Amazon cover image
Image from Amazon.com

Linear models and regression analysis / Jorge A. Achcar, et al.

By: Material type: TextPublication details: New York : Magnum Publishing LLC, c2016.Description: xiv, 200 pages : illustrations ; 31 cmISBN:
  • 9781682501122
Subject(s): DDC classification:
  • c2016.
Summary: Contents: Robust linear regression models: use of a stable distribution for the response data. -- On diagnostics in stochastic restricted linear regression models. -- Sequential variable selection as Bayesian Pragmatism in linear factor models. -- A Bayesian Quantile regression analysis of potential risk factors for violent crimes in USA. -- The validity analysis of regression: combining uniform experiment design with nonlinear regression. -- The correlation and linear regression analysis between annual GDP growth rate and money laundering in Albania during the period 2007-2011*. -- Estimators of linear regression model and prediction under some assumptions violation. -- Robust regression diagnostics of influential observations in linear regression model. -- Cross- validation Shrinkage and variable selection in linear regression revisited. -- Composite Quantile regression for nonparametric model with random censored data. -- Optimal generalized biased estimator in linear regression model. -- Performance of some Stochastic restricted ridge estimator in linear regression model. -- Latent structure linear regression. -- A Gauss- Newton- based Broyden's class algorithm for parameters of regression analysis. -- Adjusted empirical likelihood for varying coefficient partially linear models with censored data. -- Maximum likelihood estimators in linear regression models with Ornstein- Uhlenbeck process. -- The consistency of estimator under fixed design regression model with NQD error. -- Asymptotic properties of wavelet-based estimator in nonparametric regression model with weakly dependent process. -- The use of cognitive ability measures as explanatory variables in regression analysis. -- Berry- Esseen bounds for wavelet estimator in semiparametric regression model with linear process errors.
Item type: Book
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Book DSSC LEARNING RESOURCE CENTER Circulation Cir./512/L645/c2016 (Browse shelf(Opens below)) Available 007897
Total holds: 0

Includes index.

Contents: Robust linear regression models: use of a stable distribution for the response data. -- On diagnostics in stochastic restricted linear regression models. -- Sequential variable selection as Bayesian Pragmatism in linear factor models. -- A Bayesian Quantile regression analysis of potential risk factors for violent crimes in USA. -- The validity analysis of regression: combining uniform experiment design with nonlinear regression. -- The correlation and linear regression analysis between annual GDP growth rate and money laundering in Albania during the period 2007-2011*. -- Estimators of linear regression model and prediction under some assumptions violation. -- Robust regression diagnostics of influential observations in linear regression model. -- Cross- validation Shrinkage and variable selection in linear regression revisited. -- Composite Quantile regression for nonparametric model with random censored data. -- Optimal generalized biased estimator in linear regression model. -- Performance of some Stochastic restricted ridge estimator in linear regression model. -- Latent structure linear regression. -- A Gauss- Newton- based Broyden's class algorithm for parameters of regression analysis. -- Adjusted empirical likelihood for varying coefficient partially linear models with censored data. -- Maximum likelihood estimators in linear regression models with Ornstein- Uhlenbeck process. -- The consistency of estimator under fixed design regression model with NQD error. -- Asymptotic properties of wavelet-based estimator in nonparametric regression model with weakly dependent process. -- The use of cognitive ability measures as explanatory variables in regression analysis. -- Berry- Esseen bounds for wavelet estimator in semiparametric regression model with linear process errors.

There are no comments on this title.

to post a comment.
Share