Книга: S. Eakambaram and R. Elangovan «Least Absolute Deviation Regression Theory and Methods»

Least Absolute Deviation Regression Theory and Methods

Производитель: "LAP Lambert Academic Publishing"

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. ISBN:9783846508565

Издательство: "LAP Lambert Academic Publishing" (2011)

ISBN: 9783846508565

См. также в других словарях:

  • Absolute deviation — In statistics, the absolute deviation of an element of a data set is the absolute difference between that element and a given point. Typically the point from which the deviation is measured is a measure of central tendency, most often the median… …   Wikipedia

  • Median absolute deviation — In statistics, the median absolute deviation (MAD) is a robust measure of the variability of a univariate sample of quantitative data. It can also refer to the population parameter that is estimated by the MAD calculated from a sample. For a… …   Wikipedia

  • Least squares — The method of least squares is a standard approach to the approximate solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns. Least squares means that the overall solution minimizes the sum of… …   Wikipedia

  • Regression analysis — In statistics, regression analysis is a collective name for techniques for the modeling and analysis of numerical data consisting of values of a dependent variable (response variable) and of one or more independent variables (explanatory… …   Wikipedia

  • Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… …   Wikipedia

  • Robust regression — In robust statistics, robust regression is a form of regression analysis designed to circumvent some limitations of traditional parametric and non parametric methods. Regression analysis seeks to find the effect of one or more independent… …   Wikipedia

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