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Series on mathematical geodesy and positioning - Adjustment theory
Adjustment theory Adjustment theory can be regarded as the part of the mathematical geodesy that deals with;
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Understanding Least Squares Estimation and Geomatics Data Analysis
-adjustment data analysis and reliability; the problems of datum; mathematical filtering and prediction; an introduction to least squares collocation;
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Physical Geodesy
gravity, a simplified approach to Molodensky's theory without integral equations, and a general combination of all geodetic data by least-squares;
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Notes upon least squares and geodesy
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The Theory of Errors and Method of Least Squares
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Supremum & Stability of Weighted Pseudoinverses & Weighted Least Squares Problems
of weighted pseudoinverses, weighted least squares problems and constrained weighted least squares problems, and stable methods for solving weighted;
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Sensitivity Analysis in Linear Regression
This volume treats linear regression diagnostics as a tool for the application of linear regression models to real-life data. The;
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Data Fitting and Uncertainty
logical and accessible fashion. The primary goal of the text is to explain how data fitting via least squares works. The reader will find that the;
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Geodesy in the Year 2000
for the application of geodetic data to the solution of problems in solid earth, oceanic and atmospheric sciences. The report Geodesy in the;
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Parameter Estimation For Scientists And Engineers
aspects of the subject for applied scientists and engineers. This group of users is often not aware of estimators other than least squares;
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Least Squares Data Fitting with Applications
can use the data predictively. The main concern of Least Squares Data Fitting with Applications is how to do this on a computer with;
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Simultaneous Equations Estimation
: instrumental variables, indirect least squares, generalized least squares, two-stage and three-stage least squares, and maximum likelihood. Many of the;
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Linear Least Squares Computations
information becomes available and how to test linear hypotheses.Linear Least Squares Computations features many structured exercises that guidethe;
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New Perspectives in Partial Least Squares and Related Methods
partial least squares methods meeting (PLS 2012). This was the 7th meeting in the series of PLS conferences and the first to take place in the USA;
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Partial Update Least-Square Adaptive Filtering
similar PU least-squares adaptive filter algorithms, such as PU RLS, PU CG, and PU EDS. In addition to the generic applications of system;
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Partial Update Least-Square Adaptive Filtering
similar PU least-squares adaptive filter algorithms, such as PU RLS, PU CG, and PU EDS. In addition to the generic applications of system;
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Adjustment Computations
, analyzed, measured, and corrected, with a focus on least squares adjustment the most rigorous methodology available. * Apply industry-standard;
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Inverse Problem Theory and Methods for Model Parameter Estimation
The use of actual observations to infer the properties of a model is an inverse problem, which are often difficult as they may not have a;
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A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
The third edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering;
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Rank-Based Methods for Shrinkage and Selection
learning to robustify the least squares methodology. It also includes: Development of rank theory and application of shrinkage and;
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Elementary Linear Algebra
, covering many important real-world applications, including graph theory, circuit theory, Markov chains, elementary coding theory, least-squares;
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Map of the World
in geodesy, land surveying, and geospatial science who need to understand the mathematics of describing the Earth and capturing her in maps and;
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Planetary Geodesy and Remote Sensing
on the application of new technologies and the observations in planetary geodesy. It is suitable for those working in the field as well as;
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Circular and Linear Regression
statistical properties. It next describes the theory of fitting circles by least squares, before focusing on practical geometric and algebraic circle;
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