標(biāo)題: Titlebook: Differential-Geometrical Methods in Statistics; Shun-ichi Amari Book 1985 Springer-Verlag Berlin Heidelberg 1985 Estimator.probability.pro [打印本頁] 作者: VEER 時間: 2025-3-21 19:46
書目名稱Differential-Geometrical Methods in Statistics影響因子(影響力)
書目名稱Differential-Geometrical Methods in Statistics影響因子(影響力)學(xué)科排名
書目名稱Differential-Geometrical Methods in Statistics網(wǎng)絡(luò)公開度
書目名稱Differential-Geometrical Methods in Statistics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Differential-Geometrical Methods in Statistics被引頻次
書目名稱Differential-Geometrical Methods in Statistics被引頻次學(xué)科排名
書目名稱Differential-Geometrical Methods in Statistics年度引用
書目名稱Differential-Geometrical Methods in Statistics年度引用學(xué)科排名
書目名稱Differential-Geometrical Methods in Statistics讀者反饋
書目名稱Differential-Geometrical Methods in Statistics讀者反饋學(xué)科排名
作者: obnoxious 時間: 2025-3-21 21:43
Curved Exponential Families and Edgeworth Expansions or distribution in S. In chapter, we decompose . into a pair (?, v) of statistics such that ? is asymptotically sufficient and v is asymptotically ancillary. The Edeworth expansion of the joint distribution p (?, v) is given explicitly up to the third order terms by using the related geometrical quantities in S and M.作者: Diatribe 時間: 2025-3-22 01:21 作者: 思想流動 時間: 2025-3-22 07:21 作者: 變形詞 時間: 2025-3-22 09:10
Restricted Geometric Relationshipsial geometry. The dualistic structure of the geometry is elucidated by using the α-flat manifold will turn out to be an interesting generalization of the Euclidean space, admitting the Pythagorean relation with respect to the α-divergence of two points.作者: elucidate 時間: 2025-3-22 16:20
Enhancing The Quality of Retrieval Methods or distribution in S. In chapter, we decompose . into a pair (?, v) of statistics such that ? is asymptotically sufficient and v is asymptotically ancillary. The Edeworth expansion of the joint distribution p (?, v) is given explicitly up to the third order terms by using the related geometrical quantities in S and M.作者: elucidate 時間: 2025-3-22 21:06
Eliminating Selves, Reducing Personsrms of the covariance of an efficient estimators are decomposed into the sum of three non-negative geometrical terms. This proves that the bias corrected maximum likelihood estimator is the best estimator from the point of view of the third order asymptotic evaluation. The effect of parametrization is elucidated from the geometrical viewpoint.作者: 他很靈活 時間: 2025-3-22 21:21 作者: 消息靈通 時間: 2025-3-23 01:31
https://doi.org/10.1007/978-3-031-13995-6ests, not depending on a specific model M. We also give the characteristics of the conditional test conditioned on the asymptotic ancillary. The third-order characteristics of interval estimators are also shown. For the sake of simplicity, we maily treat a one-dimensional model, and the multi-dimensional generalization is explained shortly.作者: 種屬關(guān)系 時間: 2025-3-23 05:50 作者: Deceit 時間: 2025-3-23 11:07
Reasons for Action — Second Parterest. We next study the amount of information loss caused by not knowing the true value of the nuisance parameter. It is related to the mixture curvature of the submanifold defined by the nuisance parameter.作者: 現(xiàn)任者 時間: 2025-3-23 17:26 作者: 蔓藤圖飾 時間: 2025-3-23 20:48
Information, Ancillarity and Conditional Inference statistics one should condition when there are a number of ancillaries. Finally, the sufficient vector statistic x is decomposed into component statistics of geometrical character according as the magnitude of the amount of information.作者: 傀儡 時間: 2025-3-24 01:53
Statistical Inference in the Presence of Nuisance Parameterserest. We next study the amount of information loss caused by not knowing the true value of the nuisance parameter. It is related to the mixture curvature of the submanifold defined by the nuisance parameter.作者: PANG 時間: 2025-3-24 03:36 作者: initiate 時間: 2025-3-24 10:29
0930-0325 ng the growing interest in differential geometry with respect to statistics. The book can only strongly be recommended to a geodesist since it offers many new insights into statistics on a familiar ground." #.Manuscripta Geodaetica.#2978-0-387-96056-2978-1-4612-5056-2Series ISSN 0930-0325 Series E-ISSN 2197-7186 作者: 摸索 時間: 2025-3-24 14:21
Introductionis a set of probability distributions to which we believe the true distribution belongs. It is a subset of all the possible probability distributions. In particular, a parametric model usually forms a finite-dimensional manifold imbedded in the set of all the possible probability distributions. In p作者: 忙碌 時間: 2025-3-24 18:21 作者: 蜈蚣 時間: 2025-3-24 20:52
