# Least Squares Estimator

### Consistency of the structured total least squares estimator in a multivariate errors in variables model

**least**

**squares**

**estimator**, deﬁned via a constrained optimization problem, is a generalization of the total

**least**

**squares**

**estimator**when the data matrix and the applied ...

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### The large deviation for the least squares estimator of nonlinear regression model based on WOD errors

**least**

**squares**

**estimator**in the nonlinear regression model are established, which extend the corresponding ones for independent errors and some dependent ...

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### Using wavelets to obtain a consistent ordinary least squares estimator of the long memory parameter

**least**

**squares**

**estimator**of the long-memory parameter from a fractionally integrated process that is an alternative to the Geweke and Porter-Hudak (1983) ...ordinary

**least**...

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### Asymptotic Properties of the Weighted Least Squares Estimator Under Moments Restriction

**Least**...

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### Two stage weighted least squares estimator of the conditional mean of observation driven time series models

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### Iterative Least Squares Estimator of Binary Choice Models: a Semi Parametric Approach

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### On the computation of the structured total least squares estimator

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### Empirical likelihood based inference in Poisson autoregressive model with conditional moment restrictions

**estimator**, the

**least**

**squares**

**estimator**and the weighted

**least**

**squares**

**estimator**, which do not utilize the conditional moment ...

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### Consistent estimation in an implicit quadratic measurement error model

**least**

**squares**

**estimator**is derived that yields a consistent estimate of the parameters of an implicit quadratic measurement error ...consistent

**estimator**for the measurement error ...

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### Minimization of Error in Exponential Model Estimation via Jackknife Algorithm

**least**

**squares**

**estimator**, they proposed a class of weighted jackknife variance estimators for the

**least**

**squares**

**estimator**by deleting any fixed number of observations at a ...

11

### On the Equivalence of the Weighted Least Squares and the Generalised Least Squares Estimators, with Applications to Kernel Smoothing

**least**

**squares**estima- tor of the regression parameters is equivalent to the weighted

**least**

**squares**

**estimator**. The ...

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### Restricted estimator in two seemingly unrelated regression model

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### Adaptive Estimation of Heteroscedastic Money Demand Model of Pakistan

**estimator**under substantially more restrictive conditions on the data generating process, Robinson (1987) estimated the residual variances of unknown function of the explanatory variables by nearest ...

7

### A simple approach to inference in random coefficient models

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### Strong consistency of estimators in partially linear models for longitudinal data with mixing dependent structure

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### Estimation of bivariate linear regression data via Jackknife algorithm

**least**

**squares**

**estimator**, they proposed a class of weighted jackknife variance estimators for the

**least**

**squares**

**estimator**by deleting any fixed number of observations at a ...

8

### A comparison of MLE method and OLSE for the estimation of modified Weibull distribution parameters by using the simulation

**Least**

**Squares**

**Estimator**(OLSE) methods for estimation of the unknown parameters of the modified Weibull distribution. A ...

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### Estimation for Constantinides-Ingersol Model with Small L´evy Noises from Discrete Observations

**least**

**squares**method is used to obtain the explicit formula of the

**estimator**and the estimation error is given as ...the

**least**

**squares**

**estimator**is proved by applying the ...

6

### A Combination Method for Averaging OLS and GLS Estimators

**estimator**that has inferior properties, and its use can be harmful (see Danilov and Magnus, ...ordinary

**least**-

**squares**(OLS)

**estimator**for linear regression models with homoscedastic ...

12

### The consistency for estimator of nonparametric regression model based on NOD errors

**least**

**squares**

**estimator**of b and the nonparametric

**estimator**of g(t) based on NA samples, Hu [12] obtained the consistency and complete consistency for these esti- mations based on the ...

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