Item Details
Distribution of Error in LeastSquares Solution of an Overdetermined System of Linear Simultaneous Equations
by C. David Miller
 Format
 Book; Government Document; Online; EBook
 Published
 Washington, D.C. : National Aeronautics and Space Administration ; [Springfield, Va. : For sale by the National Technical Information Service], 1972.
 Language
 English
 Series
 NASA Technical Note
 Summary
 Probability density functions were derived for errors in the evaluation of unknowns by the least squares method in system of nonhomogeneous linear equations. Coefficients of the unknowns were assumed correct and computational precision were also assumed. A vector space was used, with number of dimensions equal to the number of equations. An error vector was defined and assumed to have uniform distribution of orientation throughout the vector space. The density functions are shown to be insensitive to the biasing effects of the source of the system of equations.
 Description
 46 p. : ill. ; 27 cm.
 Mode of access: Internet.
 Notes
 Prepared at Aerospace Safety Research and Data Institute.
 Cover title.
 Bibliography: p. 46.
 Series Statement
 NASA technical note ; NASA TN D6744
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 Copyright Not Evaluated
 Technical Details

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LEADER 02223nam a2200433Ia 4500001 011446183003 MiAaHDL005 20141009010000.0006 m d007 cr bn auaua008 101111s1972 dcua b f000 0 eng da sdruiuc6405125a (OCoLC)680492689a UIU c UIUa UIUUa Miller, C. David.a Distribution of error in leastsquares solution of an overdetermined system of linear simultaneous equations c by C. David Miller.a Washington, D.C. : b National Aeronautics and Space Administration ; a [Springfield, Va. : b For sale by the National Technical Information Service], c 1972.a 46 p. : b ill. ; c 27 cm.a NASA technical note ; v NASA TN D6744a Prepared at Aerospace Safety Research and Data Institute.a Cover title.a Bibliography: p. 46.a Probability density functions were derived for errors in the evaluation of unknowns by the least squares method in system of nonhomogeneous linear equations. Coefficients of the unknowns were assumed correct and computational precision were also assumed. A vector space was used, with number of dimensions equal to the number of equations. An error vector was defined and assumed to have uniform distribution of orientation throughout the vector space. The density functions are shown to be insensitive to the biasing effects of the source of the system of equations.a Mode of access: Internet.a Probabilities.a Least squares.a Equations, Simultaneous.a Error analysis (Mathematics)a Aerospace Safety Research and Data Institute.a United States. b National Aeronautics and Space Administration.b UIU c UIUC d 20141113 s google u uiug.30112106884338 y 1972 r pd q bib
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