Titlebook: Applications of Linear and Nonlinear Models; Fixed Effects, Rando Erik Grafarend,Joseph Awange Book 20121st edition Springer-Verlag Berlin

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書目名稱Applications of Linear and Nonlinear Models影響因子(影響力)




書目名稱Applications of Linear and Nonlinear Models影響因子(影響力)學(xué)科排名




書目名稱Applications of Linear and Nonlinear Models網(wǎng)絡(luò)公開度




書目名稱Applications of Linear and Nonlinear Models網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Applications of Linear and Nonlinear Models被引頻次




書目名稱Applications of Linear and Nonlinear Models被引頻次學(xué)科排名




書目名稱Applications of Linear and Nonlinear Models年度引用




書目名稱Applications of Linear and Nonlinear Models年度引用學(xué)科排名




書目名稱Applications of Linear and Nonlinear Models讀者反饋




書目名稱Applications of Linear and Nonlinear Models讀者反饋學(xué)科排名

Processes

The First Problem of Probabilistic Regression: The Bias Problem,geodetic application” (Statistical and Decision, Supplement Issue No. 2, pages 401–441, 105 references, Oldenbourg Verlag, München 1989), we collected 5 postulates for simultaneous determination of first and second central moments.

irradicable

Book 20121st editionoint of view is both an algebraic view as well as a stochastic one. For example, there is an equivalent lemma between a best, linear uniformly unbiased estimation (BLUUE) in a Gauss-Markov model and a least squares solution (LESS) in a system of linear equations. While BLUUE is a stochastic regressi

Cultivate

assent

The Second Problem of Probabilistic Regression,uadratic unbiased estimators: QUE (b), invariant quadratic unbiased estimators: IQUE, (c) locally best, quadratic unbiased estimators, (d) locally best, invariant quadratic unbiased estimators, (e) best QUE and best IQUE, (f) quadratic unbiased estimators of minimum norm: MINQUE. The geodetic examples are reproduced here.

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