[PDF] Top 20 More on the Preliminary Test Stochastic Restricted Liu Estimator in Linear Regression Model
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More on the Preliminary Test Stochastic Restricted Liu Estimator in Linear Regression Model
... the preliminary test estimation procedure is adopted to select a suitable estimator, and it can also be used as another estimator with combining properties of both ...liminary test ... See full document
10
Liu Estimates and Influence Analysis in Regression Models with Stochastic Linear Restrictions and AR (1) Errors
... in regression models refers to the situation where the explanatory variables have the near-linear ...of linear unbiased ...no more reliable estimators, ...as linear stochastic ... See full document
16
On Diagnostics in Stochastic Restricted Linear Regression Models
... of stochastic restricted linear regression models based on stochastic restricted ridge estimator (SRRE) are studied in this ...The model and the estima- tors are ... See full document
9
Improving statistical inference with uncertain non-sample prior information
... simple linear regression model is ...(UE), restricted (RE), preliminary test (PTE) estimators as well as the unrestricted (UT), restricted (RT) and pre-test (PTT) ... See full document
11
Stochastic Restricted Maximum Likelihood Estimator in Logistic Regression Model
... the Stochastic Restricted Maximum Likelihood Estimator (SRMLE) for logistic regression model when the linear stochastic restriction was ...logistic regression ... See full document
15
EXACT DISTRIBUTION AND PERFORMANCE PROPERTIES OF PRE-TEST ESTIMATOR OF REGRESSION COEFFICIENT UNDER ORTHONORMAL REGRESSION MODEL
... Considering linear regression model with two explanatory variables, Giles and Srivastava (1993) obtained the exact distribution of least squares regression coefficient estimator after a ... See full document
14
Comparison of Some Suggested Estimators Based on Differencing Technique in the Partial Linear Model Using Simulation
... difference-based estimator ˆ diff by using MSE ...ridge estimator and Liu type estimator for the partially linear semiparametric model were studied when the errors are ... See full document
10
Estimation of the intercept parameter for linear regression model with uncertain non-sample prior information
... the linear regression model with normal error when uncertain non-sample prior in- formation about the value of the slope parameter is ...likelihood, restricted, preliminary test ... See full document
18
Shrinkage pre-test estimator of the intercept parameter for a regression model with mulativariate student-t errors
... simple regression model with a multivariate Student- t error distribution is ...unrestricted, restricted and preliminary test maximum likelihood estimators are ...the preliminary ... See full document
13
On the Restricted Almost Unbiased Ridge Estimator in Logistic Regression
... Unbiased Liu Logistic Estimator (AULLE) (Xinfeng, 2015 ...gistic regression by introducing new methods of estimating the shrinkage parameter in Liu-type ...some linear restrictions on ... See full document
10
Shrinkage estimation of the slope parameters of two parallel regression lines under uncertain prior information
... shrinkage restricted esti- mator (SRE) and shrinkage preliminary test estimator (SPTE), as a generalization of the restricted and preliminary test estimators, for the ... See full document
17
Amendments of a Stochastic Restricted Principal Components Regression Estimator in the Linear Model
... an estimator to solve this problem in the linear model when there were stochastic linear restrictions on the regression ...This estimator was called the stochastic ... See full document
9
A New Stochastic Restricted Liu Estimator for the Logistic Regression Model
... new Stochastic Restricted Liu Estimator in logistic regression ...Estimation, Liu Estimator Stochastic Restricted Maxi- mum Likelihood Estimator ... See full document
13
Stochastic Restricted Liu Type estimator for SUR model
... OLS estimator is the best linear unbiased estimator ...ridge estimator for linear regression proposed by Hoerl and Kennard(1970) that depended on adding more information ... See full document
9
Improvement of the Preliminary Test Estimator When Stochastic Restrictions are Available in Linear Regression Model
... estimate regression parameters in a multiple linear regression model when multi- colinearity exists among predictor ...available, preliminary test estimation proce- dure is ... See full document
10
Logistic regression for circular data
... the model parameters. The logistic regression model is used to analyse the relation between some predictors and a binary ...this model, consider the following logical ... See full document
9
Berry Esseen bounds for wavelet estimator in semiparametric regression model with linear process errors
... are identically distributed and strong mixing innovations with zero mean. Under appropriate conditions, the Berry-Esseen type bounds of wavelet estimators for b and g(·) are established. Our results obtained generalize ... See full document
18
Maximum likelihood estimators in linear regression models with Ornstein Uhlenbeck process
... ordinary linear regression model (when the errors are independent and identically dis- tributed ...Recently, linear re- gression with serially correlated errors has attracted increasing ... See full document
31
Preliminary Test Estimators and Phi-divergence Measures in Pooling Binomial Data
... a preliminary test based on restricted maximum likelihood estimator and classical Pearson's test ...the restricted maximum likelihood estimator we shall consider the ... See full document
13
Wavelets for Nonparametric Stochastic Regression with Pairwise Negative Quadrant Dependent Random Variables
... to more complicated data structures that often call for a specific algorithm tailored to the problem at ...proposed estimator in section 3 and study its asymptotic ... See full document
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