Least Absolute Deviations Estimation For Censored And Truncated Regression Models
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Least Absolute Deviations Estimation for Censored and Truncated Regression Models
Author | : James Leo Powell |
Publisher | : |
Total Pages | : 262 |
Release | : 1981 |
Genre | : Econometrics |
ISBN | : |
Least Absolute Deviation Regression Theory and Methods
Author | : S. Eakambaram |
Publisher | : LAP Lambert Academic Publishing |
Total Pages | : 120 |
Release | : 2011-10 |
Genre | : |
ISBN | : 9783846508565 |
This monograph deals with Introduction, Basic Concepts, Brief Review of Regression Theory. It present the work related to Least Absolute Deviations (LAD) Regression and its estimation theory with and without auto correlated errors. LAD and Least Squares estimation of censored regression model with fixed and marginal effects are also discussed. Further, it contains LAD estimation for linear and nonlinear regression model for truncated and censored data.
The Least Absolute Deviations Estimators in Generalized Regression Models
Author | : Kazumitsu Nawata |
Publisher | : |
Total Pages | : 36 |
Release | : 1990 |
Genre | : Estimation theory |
ISBN | : |
Regression Models
Author | : Richard Breen |
Publisher | : SAGE |
Total Pages | : 92 |
Release | : 1996-01-09 |
Genre | : Mathematics |
ISBN | : 9780803957107 |
This book provides an introduction to the regression models needed, where an outcome variable for a sample is not representative of the population from which a generalized result is sought.
Analysis of Panel Data
Author | : Cheng Hsiao |
Publisher | : Cambridge University Press |
Total Pages | : 563 |
Release | : 2014-12-08 |
Genre | : Business & Economics |
ISBN | : 1107038693 |
This book provides a comprehensive, coherent, and intuitive review of panel data methodologies that are useful for empirical analysis. Substantially revised from the second edition, it includes two new chapters on modeling cross-sectionally dependent data and dynamic systems of equations. Some of the more complicated concepts have been further streamlined. Other new material includes correlated random coefficient models, pseudo-panels, duration and count data models, quantile analysis, and alternative approaches for controlling the impact of unobserved heterogeneity in nonlinear panel data models.