找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Statistical Estimation; Asymptotic Theory I. A. Ibragimov,R. Z. Has’minskii Book 1981 Springer Science+Business Media New York 1981 Asympto

[復(fù)制鏈接]
查看: 39258|回復(fù): 42
樓主
發(fā)表于 2025-3-21 20:08:16 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Statistical Estimation
副標(biāo)題Asymptotic Theory
編輯I. A. Ibragimov,R. Z. Has’minskii
視頻videohttp://file.papertrans.cn/877/876411/876411.mp4
叢書名稱Stochastic Modelling and Applied Probability
圖書封面Titlebook: Statistical Estimation; Asymptotic Theory I. A. Ibragimov,R. Z. Has’minskii Book 1981 Springer Science+Business Media New York 1981 Asympto
描述when certain parameters in the problem tend to limiting values (for example, when the sample size increases indefinitely, the intensity of the noise ap- proaches zero, etc.) To address the problem of asymptotically optimal estimators consider the following important case. Let X 1, X 2, ... , X n be independent observations with the joint probability density !(x,O) (with respect to the Lebesgue measure on the real line) which depends on the unknown patameter o e 9 c R1. It is required to derive the best (asymptotically) estimator 0:( X b ... , X n) of the parameter O. The first question which arises in connection with this problem is how to compare different estimators or, equivalently, how to assess their quality, in terms of the mean square deviation from the parameter or perhaps in some other way. The presently accepted approach to this problem, resulting from A. Wald‘s contributions, is as follows: introduce a nonnegative function w(0l> ( ), Ob Oe 9 (the loss function) and given two estimators Of and O! n 2 2 the estimator for which the expected loss (risk) Eown(Oj, 0), j = 1 or 2, is smallest is called the better with respect to Wn at point 0 (here EoO is the expectation evalua
出版日期Book 1981
關(guān)鍵詞Asymptotische Wirksamkeit; Estimation Theory; Estimator; Parameter; Sch?tzung (Statistik)
版次1
doihttps://doi.org/10.1007/978-1-4899-0027-2
isbn_ebook978-1-4899-0027-2Series ISSN 0172-4568 Series E-ISSN 2197-439X
issn_series 0172-4568
copyrightSpringer Science+Business Media New York 1981
The information of publication is updating

書目名稱Statistical Estimation影響因子(影響力)




書目名稱Statistical Estimation影響因子(影響力)學(xué)科排名




書目名稱Statistical Estimation網(wǎng)絡(luò)公開度




書目名稱Statistical Estimation網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Statistical Estimation被引頻次




書目名稱Statistical Estimation被引頻次學(xué)科排名




書目名稱Statistical Estimation年度引用




書目名稱Statistical Estimation年度引用學(xué)科排名




書目名稱Statistical Estimation讀者反饋




書目名稱Statistical Estimation讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

1票 100.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:56:33 | 只看該作者
d. Chapter 9 is an introduction to weak formulations, Sobolev spaces, and direct variationalmethods for linear and quasi-linearelliptic equations. While terse, the material on Sobolev spaces is reasonably compl978-0-8176-4552-6Series ISSN 2197-182X Series E-ISSN 2197-1838
板凳
發(fā)表于 2025-3-22 03:47:14 | 只看該作者
I. A. Ibragimov,R. Z. Has’minskiid. Chapter 9 is an introduction to weak formulations, Sobolev spaces, and direct variationalmethods for linear and quasi-linearelliptic equations. While terse, the material on Sobolev spaces is reasonably compl978-0-8176-4552-6Series ISSN 2197-182X Series E-ISSN 2197-1838
地板
發(fā)表于 2025-3-22 07:17:00 | 只看該作者
I. A. Ibragimov,R. Z. Has’minskiid. Chapter 9 is an introduction to weak formulations, Sobolev spaces, and direct variationalmethods for linear and quasi-linearelliptic equations. While terse, the material on Sobolev spaces is reasonably compl978-0-8176-4552-6Series ISSN 2197-182X Series E-ISSN 2197-1838
5#
發(fā)表于 2025-3-22 09:28:54 | 只看該作者
6#
發(fā)表于 2025-3-22 13:56:09 | 只看該作者
I. A. Ibragimov,R. Z. Has’minskiifinite difference and finite element methods. Computer-aided calculation with Maple? completes the book. Throughout, three fundamental examples are studied with different tools: Poisson’s equation, the heat equ978-3-031-13381-7978-3-031-13379-4Series ISSN 0072-5285 Series E-ISSN 2197-5612
7#
發(fā)表于 2025-3-22 19:49:07 | 只看該作者
8#
發(fā)表于 2025-3-22 22:53:34 | 只看該作者
I. A. Ibragimov,R. Z. Has’minskiirical conditions on the graph of solutions, such as quasi-concavity, for uniqueness to hold. Chapter 9 is an introduction to weak formulations, Sobolev spaces, and direct variationalmethods for linear and quasi-linearelliptic equations. While terse, the material on Sobolev spaces is reasonably compl
9#
發(fā)表于 2025-3-23 04:37:06 | 只看該作者
Book 1981is as follows: introduce a nonnegative function w(0l> ( ), Ob Oe 9 (the loss function) and given two estimators Of and O! n 2 2 the estimator for which the expected loss (risk) Eown(Oj, 0), j = 1 or 2, is smallest is called the better with respect to Wn at point 0 (here EoO is the expectation evalua
10#
發(fā)表于 2025-3-23 07:56:05 | 只看該作者
The Problem of Statistical Estimation,Observations constitute the basis of a statistical experiment: these may be numerical data or data of some other nature obtained as a result of a statistical experiment. The problem is to make, based on these data, some definite and sufficiently reliable conclusions concerning the object under investigation.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 03:34
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
即墨市| 丰都县| 邯郸市| 神农架林区| 郯城县| 镇远县| 建水县| 丹寨县| 钟山县| 长宁县| 临沭县| 景宁| 阳曲县| 武邑县| 木里| 青海省| 八宿县| 利津县| 普兰县| 保定市| 田阳县| 女性| 临湘市| 凌源市| 子洲县| 天台县| 彭山县| 朔州市| 西华县| 类乌齐县| 景宁| 承德市| 寿光市| 新丰县| 宁强县| 松潘县| 广东省| 宜良县| 甘德县| 于田县| 云浮市|