Global ETD Search

11	Equality of minimum variance unbiased estimator under two different models Toh, Keng Choo. January 1975 (has links) No description available. Least squares. Estimation theory.
12	The consistency of differential and integral thermonuclear neutronics data Reupke, William Albert 12 1900 (has links) No description available. Nuclear reactors Least squares
13	Least squares arma modeling of linear time-varying systems : lattice filter structures and fast RLS algorithms Karlsson, Erlendur 08 1900 (has links) No description available. Least squares Lattice theory
14	Numerical methods for box-constrained integer least squares problems Yang, Xiaohua, January 1900 (has links) Thesis (Ph.D.). / Written for the School of Computer Science. Title from title page of PDF (viewed 2008/03/12). Includes bibliographical references. Equations, Simultaneous Least squares.
15	Surface fitting by minimizing the root mean squares error and application of clamped cubic spline / Gagne, Ann-Marie F., January 2006 (has links) Thesis (M.A.) -- Central Connecticut State University, 2006. / Thesis advisor: Yuanquian Chen. "... in partial fulfillment of the requirements for the degree of Master of Art in Mathematics." Includes bibliographical references (leaf 43). Also available via the World Wide Web. Least squares. Spline theory.
16	Fitting spline functions by the method of least squares Smith, John Terry January 1967 (has links) A spline function of degree k with knots S₀, S₁,...,Sr is a C[superscript]k-1 function which is a polynomial of degree at most k in each of the intervals (-∞, S₀), (S₀, S₁),…, (Sr,+∞). The Gauss-Markoff Theorem can be used to estimate by least squares the coefficients of a spline function of given degree and knots. Estimating a spline function of known knots without full knowledge of the degree entails an extension of the Gauss-Markoff technique. The estimation of the degree when the knots are also unknown has a possible solution in a method employing finite differences. The technique of minimizing sums of squared residuals forms the basis for a method of estimating the knots of a spline function of given degree. Estimates for the knots may also be obtained by a method of successive approximation, provided additional information about the spline function is known. / Science, Faculty of / Mathematics, Department of / Graduate Least squares Knot theory
17	Some numerical computations in linear estimation Bhattacharya, Binay K. January 1978 (has links) No description available. Least squares. Estimation theory.
18	The effect of autocorrelated errors on various least square estimators / Hong, Dun-Mow,1938- January 1971 (has links) No description available. Economics Least squares Correlation
19	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
20	Equality of minimum variance unbiased estimator under two different models Toh, Keng Choo. January 1975 (has links) No description available. Estimation theory. Least squares.

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