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標(biāo)題: Titlebook: Bilinear Regression Analysis; An Introduction Dietrich von Rosen Book 2018 Springer International Publishing AG, part of Springer Nature 20 [打印本頁]

作者: 相似    時(shí)間: 2025-3-21 16:59
書目名稱Bilinear Regression Analysis影響因子(影響力)




書目名稱Bilinear Regression Analysis影響因子(影響力)學(xué)科排名




書目名稱Bilinear Regression Analysis網(wǎng)絡(luò)公開度




書目名稱Bilinear Regression Analysis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Bilinear Regression Analysis被引頻次




書目名稱Bilinear Regression Analysis被引頻次學(xué)科排名




書目名稱Bilinear Regression Analysis年度引用




書目名稱Bilinear Regression Analysis年度引用學(xué)科排名




書目名稱Bilinear Regression Analysis讀者反饋




書目名稱Bilinear Regression Analysis讀者反饋學(xué)科排名





作者: NAIVE    時(shí)間: 2025-3-21 23:41
The Basic Ideas of Obtaining MLEs: Unknown Dispersion,sitions of the tensor space where within-individuals spaces also have an inner product which has to be estimated. All obtained estimators have explicit forms. A short literature review of bilinear regression models is given.
作者: 咽下    時(shí)間: 2025-3-22 02:03
Basic Properties of Estimators,rived for all estimators as well as the covariance among the estimators from the same model. Calculations use knowledge about the matrix normal, Wishart and inverted Wishart distributions. It is shown that the estimators are asymptotically equivalent to normally distributed random variables.
作者: MURKY    時(shí)間: 2025-3-22 07:02
Density Approximations,on model the approximating density also appears to be a density. It can be shown that under some conditions the density represents a mixture of a normal distribution and a matrix Kotz-distribution. Similar results are shown to be available for the extended bilinear regression models.
作者: 諷刺    時(shí)間: 2025-3-22 09:49

作者: impale    時(shí)間: 2025-3-22 13:53

作者: 陳腐的人    時(shí)間: 2025-3-22 18:37

作者: 饒舌的人    時(shí)間: 2025-3-22 21:34

作者: ENNUI    時(shí)間: 2025-3-23 04:35

作者: 滲透    時(shí)間: 2025-3-23 08:59

作者: 排出    時(shí)間: 2025-3-23 10:54

作者: Curmudgeon    時(shí)間: 2025-3-23 16:28

作者: Myofibrils    時(shí)間: 2025-3-23 20:39
https://doi.org/10.1007/978-981-13-3699-7 approach is extended to cover tensor space decompositions which is a basic tool when considering bilinear regression models. The decompositions are illustrated in figures where one can follow how maximum likelihood estimators are obtained by projecting on appropriate subspaces.
作者: NICE    時(shí)間: 2025-3-23 23:05

作者: 污點(diǎn)    時(shí)間: 2025-3-24 04:35
Energy Security and Territorial Disputesrived for all estimators as well as the covariance among the estimators from the same model. Calculations use knowledge about the matrix normal, Wishart and inverted Wishart distributions. It is shown that the estimators are asymptotically equivalent to normally distributed random variables.
作者: 表示向前    時(shí)間: 2025-3-24 07:46
Energy Security and Territorial Disputeson model the approximating density also appears to be a density. It can be shown that under some conditions the density represents a mixture of a normal distribution and a matrix Kotz-distribution. Similar results are shown to be available for the extended bilinear regression models.
作者: entreat    時(shí)間: 2025-3-24 13:13

作者: 比賽用背帶    時(shí)間: 2025-3-24 18:22

作者: degradation    時(shí)間: 2025-3-24 21:53
The Basic Ideas of Obtaining MLEs: Unknown Dispersion,sitions of the tensor space where within-individuals spaces also have an inner product which has to be estimated. All obtained estimators have explicit forms. A short literature review of bilinear regression models is given.
作者: tinnitus    時(shí)間: 2025-3-25 01:19
Basic Properties of Estimators,rived for all estimators as well as the covariance among the estimators from the same model. Calculations use knowledge about the matrix normal, Wishart and inverted Wishart distributions. It is shown that the estimators are asymptotically equivalent to normally distributed random variables.
作者: SNEER    時(shí)間: 2025-3-25 06:58

作者: cataract    時(shí)間: 2025-3-25 07:43

作者: 1FAWN    時(shí)間: 2025-3-25 12:44
https://doi.org/10.1007/978-981-13-3699-7 approach is extended to cover tensor space decompositions which is a basic tool when considering bilinear regression models. The decompositions are illustrated in figures where one can follow how maximum likelihood estimators are obtained by projecting on appropriate subspaces.
作者: 易改變    時(shí)間: 2025-3-25 19:23
Issues Decisive for China’s Rise or Fallsitions of the tensor space where within-individuals spaces also have an inner product which has to be estimated. All obtained estimators have explicit forms. A short literature review of bilinear regression models is given.
作者: Mindfulness    時(shí)間: 2025-3-25 22:09
Energy Security and Territorial Disputesrived for all estimators as well as the covariance among the estimators from the same model. Calculations use knowledge about the matrix normal, Wishart and inverted Wishart distributions. It is shown that the estimators are asymptotically equivalent to normally distributed random variables.
作者: TERRA    時(shí)間: 2025-3-26 00:27

作者: Scintigraphy    時(shí)間: 2025-3-26 05:09
https://doi.org/10.1007/978-981-13-3699-7gression models several natural residuals appear. The residuals are obtained by applying space decompositions of the tensor product of the between-individual and within-individual spaces. Density approximations are performed for the residuals. To obtain the distribution of the large residuals a para
作者: 適宜    時(shí)間: 2025-3-26 11:28

作者: Angioplasty    時(shí)間: 2025-3-26 14:26

作者: 放氣    時(shí)間: 2025-3-26 20:31
https://doi.org/10.1007/978-981-13-3699-7A short introduction to bilinear regression analysis is presented. The statistical paradigm is introduced. Moreover, bilinear regression models are presented together with a number of examples. Some historical remarks on the material of the book are given.
作者: Discrete    時(shí)間: 2025-3-26 22:09
Introduction,A short introduction to bilinear regression analysis is presented. The statistical paradigm is introduced. Moreover, bilinear regression models are presented together with a number of examples. Some historical remarks on the material of the book are given.
作者: 培養(yǎng)    時(shí)間: 2025-3-27 04:34

作者: 平    時(shí)間: 2025-3-27 05:58

作者: Sciatica    時(shí)間: 2025-3-27 13:16
https://doi.org/10.1007/978-981-13-3699-7ividual and within-individual spaces. Density approximations are performed for the residuals. To obtain the distribution of the large residuals a parametric Bootstrap approach is applied to mean shift evaluations.
作者: 怒目而視    時(shí)間: 2025-3-27 16:44

作者: 背叛者    時(shí)間: 2025-3-27 21:16

作者: visceral-fat    時(shí)間: 2025-3-27 21:57
Influential Observations,ons also explicit statistics are available which are all functions of the perturbation parameter. To evaluate the perturbations Taylor expansions with respect to the perturbation parameter are performed.
作者: Frenetic    時(shí)間: 2025-3-28 02:51

作者: Tartar    時(shí)間: 2025-3-28 07:34

作者: 有雜色    時(shí)間: 2025-3-28 11:53





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