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1 
Minsta quadratmetoden ...Hultman, Frans Wilhelm, January 1860 (has links)
Akademisk afhandlingUpsala.

2 
Minsta quadratmetoden ...Hultman, Frans Wilhelm, January 1860 (has links)
Akademisk afhandlingUpsala.

3 
On the performance of the modified least squares estimators in some accelerated life testing models using complete and type II censored samplesSoejoeti, Zanzawi. January 1977 (has links)
ThesisWisconsin. / Vita. Includes bibliographical references (leaves 180182).

4 
Bias in least squares regression.Williams, Douglas Harold January 1972 (has links)
Much of the data analysed by least squares regression methods violates the assumption that independent variables are known without error. Also, it has been demonstrated that parameter estimates based on minimum residual sums of squares have a high probability of being unsatisfactory if the independent variables are not orthogonal. Both situations are examined jointly by Monte Carlo simulation and bias in least squares estimate of regression coefficients and error sums of squares is demonstrated. Techniques for regression under these conditions are reviewed but the literature does not present a practical algorithm in either case. / Forestry, Faculty of / Graduate

5 
Multivariable inferential estimationNasir, Imtiaz Hussain January 2003 (has links)
No description available.

6 
A study of three algorithms for nonlinear least squares parameter estimationStilson, Mickey Linn January 2010 (has links)
Digitized by Kansas Correctional Industries

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Alternative LeastSquares Finite Element Models of NavierStokes Equations for PowerLaw FluidsVallala, Venkat 16 January 2010 (has links)
The NavierStokes equations can be expressed in terms of the primary variables
(e.g., velocities and pressure), secondary variables (velocity gradients, vorticity, stream
function, stresses, etc.), or a combination of the two. The LeastSquares formulations of
the original partial differential equations (PDE's) in terms of primary variables require
C1 continuity of the finite element spaces across interelement boundaries. This higherorder
continuity requirement for PDE's in primary variables is a setback to LeastSquares
formulation when compared to the weak form Galerkin formulation. To overcome this
requirement, the PDE or PDE's are first transformed into an equivalent lower order
system by introducing additional independent variables, sometimes termed auxiliary
variables, and then formulating the LeastSquares model based on the equivalent lower
order system. These additional variables can be selected to represent physically
meaningful variables, e.g., fluxes, stresses or rotations, and can be directly approximated
in the model. Using these auxiliary variables, different alternative LeastSquares finite
element models are developed and investigated.
In this research, the vorticity and stress based alternative LeastSquares finite
element formulations of NavierStokes equations are developed and are verified with the benchmark problems. The LeastSquares formulations are developed for both the
Newtonian and nonNewtonian fluids (based on the PowerLaw model) and the effects of
linearization before and after minimization are investigated using the benchmark
problems. For the nonNewtonian fluids both the shear thinning and shear thickening
fluids have been studied by varying the PowerLaw index from 0.25 to 1.5. Also, the
traditional weak form based penalty method is formulated for the nonNewtonian case
and the results are compared with the LeastSquares formulation.
The results matched with the benchmark problems for Newtonian and non
Newtonian fluids, irrespective of the formulation. There was no effect of linerization in
the case of Newtonian fluids. However for nonNewtonian fluids, there was some
tangible effect of linearization on the accuracy of the solution. The effect was more
pronounced for lower powerlaw indices compared to higher powerlaw indices. And
there seemed to have some kind of locking that caused the matrices to be illconditioned
especially for lower values of powerlaw indices.

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Least squares and adaptive multirate filtering /Hawes, Anthony H. January 2003 (has links) (PDF)
Thesis (M.S. in Electrical Engineering)Naval Postgraduate School, September 2003. / Thesis advisor(s): Charles W. Therrien, Roberto Cristi. Includes bibliographical references (p. 45). Also available online.

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Some numerical computations in linear estimationBhattacharya, Binay K. January 1978 (has links)
No description available.

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An empirical investigation of nonlinear least squares estimation with correlated errorsAdelaar, Glenn A. 08 1900 (has links)
No description available.

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