找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Recent Studies on Risk Analysis and Statistical Modeling; Teresa A. Oliveira,Christos P. Kitsos,Luís Grilo Book 2018 Springer Internationa

[復(fù)制鏈接]
查看: 50335|回復(fù): 56
樓主
發(fā)表于 2025-3-21 19:55:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Recent Studies on Risk Analysis and Statistical Modeling
編輯Teresa A. Oliveira,Christos P. Kitsos,Luís Grilo
視頻videohttp://file.papertrans.cn/824/823358/823358.mp4
概述Presents the latest advances in the field of risk analysis.Illustrates the fascinating interactions that have developed between the statistical and biomedical sciences.Describes a diverse range of app
叢書(shū)名稱Contributions to Statistics
圖書(shū)封面Titlebook: Recent Studies on Risk Analysis and Statistical Modeling;  Teresa A. Oliveira,Christos P. Kitsos,Luís Grilo Book 2018 Springer Internationa
描述.This book provides an overview of the latest developments in the field of risk analysis (RA). Statistical methodologies have long-since been employed as crucial decision support tools in RA. Thus, in the context of this new century, characterized by a variety of daily risks - from security to health risks - the importance of exploring theoretical and applied issues connecting RA and statistical modeling (SM) is self-evident. In addition to discussing the latest methodological advances in these areas, the book explores applications in a broad range of settings, such as medicine, biology, insurance, pharmacology and agriculture, while also fostering applications in newly emerging areas. This book is intended for graduate students as well as quantitative researchers in the area of RA..
出版日期Book 2018
關(guān)鍵詞Risk analysis; Statistical distributions; Health risk assessment; Risk quantification; Extreme value the
版次1
doihttps://doi.org/10.1007/978-3-319-76605-8
isbn_softcover978-3-030-09532-1
isbn_ebook978-3-319-76605-8Series ISSN 1431-1968 Series E-ISSN 2628-8966
issn_series 1431-1968
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

書(shū)目名稱Recent Studies on Risk Analysis and Statistical Modeling影響因子(影響力)




書(shū)目名稱Recent Studies on Risk Analysis and Statistical Modeling影響因子(影響力)學(xué)科排名




書(shū)目名稱Recent Studies on Risk Analysis and Statistical Modeling網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Recent Studies on Risk Analysis and Statistical Modeling網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Recent Studies on Risk Analysis and Statistical Modeling被引頻次




書(shū)目名稱Recent Studies on Risk Analysis and Statistical Modeling被引頻次學(xué)科排名




書(shū)目名稱Recent Studies on Risk Analysis and Statistical Modeling年度引用




書(shū)目名稱Recent Studies on Risk Analysis and Statistical Modeling年度引用學(xué)科排名




書(shū)目名稱Recent Studies on Risk Analysis and Statistical Modeling讀者反饋




書(shū)目名稱Recent Studies on Risk Analysis and Statistical Modeling讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

1票 100.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:20:32 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:49:25 | 只看該作者
Daniel Deidda,Robert G. Aykroyd,Charalampos Tsoumpasation mean for the data using either the 95% confidence interval about the mean (Chapter 3 of this book) or the one-group t-test of the mean (Chapter 4 of this book). You have also learned how to test for the difference between the means for two groups of to determine if this difference was a “signi
地板
發(fā)表于 2025-3-22 05:07:51 | 只看該作者
Milan Stehlík,Philipp Hermann,Stefan Giebel,Jens-Peter Schenkation mean for the data using either the 95% confidence interval about the mean (Chap. 3 of this book) or the one-group t-test of the mean (Chap. 4 of this book). You have also learned how to test for the difference between the means for two groups of people to determine if this difference was a “si
5#
發(fā)表于 2025-3-22 10:47:20 | 只看該作者
Izabela Pruchnicka-Grabiashis test compares the mean of your data set against the hypothesized population mean for your data to determine if the difference between these two values is “l(fā)arge enough” to be considered a “significant difference.” The formula is presented, explained, and a practical example is given using your c
6#
發(fā)表于 2025-3-22 15:13:49 | 只看該作者
Marta Ferreirang . to predict Y instead of a single predictor as we discussed in Chap. 6 of this book. The resulting statistical procedure is called “multiple correlation” because it uses two or more predictors, each weighed differently in an equation, to predict Y. The job of multiple correlation is to determine
7#
發(fā)表于 2025-3-22 20:47:25 | 只看該作者
Víctor Leiva,Camilo Lillo,Rodrigo Morrásresearch study and only one measurement (i.e., variable) “number” on each of these people. This chapter asks you to change gears again and to deal with the situation in which you are measuring two variables instead of only one variable and you are trying to discover the “relationship” between these
8#
發(fā)表于 2025-3-23 00:13:29 | 只看該作者
9#
發(fā)表于 2025-3-23 03:06:45 | 只看該作者
10#
發(fā)表于 2025-3-23 06:17:12 | 只看該作者
 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(ài)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(píng) 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(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-10 19:04
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
江陵县| 长汀县| 孝昌县| 红安县| 呼玛县| 揭阳市| 桦南县| 张家港市| 常宁市| 金川县| 遂川县| 苏州市| 乡宁县| 张家界市| 泰顺县| 诏安县| 淮北市| 福建省| 来安县| 深泽县| 巨鹿县| 格尔木市| 宁安市| 济南市| 丰宁| 韩城市| 彰化县| 古浪县| 桂平市| 云霄县| 始兴县| 金昌市| 安丘市| 灵丘县| 全州县| 昌吉市| 扶沟县| 金塔县| 姚安县| 葫芦岛市| 茌平县|