Książka Econometric Analysis, Global Edition GREENE  WILLIAM H.

Econometric Analysis, Global Edition

Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 8-11 dni
345.67
This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educat...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2020
strony
1168
EAN
9781292231136
ISBN
9781292231136
Enbook ID
18099197
Waga
1660
Wymiary
184 x 233 x 35

Pełny opis

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. For first-year graduate courses in Econometrics for Social Scientists. Bridging the gap between social science studies and econometric analysisDesigned to bridge the gap between social science studies and field-econometrics, Econometric Analysis, 8th Edition, Global Edition, presents this ever-growing area at an accessible graduate level. The book first introduces students to basic techniques, a rich variety of models, and underlying theory that is easy to put into practice. It then presents students with a sufficient theoretical background to understand advanced techniques and to recognize new variants of established models. This focus, along with hundreds of worked numerical examples, ensures that students can apply the theory to real-world application and are prepared to be successful economists in the field.

Możesz być zainteresowany

Renegade Beauty

Nadine Artemis
82.95
445.96
445.96
240.50
474.40

Econometrics

Bruce Hansen
496.50
151.21

Capitalism and Freedom

Binyamin Appelbaum
71.07

Course in Econometrics

Arthur S Goldberger
471.47

Applied Econometrics

DIMITRIOS ASTERIOU
339.44

Introductory Econometrics

Arthur S. Goldberger
480.82
405.75
31.64

Klienci, którzy kupili tę książkę, kupili również

Introductory Econometrics

Jeffrey M Wooldridge
470.60
525.23
280.91
199.70
228.43
83.44
373.03

All the Math You Missed

Thomas A. Garrity
113.24
446.45

How to Prove It

Daniel J. Velleman
187.83

Numerical Mathematics

Alfio Quarteroni
352.29