• No results found

[PDF] Top 20 Some Statistical Properties of Spectral Regression Estimators

Has 10000 "Some Statistical Properties of Spectral Regression Estimators" found on our website. Below are the top 20 most common "Some Statistical Properties of Spectral Regression Estimators".

Some Statistical Properties of Spectral Regression Estimators

Some Statistical Properties of Spectral Regression Estimators

... ridge regression expression. With an iteratively regression process- ing, a better estimated performance was obtained compared with ` 2 − PCA and ` 1 −PCA ... See full document

152

Some Ridge Regression Estimators and Their Performances

Some Ridge Regression Estimators and Their Performances

... on some predictors: age, body weight, blood pressure, food intake and stress causes ...model, regression coefficients may be statistically insignificant or have wrong sign or have large sampling variance ... See full document

34

Ridge Regression Based on Some Robust Estimators

Ridge Regression Based on Some Robust Estimators

... S estimators are high breakdown ...the properties of high breakdown, efficiency and robustness against outliers in the x and y ...ridge regression estimates based on GM S and GM MM estimators ... See full document

8

On the Statistical Properties of Some Estimators of Linear System Parameters in Time Domain Analysis  EUR 4480

On the Statistical Properties of Some Estimators of Linear System Parameters in Time Domain Analysis EUR 4480

... This report deals with the problem of determining some of the fundamental parameters of stationary ergodic random signals (mean value, auto- and cross- correlation functions, covariance[r] ... See full document

74

Some properties of relative efficiency of estimators in a two linear regression equations system with identical parameter vectors

Some properties of relative efficiency of estimators in a two linear regression equations system with identical parameter vectors

... with some of the parameters identical are discussed in this ...linear regression equations system with identical parameter vectors, also we give the lower and upper bounds of the four relative ... See full document

8

Estimators of Linear Regression Model and Prediction under Some Assumptions Violation

Estimators of Linear Regression Model and Prediction under Some Assumptions Violation

... Linear regression model is probably the most widely used statistical technique for solving functional relation- ship problems among ...linear regression model is for- mulated under some basic ... See full document

13

Comparison of Some Improved Estimators for Linear Regression Model under Different Conditions

Comparison of Some Improved Estimators for Linear Regression Model under Different Conditions

... a statistical technique for determining relationship between variables, this relationship is formulated by a statistical ...This statistical equation allows us to predict the values of dependent ... See full document

62

Asymptotic properties of the efficient estimators for cointegrating regression models with serially dependent errors

Asymptotic properties of the efficient estimators for cointegrating regression models with serially dependent errors

... efficient estimators for cointegrating regres- sion models: the FMR, CCR, and ...efficient estimators depends on the approaching speed of the AR coefficient; these estimators are efficient in some ... See full document

40

The Effects of Haze on the Spectral and Statistical Properties of Land Cover Classification

The Effects of Haze on the Spectral and Statistical Properties of Land Cover Classification

... the original class radiance (red curve) and hazy class radiance (black curve) is very small for most classes. Similarly, there is little difference between the standard deviation of the original class radiance (red ... See full document

13

Asymptotic properties of Lp-estimators

Asymptotic properties of Lp-estimators

... ASYMPTOTIC PROPERTIES OF LP -ESTIMATORS Some sufficient conditions for consistency and asymptotic normality of a non-linear regression parameter Lp -estimator are presented for a continuou[r] ... See full document

9

Spectral Regression for Dimensionality Reduction

Spectral Regression for Dimensionality Reduction

... proposed to solve this problem. Despite the different motivations of these algorithms, they can be nicely interpreted in a general graph embedding framework [6, 18, 33]. Given a graph G with m vertices, each vertex ... See full document

30

On Some Ridge Regression Estimators for Logistic Regression Models

On Some Ridge Regression Estimators for Logistic Regression Models

... Logistic regression is a widely used method for categorical ...of regression model where the response variable is a dichotomous variable and the independent variables are continuous or ...logistic ... See full document

59

On the Performance of some Poisson Ridge Regression Estimators

On the Performance of some Poisson Ridge Regression Estimators

... Two methods of dealing with multicollinearity are collecting more data and model respecification. While collecting more data may be the best way to correct multicollinear- ity, it is not always possible to collect ... See full document

54

Some almost unbiased ridge regression estimators for the zero-inflated negative binomial regression model

Some almost unbiased ridge regression estimators for the zero-inflated negative binomial regression model

... proposed a Liu-type estimator for the negative binomial regression models. However, these estimators may have a large bias. In order to solve this problem, the almost unbiased ridge estimator (AURE) was ... See full document

8

A Note on Spectral Properties of Some Gradient Methods

A Note on Spectral Properties of Some Gradient Methods

... on Spectral Properties of Some Gradient Methods Daniela di Serafino 1,b) , Valeria Ruggiero 2,c) , Gerardo Toraldo 3,a) and Luca Zanni 4,d) 1 Department of Mathematics and Physics, Second University ... See full document

6

Spectral Radius and Some Hamiltonian Properties of Graphs

Spectral Radius and Some Hamiltonian Properties of Graphs

... We consider only finite undirected graphs without loops or multiple edges. Notation and terminology not defined here follow those in [2]. For a graph , , we use , , , and Δ to denote its order || , size || , minimum ... See full document

5

On Estimators of a Spectral Density Function

On Estimators of a Spectral Density Function

... derstand the underlying context of the data through the use of stochastic mod- els to forecast future values and to simulate based on previously observed val- ues. Methods for time series analysis may be divided into two ... See full document

69

The Empirical Properties of Some Popular Estimators of Long Memory Processes

The Empirical Properties of Some Popular Estimators of Long Memory Processes

... asymptotic properties of various esti- mators have been ...(1995). Some theoretical properties of the R/S estimator have been examined by Mandelbrot (1975) and Mandelbrot and Taqqu ...type ... See full document

17

Some aspects of statistical inference in the linear regression model

Some aspects of statistical inference in the linear regression model

... Kariya showed that for a particular subclass of elliptically symmetric disturbance distributions, the Durbin-Watson test is an approximately uniformly most powerful [r] ... See full document

248

Effect of Multicolinearity and Autocorrelation on Predictive Ability of Some Estimators of Linear Regression Model

Effect of Multicolinearity and Autocorrelation on Predictive Ability of Some Estimators of Linear Regression Model

... From these figures, results reveal the pattern of performances of COR and ML at each level of multicollinearity over the levels of autocorrelation to be generally and evidently convex especially when 30 n  and   0 ... See full document

12

Show all 10000 documents...