α-Divergence and α-Projection in Statistical Manifoldgether with a Riemannian metric play a fundamental role in the present theory. Such a structure has not so far been noticed in literature of differential geometry. The dualistic structure of the geometry is elucidated by using the α-flat manifold will turn out to be an interesting generalization of 作者: expeditious 時間: 2025-3-24 23:46 作者: Morose 時間: 2025-3-25 04:58
Asymptotic Theory of Estimation associated with the estimator. Conditions for the consistency and efficiency of an estimator are given in geometrical terms of A. The higher-order terms of the covariance of an efficient estimators are decomposed into the sum of three non-negative geometrical terms. This proves that the bias correc作者: Occlusion 時間: 2025-3-25 07:37
Asymptotic Theory of Tests and Interval Estimatorseters. The power function of a test is determined by the geometrical features of the boundary of its critical region. It is proved that a first-order efficient test is automatically second-order efficient, but there is in general no third-order uniformly most powerful test. The third-order power los作者: 拉開這車床 時間: 2025-3-25 15:08 作者: 裁決 時間: 2025-3-25 17:31
Statistical Inference in the Presence of Nuisance Parametersarameter of interest while the nuisance parameters take any values, we have a submanifold in the model M depending on the fixed value. Statistical inference is carried out concerning the family of these submanifolds, so that their geometrical properties play an important role on evaluating inferenti作者: 裁決 時間: 2025-3-25 21:42 作者: 猛擊 時間: 2025-3-26 00:19
Lecture Notes in Statisticshttp://image.papertrans.cn/d/image/278845.jpg作者: hypotension 時間: 2025-3-26 05:12 作者: Engulf 時間: 2025-3-26 11:25 作者: blister 時間: 2025-3-26 15:09 作者: 過度 時間: 2025-3-26 16:56 作者: expound 時間: 2025-3-26 21:46
Eliminating Selves, Reducing Persons associated with the estimator. Conditions for the consistency and efficiency of an estimator are given in geometrical terms of A. The higher-order terms of the covariance of an efficient estimators are decomposed into the sum of three non-negative geometrical terms. This proves that the bias correc作者: 安撫 時間: 2025-3-27 02:14
https://doi.org/10.1007/978-3-031-13995-6eters. The power function of a test is determined by the geometrical features of the boundary of its critical region. It is proved that a first-order efficient test is automatically second-order efficient, but there is in general no third-order uniformly most powerful test. The third-order power los作者: outrage 時間: 2025-3-27 06:00 作者: 蛛絲 時間: 2025-3-27 12:25
Reasons for Action — Second Partarameter of interest while the nuisance parameters take any values, we have a submanifold in the model M depending on the fixed value. Statistical inference is carried out concerning the family of these submanifolds, so that their geometrical properties play an important role on evaluating inferenti作者: Resign 時間: 2025-3-27 17:15 作者: 子女 時間: 2025-3-27 20:41
978-0-387-96056-2Springer-Verlag Berlin Heidelberg 1985作者: Gorilla 時間: 2025-3-28 02:01
Differential-Geometrical Methods in Statistics978-1-4612-5056-2Series ISSN 0930-0325 Series E-ISSN 2197-7186 作者: 擔(dān)憂 時間: 2025-3-28 02:09
The FABEL Domain for Illustrationemannian metric and the α-connections are introduced in a statistical manifold. No differential-geometrical background is required for reading this monograph, because the present chapter provides a readable introduction to differential geometry.作者: 植物群 時間: 2025-3-28 08:25 作者: Hiatus 時間: 2025-3-28 13:19
Introductionle x. One often uses a statistical model to carry out statistical inference, assuming that the true distribution is included in the model. However, a model is merely a hypothesis. The true distribution may not be in the model but be only close to it. Therefore, in order to evaluate statistical infer作者: CON 時間: 2025-3-28 16:57 作者: 演繹 時間: 2025-3-28 21:41 作者: 假 時間: 2025-3-29 02:58
Conducting a Telehealth Needs Assessmentelehealth program development. As the name suggests, a needs assessment defines the specific needs of a target population and program, while identifying potentially inaccurate assumptions regarding the value, purpose, or intent of establishing new services. We start by discussing why the process is 作者: 寬敞 時間: 2025-3-29 05:44
Advanced Structured Materialshttp://image.papertrans.cn/s/image/864214.jpg作者: Compatriot 時間: 2025-3-29 10:40
