Nonparametric methodologies for regression models with correlated data

Nonparametric methodologies for regression models with correlated data

Bibliographic Details
Main Author:	Giannitrapani, Marco
Published:	University of Glasgow 2006
Subjects:	519.5
Online Access:	http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439093

Similar Items

Detecting discontinuities using nonparametric smoothing techniques in correlated data
by: Yap, Christina
Published: (2004)

Simulation based Bayesian nonparametric regression methods
by: Denison, David George Taylor
Published: (1997)

A nonparametric regression approach to prediction in finite populations
by: Bennett, Kathleen Elizabeth
Published: (1994)

Graphics and inference in nonparametric modelling
by: Young, Stuart Gordon
Published: (1996)

Nonparametric predictive inference for system reliability
by: Aboalkhair, Ahmad M.
Published: (2012)

Bayesian nonparametric clustering based on Dirichlet processes
by: Murugiah, S.
Published: (2010)

Nonparametric predictive inference for future order statistics
by: Alqifari, Hana Nasser A.
Published: (2017)

Statistical inference on linear and partly linear regression with spatial dependence : parametric and nonparametric approaches
by: Thawornkaiwong, Supachoke
Published: (2012)

Higher order asymptotic theory for nonparametric time series analysis and related contributions
by: Velasco, Carlos
Published: (1996)

Graph-theoretic multivariate nonparametric procedures
by: Cortina Borja, Mario Jose Francisco
Published: (1992)

Contributions to strong approximations in time series with applications in nonparametric statistics and functional limit theorems
by: da Silveira Filho, Getulio Borges
Published: (1991)

Functional regression analysis and variable selection for motion data
by: Cheng, Yafeng
Published: (2016)

Ridge regression in generalized linear models
by: Bourges-Rodriguez, J. P.
Published: (1982)

Regression parameter estimation with serially correlated errors
by: Glasbey, C. A.
Published: (1984)

Errors in variables regression : what is the appropriate model?
by: Gillard, Jonathan William
Published: (2007)

Combining insights from mean and quantile regression : an application to spatio-temporal data
by: Liang, X. M.
Published: (2014)

Regularization in regression : partial least squares and related models
by: Borg Inguanez, Monique
Published: (2015)

Nonparametric estimation using the EM algorithm with applications in manpower planning
by: Devine, Colum Aloysius Mary John
Published: (1989)

Quantification of prediction uncertainty for principal components regression and partial least squares regression
by: Zhang, Y.
Published: (2014)

Sparse reduced-rank regression for imaging genetics studies : models and applications
by: Vounou, Maria
Published: (2012)

Methods of inference for nonparametric curves and surfaces
by: Bock, Mitchum T.
Published: (1999)

Bayesian method for nonlinear classification and regression
by: De Lance Holmes, Christopher Charles
Published: (2001)

D-optimal designs for weighted linear regression and binary regression models
by: GuÌˆnduÌˆz, Necla
Published: (1999)

Mis-specification and goodness-of-fit in logistic regression
by: Badi, Nuri H. Salem
Published: (2014)

Bayesian quantile regression using flexible likelihood functions
by: Aljuaid, Aziz Awadhallah S.
Published: (2017)

Development of the theoretical and methodological aspects of the singular spectrum analysis and its application for analysis and forecasting of economics data
by: Hassani, Hossein
Published: (2009)

Polyhedral attributes of production possibility sets in data envelopment analysis : with applications to sensitivity analysis and cross-evaluation methodologies
by: Argyris, Nikolaos
Published: (2007)

Polyhedral attributes of production possibility sets in data envelopment analysis, with applications to sensitivity analysis and cross-evaluation methodologies
by: Argyris, Nikolaos
Published: (2007)

Dimension reduction for functional regression with application to ozone trend analysis
by: Park, A. Y.
Published: (2014)

Robust regression estimation in generalized linear models
by: Hamzah, Nor Aishah
Published: (1995)

Optimal dynamic treatment regimes : regret-regression method with myopic strategies
by: Mohamed, Nur Anisah
Published: (2013)

A random set and prototype theory approach to rule-based regression
by: Li, Guanyi
Published: (2014)

Nonlinear multiple regression methods for spectroscopic analysis : application to NIR calibration
by: Cui, Chenhao
Published: (2018)

An efficient strategy for the selection of acceptable multiple regression models
by: Tailoka, Frank Patson
Published: (1999)

Sequential methodology and applications in sports rating
by: Taylor, Benjamin
Published: (2011)

Validation measures for prognostic models for independent and correlated binary and survival outcomes
by: Rahman, M. S.
Published: (2012)

Bayesian stochastic mortality modelling under serially correlated local effects
by: Mavros, George
Published: (2015)

Non-linear regression techniques in dosage-response analysis with particular reference to mixture of drugs
by: Cobby, John Michael
Published: (1975)

The development and application of time series methodologies to climatological data
by: Lane, Kevin
Published: (1991)

Generalised exponentially weighted regression and dynamic Bayesian forecasting models
by: Akram, M.
Published: (1984)

Cannot write session to /tmp/vufind_sessions/sess_4d1pv8gldmpnk347ddc8c857q6