and one of ... Read more

Reviews for Mathematics for Econometrics
“Dhrymes’ Mathematics for Econometrics is an interesting book for review in Technometrics. Econometrics is an area likely studied by quite a few readers, especially those with graduate backgrounds in business and/or economics. The current text offers an excellent reference for readers wishing to study econometrics in the future … . Statisticians will find it useful as well, both as a ... Read more

Goodreads reviews for Mathematics for Econometrics


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