# Least Squares Estimation

### Least squares estimation of probability measures in the Prohorov metric framework

**least**

**squares**...likelihood

**estimation**(also in a frequentist framework) can be established with little difficulty from the results presented ...the

**estimation**of the unknown ...

31

### Asymptotic properties of least squares estimation for a new fuzzy autoregressive model

**Least**

**squares**

**estimation**is derived, and the asymptotic distribution of the proposed estimator is ...This

**estimation**procedure is well deﬁned because if we use crisp data instead of ...

10

### Empirical distributions in least squares estimation for distributed parameter systems

**least**

**squares**

**estimation**problems. These processes can be used to answer many ...

22

### ORIGIN DESTINATION DISAGGREGATION USING FRATAR BIPROPORTIONAL LEAST SQUARES ESTIMATION FOR TRUCK FORECASTING

**least**-

**squares**

**estimation**to obtain row and column factors for splitting trip totals from and to larger geographical areas into smaller ...

22

### Asymptotic properties of weighted least squares estimation in weak parma models

44

### Nonlinear Least Squares Estimation of the Shifted Gompertz Distribution

**estimation**in the Bass model by nonlinear

**least**

**squares**fitting the adoption ...weighted

**least**

**squares**

**estimation**of a three-parameter Weibull density with a ...

10

### AIC under the framework of least squares estimation

**estimation**in the framework of a

**least**

**squares**

**estimation**problem ([10] and all the references ...the

**least**

**squares**...appropriate

**estimation**technique varies; ...

16

### Communication efficient distributed weighted non linear least squares estimation

**estimation**problems of type ...state

**estimation**in power sys- tems; therein, a phasorial representation of voltages and currents is usually utilized, wherein non-linearity in gen- eral emerges from ...

15

### Least squares estimation for GARCH (1,1) model with heavy tailed errors

41

### Generalized Least Squares Estimation for Cointegration Parameters Under Conditional Heteroskedasticity

22

### Least squares estimation of joint production functions by the Differential Evolution method of global optimization

**estimation**of joint production function through ...and

**estimation**of a general implicit production ...of

**estimation**of multiple/joint production functions as an exercise in ...

13

### Least squares estimation of hydraulic conductivity from field data

7

### Particle swarm optimization and least squares estimation of NARMAX

**estimation**step is performed using various types LLS

**estimation**algorithms because of the excellent characteristics where it is stable and efficient in terms of numerical computation ...

7

### Least squares estimation of a shift in linear processes

**estimation**. Thus if a high order is identified in practice, one should consider a ...

31

### Least squares estimation for the subcritical Heston model based on continuous time observations

22

### Ordinary Least Squares Estimation of a Dynamic Game Model

**estimation**problem for a class of dynamic games of incomplete information that generalizes the single agent discrete Markov decision models surveyed in Rust (1994); for a recent survey see Aguirregabiria and ...

33

### Estimation of groundwater flow parameters using least squares

**estimation**of the subsurface physical pa- rameters, particularly the hydraulic ...a

**least**

**squares**

**estimation**procedure for determining groundwater velocities from limited ...

15

### Derivative Estimation Based on Difference Sequence via Locally Weighted Least Squares Regression

25

### On the generalization of linear least mean squares estimation to quantum systems with non-commutative outputs

**estimation**of a linear quan- tum system variables given the non-commutative outputs within the framework of non- commutative probability ...a

**least**

**squares**error ...

25

### The Dual of the Least Squares Method

**least**-

**squares**me- thod (for linear systems) which results as a consequence of the analysis that the mean observational error will fall within certain given ...the

**least**-

**squares**...

7