Results 231 to 240 of about 12,224 (267)
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Recursive least-squares sequence estimation
IBM Journal of Research and Development, 1994A family of adaptive communication receivers based on recursive least-squares sequence estimation (RLSSE) algorithms is proposed which provides performance comparable to that of conventional linear receivers, but with reduced complexity and less sensitivity to channel mismatch.
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2018
In Chap. 1 we learned how to solve a system of linear equations. All of the systems were square (i.e., the number of equations equaled the number of unknowns) and each system had an exact solution. Systems like these do not characterize most statistical analyses.
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In Chap. 1 we learned how to solve a system of linear equations. All of the systems were square (i.e., the number of equations equaled the number of unknowns) and each system had an exact solution. Systems like these do not characterize most statistical analyses.
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Least Squares Estimates and Optimal Classification
Psychometrika, 1955A simple algebraic development is given showing that criterion estimates derived by usual multiple regression procedures are optimal for personnel classification. It is also shown that, for any assignment of men to jobs, the sum of the multiple regression criterion estimates will equal the sum of the actual criterion scores.
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Consistent directions for least‐squares estimates
Canadian Journal of Statistics, 1987AbstractThe least‐squares estimate θn = Xn+yn of the parameter θ in the linear model Yn = Xnθ + ϵn may not be consistent, but there may be directions u such that u'θn tends to u'θ in some sense. This set of directions u has been characterized in two different papers: Drygas (1976) and Wu (1980).
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Robustness of the least squares range estimator
2016 Australian Communications Theory Workshop (AusCTW), 2016We consider the problem of distance, or range, estimation by measuring the phase of a sinusoidal signal transmitted between two locations. The distance can only be unambiguously measured if it is contained in an interval of length less than the wavelength of the signal.
Assad Akhlaq +2 more
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Multistate least-squares parameter estimators
IEEE Transactions on Automatic Control, 1975Multistage least-squares parameter estimation algorithms which are either recursive in the dimension of an assumed linear model, or both recursive in the model dimension and sequential in time are obtained. Different aspects of the following problems are considered.
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The robust generalized least-squares estimator
Signal Processing, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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The Existence of Moments of the Ordinary Least Squares and Two-Stage Least Squares Estimators
Econometrica, 1972This paper deals with two single-equation estimators in a set of simultaneous linear stochastic equations--namely, ordinary least squares (OLS) and two-stage least squares (2SLS). Under the assumption that all predetermined variables in the model are exogenous, necessary and sufficient conditions are obtained for the existence of even moments of the ...
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