Obloquy
发表于 2025-3-23 12:11:02
Book 2022Latest editionf linear and weakly nonlinear regression models within the first 8 chapters. Our point of view is both an algebraic view and 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 (
轻弹
发表于 2025-3-23 15:11:23
2364-9119integer least squares, Bayes, and error-in-variable topics.This book provides numerous examples of linear and nonlinear model applications. Here, we present a nearly complete treatment of the Grand Universe of linear and weakly nonlinear regression models within the first 8 chapters. Our point of v
incisive
发表于 2025-3-23 21:43:39
http://reply.papertrans.cn/16/1595/159484/159484_13.png
TRUST
发表于 2025-3-24 01:42:48
Arithmetische Theorie der Formens. The transformation from the circular normal distribution to an oblique normal distribution is studied. As a case study 3D angular observations with two different theodolites are analysed. Finally the von Mises–Fisher distribution for dimension 1, 2, 3 and 4 is discussed.
打火石
发表于 2025-3-24 02:34:20
Arithmetische Theorie Algebraischer Grössen(hom .–BlIP) and (c) homogeneous α–weighted linear predictor (hom α–VIP). The A-optimal design is discussed. Three examples are presented related to: (i) nonlinear scalar error propagation, (ii) nonlinear vector–valued error propagation, and (iii), two-dimensional distance network.
拾落穗
发表于 2025-3-24 09:00:42
Die Prinzipien der Rationellen Mechanikel, mixed model and linear multivariate model under normal error distribution. Furthermore these same models are reconsidered, when the errors may follow a non-normal distribution and computer intensive methods are applicable. The MCMC method, Gibbs sampler and ABC are introduced and explained.
没有贫穷
发表于 2025-3-24 13:27:39
The Third Problem of Algebraic Regression,raic partitioning (rank partitioning), (ii) geometric (slicing of the observation space) and (iii) set theoretical (fibering). The Total Least Squares and the celebrated Tykhonov-Phillips regularization, also called “Ridge Estimation” or “α–HAPS” (Hybrid Approximative Solution) are presented.
Little
发表于 2025-3-24 18:34:50
http://reply.papertrans.cn/16/1595/159484/159484_18.png
Narcissist
发表于 2025-3-24 19:13:12
The Fourth Problem of Probabilistic Regression,(hom .–BlIP) and (c) homogeneous α–weighted linear predictor (hom α–VIP). The A-optimal design is discussed. Three examples are presented related to: (i) nonlinear scalar error propagation, (ii) nonlinear vector–valued error propagation, and (iii), two-dimensional distance network.
污点
发表于 2025-3-25 01:35:33
http://reply.papertrans.cn/16/1595/159484/159484_20.png