標(biāo)題: Titlebook: Applications of Linear and Nonlinear Models; Fixed Effects, Rando Erik W. Grafarend,Silvelyn Zwanzig,Joseph L. Awang Book 2022Latest editio [打印本頁] 作者: CYNIC 時間: 2025-3-21 19:48
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
作者: Digitalis 時間: 2025-3-21 22:37
Gravitation und Relativit?tstheorieing a sattelite orbit, and (b), statistical control. The stochastic processes ARMA and ARIMA are defined. The state differential equation as well as the observational equation are solved by a Laplace transformation.作者: 方便 時間: 2025-3-22 00:25
Thermodynamik der Himmelsk?rperlems: (a) transforming in a closed form geocentric coordinates to Gauss ellipsoidal coordinates (geodetic) through Minimum Distance Mapping (MDM), (b) solution of GNSS pseudorange equations (using the GPS satellite vehicle as example), and (c), to obtain the seven datum transformation parameters from two sets of coordinates.作者: arterioles 時間: 2025-3-22 05:30 作者: 小隔間 時間: 2025-3-22 09:44 作者: HERTZ 時間: 2025-3-22 14:25 作者: indoctrinate 時間: 2025-3-22 18:55
Special Problems of Algebraic Regression and Stochastic Estimation,ing a sattelite orbit, and (b), statistical control. The stochastic processes ARMA and ARIMA are defined. The state differential equation as well as the observational equation are solved by a Laplace transformation.作者: Somber 時間: 2025-3-23 00:15
Systems of Equations: Hybrid Algebraic-Numeric Solutions,lems: (a) transforming in a closed form geocentric coordinates to Gauss ellipsoidal coordinates (geodetic) through Minimum Distance Mapping (MDM), (b) solution of GNSS pseudorange equations (using the GPS satellite vehicle as example), and (c), to obtain the seven datum transformation parameters from two sets of coordinates.作者: 地殼 時間: 2025-3-23 03:55
https://doi.org/10.1007/978-3-663-16020-5 two epochs. Further a list of comments are included about linear and nonlinear prediction of type Kolmogorov–Wiener. Further an extensive list of geodetic examples is given. The concept of Krige prediction is described.作者: Eviction 時間: 2025-3-23 08:29
The Fifth Problem of Probabilistic Regression, two epochs. Further a list of comments are included about linear and nonlinear prediction of type Kolmogorov–Wiener. Further an extensive list of geodetic examples is given. The concept of Krige prediction is described.作者: Obloquy 時間: 2025-3-23 12:11
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 (作者: 輕彈 時間: 2025-3-23 15:11
2364-9119 integer 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作者: incisive 時間: 2025-3-23 21:43 作者: TRUST 時間: 2025-3-24 01:42
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.作者: 打火石 時間: 2025-3-24 02:34
Arithmetische Theorie Algebraischer Gr?ssen(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.作者: 拾落穗 時間: 2025-3-24 09:00
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.作者: 沒有貧窮 時間: 2025-3-24 13:27
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.作者: Little 時間: 2025-3-24 18:34 作者: Narcissist 時間: 2025-3-24 19:13
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.作者: 污點 時間: 2025-3-25 01:35 作者: Militia 時間: 2025-3-25 03:54 作者: 煩憂 時間: 2025-3-25 09:50 作者: 抵制 時間: 2025-3-25 15:37 作者: 傷心 時間: 2025-3-25 16:31
The Third Problem of Probabilistic Regression,s Estimator (BLUMBE). The estimation of the variance by Best Invariant Quadratic Uniformly Unbiased Estimation (BIQUUE) is compared with the Best Invariant Quadratic Estimation (BIQE). The approach of Best Linear Estimation (hom BLE) for fixed effects is introduced. A key example is the treatment of作者: 壓倒 時間: 2025-3-25 23:36 作者: 喃喃而言 時間: 2025-3-26 01:04
