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: AComprehensive Textbook on Sample Surveys; Arijit Chaudhuri,Sanghamitra Pal Textbook 2022 The Editor(s) (if applicable) and The Author(s),

[復(fù)制鏈接]
樓主: STRI
41#
發(fā)表于 2025-3-28 14:52:17 | 只看該作者
42#
發(fā)表于 2025-3-28 21:00:38 | 只看該作者
2523-3114 network and adaptive sampling methods and more. The book includes detailed case studies and exercises, making it valuable for students of statistics, specifically survey sampling.?978-981-19-1420-1978-981-19-1418-8Series ISSN 2523-3114 Series E-ISSN 2523-3122
43#
發(fā)表于 2025-3-28 23:14:14 | 只看該作者
44#
發(fā)表于 2025-3-29 05:11:28 | 只看該作者
45#
發(fā)表于 2025-3-29 08:58:45 | 只看該作者
Language Invasion and Language Death,on approach is adopted. A fourth approach is Bayesian, postulating a prior distribution for . and then working out a posterior distribution and a posterior expectation of ., given the sample data at hand. As certain parameters are involved in the prior and are unknowable in practice, they may be sui
46#
發(fā)表于 2025-3-29 12:22:51 | 只看該作者
https://doi.org/10.1007/978-3-030-04681-1y exploit similarities in features of various domains. How to achieve this is our topic in this chapter. Additionally, if for domains of interest, past data are available in case surveys are done consecutively over time, borrowing strength from past data with appropriate modeling, especially on empl
47#
發(fā)表于 2025-3-29 15:52:11 | 只看該作者
48#
發(fā)表于 2025-3-29 21:16:20 | 只看該作者
https://doi.org/10.1007/978-3-030-04681-1osed to underlie the situation so that observations are generated conceptually from a model characterising the probability distribution specifying a super-population of which a finite population is a constituent entity. Then parameters in respect of the models are studied as Analytical studies.
49#
發(fā)表于 2025-3-30 03:29:13 | 只看該作者
Super-Population Modeling. Model-Assisted Approach. Asymptotics,978-1-4020-4425-0
50#
發(fā)表于 2025-3-30 07:58:59 | 只看該作者
Prediction Approach: Robustness, Bayesian Methods, Empirical Bayes,978-94-007-3934-5
 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(diǎn)評 投稿經(jīng)驗(yàn)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, 2026-1-25 08:30
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
乾安县| 乌兰察布市| 安西县| 呼图壁县| 图片| 垦利县| 哈尔滨市| 峨边| 景德镇市| 潮安县| 隆林| 尚志市| 浦江县| 道真| 韶关市| 饶河县| 桐庐县| 闸北区| 长宁区| 安塞县| 洛南县| 和政县| 沭阳县| 西安市| 贺兰县| 镇巴县| 南靖县| 北安市| 宾川县| 新泰市| 和林格尔县| 伊金霍洛旗| 土默特左旗| 汝南县| 沛县| 祥云县| 闻喜县| 瓮安县| 通化县| 双柏县| 海宁市|