Une pure merveille !
Un roman d'une grande beauté, drôle, fin, extrêmement lumineux sur des sujets difficiles : la perte de
l'être aimé, la dureté de la vie et la tristesse qu'on barricade parfois... Elise franco-japonaise,
orpheline de sa maman veut poser LA question à son père et elle en trouvera le courage au fil des pages,
grâce au retour de sa grand-mère du japon, de sa rencontre avec son extravagante amie Stella..
Ensemble il ne diront plus Sayonara mais Mata Ne !
Currently the standard source in Economics, Sociology, Political Science, Medical Research, Transport Research, and Environmental Economics, to name just...
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Currently the standard source in Economics, Sociology, Political Science, Medical Research, Transport Research, and Environmental Economics, to name just a few, the fourth edition of Econometric Analysis provides a comprehensive survey of econometrics, with significant pedagogical work that will continue to serve as a modern, up-to-date text and reference for future practitioners. An increased number of examples using real data sets, with extensive analyses worked out from current literature. Applications and examples from Economics, Finance, and Political Science. Chapter 9, on large sample results and alternative estimators for the Classical Regression Model. Chapters 17 and 18, thoroughly revised to reflect current trends in time series analysis, including frequency domain and long-terra memory models. A greater emphasis on nonlinear models, including full chapters on nonlinear regression and nonlinear optimization. Free Student-Version of LIMDEP with the text ! Packaged in the back of the text the student-version of LIMDEP includes a large number of data sets, giving students realistic data sets and challenging empirical analyses as a routine part of their econometrics training. Also included, complete computer solutions for the examples in the text.
Sommaire
Matrix Algebra
Probability and Distribution Theory
Statistical Inference
Computation and Optimization
The Classical Multiple Linear Regression Model: Specification and Estimation
Inference and Prediction
Functional Form, Nonlinearity, and Specification
Large-Sample Results and Alternative Estimators for the Classical Regression Model
Nonlinear Regression Models
Nonspherical Disturbances, Generalized Regression, and GMM Estimation