The Fourth Problem of Probabilistic Regression,offered as (a) homogeneous best linear minimum mean square predictor (hom BLIP), (b) homogeneous .—weighted best linear minimum mean square predictor (hom .–BlIP) and (c) homogeneous α–weighted linear predictor (hom α–VIP). The A-optimal design is discussed. Three examples are presented related to: 作者: ascend 時間: 2025-3-26 05:51
The Fifth Problem of Probabilistic Regression,v–Wiener Prediction in its general form. The best linear uniformly unbiased estimator (BLUUE) is derived. An explicit representation of the error budget in the general Gauss–Markov model with mixed effects is constructed under the restriction that the covariances and the correlations are known up to作者: Phenothiazines 時間: 2025-3-26 08:57 作者: 新鮮 時間: 2025-3-26 16:23
Special Problems of Algebraic Regression and Stochastic Estimation, with constraints is introduced and the complete solution is given. The n-way classification model with interaction is considered and the MINOLESS solution is given. Finally dynamic system equations are treated and the Kalman Filter (Kalman–Bucy Filter) is reviewed. Two examples are given: (a) track作者: ADAGE 時間: 2025-3-26 17:35
Systems of Equations: Hybrid Algebraic-Numeric Solutions,aic and numerical methods used to derive exact solutions is given. The algebraic algorithms needed to solve the nonlinear system of equations are presented, and enriched with examples to help the reader understand them. The algorithms are finally applied successfully to three real–time geodetic prob作者: Pastry 時間: 2025-3-27 00:22 作者: 膝蓋 時間: 2025-3-27 01:49 作者: commensurate 時間: 2025-3-27 07:28
Arithmetische Theorie Algebraischer Gr?ssens Estimator (BLUMBE). The estimation of the variance by Best Invariant Quadratic Uniformly Unbiased Estimation (BIQUUE) is compared with the Best Invariant Quadratic Estimation (BIQE). The approach of Best Linear Estimation (hom BLE) for fixed effects is introduced. A key example is the treatment of continuous networks.作者: Gullible 時間: 2025-3-27 10:09
https://doi.org/10.1007/978-3-663-16020-5 the multivariate linear EIV model is derived. As modern computer intensive statistical methods the SIMEX and its symmetrized generalization SYMEX are presented. Finally problems of nonlinear errors-in-variables models are considered.作者: CRAB 時間: 2025-3-27 16:38 作者: Type-1-Diabetes 時間: 2025-3-27 17:59
Arithmetische Theorie der Formenem is presented. The key role of the following postulates is discussed: (i) symmetry, (ii) invariance (iii) uniform unbiasedness and (iv) minimum variance. The general linear model with linear dispersion structure is reviewed with respect to (i) unbiasedness, (ii) invariance and (iii) nonnegativenes作者: Epidural-Space 時間: 2025-3-27 23:09
Arithmetische Theorie der Formend by means of an optimization problem. The main notions are reviewed as minimum norm least squares solution (MINOLESS) based on the trinity: (i) algebraic partitioning (rank partitioning), (ii) geometric (slicing of the observation space) and (iii) set theoretical (fibering). The Total Least Squares作者: 不易燃 時間: 2025-3-28 05:52
Arithmetische Theorie Algebraischer Gr?ssens Estimator (BLUMBE). The estimation of the variance by Best Invariant Quadratic Uniformly Unbiased Estimation (BIQUUE) is compared with the Best Invariant Quadratic Estimation (BIQE). The approach of Best Linear Estimation (hom BLE) for fixed effects is introduced. A key example is the treatment of作者: 收養(yǎng) 時間: 2025-3-28 08:53 作者: 抵制 時間: 2025-3-28 14:28 作者: 煩擾 時間: 2025-3-28 15:44 作者: 返老還童 時間: 2025-3-28 20:51
https://doi.org/10.1007/978-3-663-16020-5 the multivariate linear EIV model is derived. As modern computer intensive statistical methods the SIMEX and its symmetrized generalization SYMEX are presented. Finally problems of nonlinear errors-in-variables models are considered.作者: TIGER 時間: 2025-3-29 00:21
