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Nonparametric Econometrics Theory and Practice

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Nonparametric Econometrics Theory and...

Nonparametric Econometrics Theory and Practice

Qi Li and Jeffrey S. Racine

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როგორ მოგეწონათ ეს წიგნი?

როგორი ხარისხისაა ეს ფაილი?

ჩატვირთეთ, ხარისხის შესაფასებლად

როგორი ხარისხისაა ჩატვირთული ფაილი?

Nonparametric Econometrics Theory and Practice by Qi Li and Jeffrey S. Racine (2007)

with Errata and clear chapter 1.

კატეგორია:

Business & Economics - Econometrics

წელი:

2007

გამომცემლობა:

Princeton University Press

ენა:

english

ISBN 10:

0691121613

ISBN 13:

9780691121611

ფაილი:

PDF, 34.50 MB

IPFS:

,

english, 2007

ონლაინ წაკითხვა

ხორციელდება კონვერტაციის -ში

კონვერტაციის -ში ვერ მოხერხდა

შესაძლოა დაგაინტერესოთ

Qi Li, Jeffrey Scott Racine — Nonparametric Econometrics: Theory and Practice

Jeffrey S Racine — Nonparametric econometrics: a primer

Thanasis Stengos — Nonparametric Econometric Methods and Application

Sucharita Ghosh — Kernel Smoothing Principles Methods And Applications

Wolfgang H¨ardle — Applied Nonparametric Regression

Wolfgang H¨ardle — Applied Nonparametric Regression

Wolfgang H¨ardle — Applied Nonparametric Regression

Wolfgang H¨ardle — Applied Nonparametric Regression

Wolfgang H¨ardle — Applied Nonparametric Regression

unknown — Semiparametric Methods in Econometrics

Daniel J. Henderson; Christopher F. Parmeter — Applied Nonparametric Econometrics

Jeffrey Racine, Liangjun Su, Aman Ullah — The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics

Jianqing Fan, Qiwei Yao — Nonlinear time series: Nonparametric and Parametric Methods

Larry Wasserman — All of Nonparametric Statistics

Frédéric Ferraty, Philippe Vieu — Nonparametric Functional Data Analysis: Theory and Practice

Jeffrey S. Simonoff — Smoothing Methods in Statistics (Springer Series in Statistics)

Jeffrey D. Hart — Nonparametric smoothing and lack-of-fit tests

Jianqing Fan, Qiwei Yao — Nonlinear Time Series: Nonparametric and Parametric Methods

M. P. Wand, M. C. Jones (auth.) — Kernel Smoothing

Fan J., Gijbels I. — Local polynomial modelling and its applications

Michael G. Schimek — Smoothing and Regression: Approaches, Computation, and Application

David W. Scott — Multivariate density estimation: theory, practice, and visualization

David W. Scott — Multivariate Density Estimation: Theory, Practice, and Visualization

Adonis Yatchew — Semiparametric regression for the applied econometrician

Daniel J. Henderson , Christopher F. Parmeter — Applied Nonparametric Econometrics

Adrian Pagan, Aman Ullah — Nonparametric econometrics

William A. Barnett, James Powell, George E. Tauchen — Nonparametric and Semiparametric Methods in Econometrics and Statistics

Wolfgang Härdle — Applied Nonparametric Regression

Randall L. Eubank — Nonparametric Regression and Spline Smoothing

Sucharita Ghosh — Kernel Smoothing: Principles, Methods and Applications

Frédéric Ferraty, Philippe Vieu — Nonparametric Functional Data Analysis

Jeffrey D. Hart (auth.) — Nonparametric Smoothing and Lack-of-Fit Tests

Qi Li, Jeffrey Scott Racine — Nonparametric Econometric Methods (Advances in Econometrics)

Masayuki Hirukawa — Asymmetric Kernel Smoothing

Odile, Pons. — Functional Estimation for Density, Regression Models and Processes

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