Global ETD Search

31	Line intensities and half widths of the H₂O v₂ band near 2000cm⁻¹ obtained by using a least squares fit method / Chang, Yoon Samuel January 1976 (has links) No description available. Physics Least squares
32	Equality of minimum variance unbiased estimator under two different models Toh, Keng Choo. January 1975 (has links) No description available. Estimation theory. Least squares.
33	Evolution of variation in plumage and ornamentation in least auklets Aethia pusilla (Pallas) / Renner, Martin. January 2005 (has links) Thesis (Ph.D.)--Memorial University of Newfoundland, 2005. / Includes bibliographical references.
34	Conservation of least terns and piping plovers along the Missouri River and its major western tributaries in South Dakota Schwalbach, Monica J. January 1988 (has links) (PDF) Thesis (M.S.)--South Dakota State University, 1988. / Includes bibliographical references (leaves 77-82).
35	Diurnal time-activity budgets of nesting least terns and black skimmers / Leslie, Melissa L. January 2005 (has links) (PDF) Thesis (M.S.)--University of North Carolina at Wilmington, 2005. / Includes bibliographical references (leaves: [30]-33)
36	Total least squares and constrained least squares applied to frequency domain system identification Young, William Ronald January 1993 (has links) No description available. total least squares constrained least squares frequency domain system identification
37	A comparison of algorithms for least squares estimates of parameters in the linear model Ahn, Chul H January 2010 (has links) Typescript (photocopy). / Digitized by Kansas Correctional Industries Algorithms Least squares Matrix inversion
38	Curvelet-domain least-squares migration with sparseness constraints. Herrmann, Felix J., Moghaddam, Peyman P. January 2004 (has links) A non-linear edge-preserving solution to the least-squares migration problem with sparseness constraints is introduced. The applied formalism explores Curvelets as basis functions that, by virtue of their sparseness and locality, not only allow for a reduction of the dimensionality of the imaging problem but which also naturally lead to a non-linear solution with significantly improved signalto-noise ratio. Additional conditions on the image are imposed by solving a constrained optimization problem on the estimated Curvelet coefficients initialized by thresholding. This optimization is designed to also restore the amplitudes by (approximately) inverting the normal operator, which is like-wise the (de)-migration operators, almost diagonalized by the Curvelet transform. curvelet least squares migration sparseness
39	Minimum bias estimation of the slope of a response surface Matteson, Richard James 08 1900 (has links) No description available. Response surfaces (Statistics) Least squares
40	Best least squares solution of two-point boundary value problems Gentile, Giorlando Enrico. January 1975 (has links) No description available. Boundary value problems. Least squares.

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