Gravitation und Relativit?tstheorie with constraints is introduced and the complete solution is given. The n-way classification model with interaction is considered and the MINOLESS solution is given. Finally dynamic system equations are treated and the Kalman Filter (Kalman–Bucy Filter) is reviewed. Two examples are given: (a) track作者: 欄桿 時間: 2025-3-29 06:50 作者: Commission 時間: 2025-3-29 09:59 作者: Postmenopause 時間: 2025-3-29 12:41
The Third Problem of Probabilistic Regression,s Estimator (BLUMBE). The estimation of the variance by Best Invariant Quadratic Uniformly Unbiased Estimation (BIQUUE) is compared with the Best Invariant Quadratic Estimation (BIQE). The approach of Best Linear Estimation (hom BLE) for fixed effects is introduced. A key example is the treatment of continuous networks.作者: frivolous 時間: 2025-3-29 19:25
The Sixth Problem of Probabilistic Regression, the multivariate linear EIV model is derived. As modern computer intensive statistical methods the SIMEX and its symmetrized generalization SYMEX are presented. Finally problems of nonlinear errors-in-variables models are considered.作者: BILIO 時間: 2025-3-29 20:25
https://doi.org/10.1007/978-3-663-16022-9The optimisation problem which appears in treating underdetermined linear system equations and weakly nonlinear system equations is a standard topic in many textbooks on optimisation.作者: 灰心喪氣 時間: 2025-3-30 00:43 作者: Culpable 時間: 2025-3-30 06:00 作者: misanthrope 時間: 2025-3-30 09:41
K. Schwarzschild,S. Oppenheim,W. DyckThe three-dimensional datum transformation is solved by the Procustes Algorithm. A case study taken from “World Geodetic System 84” (WGS 84) is included.作者: ODIUM 時間: 2025-3-30 13:58
https://doi.org/10.1007/978-3-663-16034-2Variance–covariance component estimation of Helmert–type is presented in the Gauss–Helmert model. The basis result is the construction of a local Helmert–type inhomogeneous, invariant, quadratic and unbiased estimator of variance–covariance components.作者: scotoma 時間: 2025-3-30 18:31 作者: laceration 時間: 2025-3-30 22:56
The First Problem of Algebraic Regression,The optimisation problem which appears in treating underdetermined linear system equations and weakly nonlinear system equations is a standard topic in many textbooks on optimisation.作者: myalgia 時間: 2025-3-31 02:23 作者: TERRA 時間: 2025-3-31 06:55
The Fifth Problem of Algebraic Regression: The System of Conditional Equations: Homogeneous and InhTwo systems of poor inconsistent conditional equations are treated, namely homogeneous and inhomogeneous inconsistent equations. The least squares solution with respect to the .-norm is derived in the homogeneous case and the corresponding least squares solution with respect to the .-seminorm in the inhomogeneous case.作者: 使腐爛 時間: 2025-3-31 10:19 作者: seruting 時間: 2025-3-31 17:03
The Sixth Problem of Generalized Algebraic Regression,Variance–covariance component estimation of Helmert–type is presented in the Gauss–Helmert model. The basis result is the construction of a local Helmert–type inhomogeneous, invariant, quadratic and unbiased estimator of variance–covariance components.作者: 滋養(yǎng) 時間: 2025-3-31 20:53
Integer Least Squares,In this chapter the general mixed integer linear model is introduced and its background in application for the Global Navigation Satellite Systems (GNSS) is described. The fitting of such models is reduced to the integer least squares problem. The principles of solving integer least squares problem are explained and the LLL algorithm is presented.作者: Anal-Canal 時間: 2025-3-31 22:24
