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: Credit Scoring, Response Modelling and Insurance Rating; A Practical Guide to Steven Finlay Book 2010 Palgrave Macmillan, a division of Mac

[復(fù)制鏈接]
查看: 54676|回復(fù): 46
樓主
發(fā)表于 2025-3-21 19:46:55 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Credit Scoring, Response Modelling and Insurance Rating
副標(biāo)題A Practical Guide to
編輯Steven Finlay
視頻videohttp://file.papertrans.cn/240/239647/239647.mp4
圖書(shū)封面Titlebook: Credit Scoring, Response Modelling and Insurance Rating; A Practical Guide to Steven Finlay Book 2010 Palgrave Macmillan, a division of Mac
描述Every year, financial services organizations make billions of dollars worth of decisions using automated?systems. For example, who to give a credit card to and the premium someone should pay for their home insurance. This book?explains how the forecasting models, that lie at the heart of these systems, are developed and deployed.
出版日期Book 2010
關(guān)鍵詞forecasting; modeling; Parameter; Rating; Scoring; strategy
版次1
doihttps://doi.org/10.1057/9780230298989
isbn_softcover978-1-349-36689-7
isbn_ebook978-0-230-29898-9
copyrightPalgrave Macmillan, a division of Macmillan Publishers Limited 2010
The information of publication is updating

書(shū)目名稱Credit Scoring, Response Modelling and Insurance Rating影響因子(影響力)




書(shū)目名稱Credit Scoring, Response Modelling and Insurance Rating影響因子(影響力)學(xué)科排名




書(shū)目名稱Credit Scoring, Response Modelling and Insurance Rating網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Credit Scoring, Response Modelling and Insurance Rating網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Credit Scoring, Response Modelling and Insurance Rating被引頻次




書(shū)目名稱Credit Scoring, Response Modelling and Insurance Rating被引頻次學(xué)科排名




書(shū)目名稱Credit Scoring, Response Modelling and Insurance Rating年度引用




書(shū)目名稱Credit Scoring, Response Modelling and Insurance Rating年度引用學(xué)科排名




書(shū)目名稱Credit Scoring, Response Modelling and Insurance Rating讀者反饋




書(shū)目名稱Credit Scoring, Response Modelling and Insurance Rating讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

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 23:39:46 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:05:51 | 只看該作者
Sample Selection,f predictor variables. Even with modern computing facilities it may not be practical to use all of the data available. There will also be cases that are not suitable for model construction, and these need to be identified and dealt with. The data used for model construction should also be as similar
地板
發(fā)表于 2025-3-22 06:08:52 | 只看該作者
Gathering and Preparing Data,predictor variables and a dependent variable. All you had to do was read the data into the modelling software and worry about which data analysis and modelling procedures to apply. You probably didn’t have to give any thought to where the data came from or how it was prepared. In practice, it is rar
5#
發(fā)表于 2025-3-22 11:59:36 | 只看該作者
6#
發(fā)表于 2025-3-22 14:41:01 | 只看該作者
7#
發(fā)表于 2025-3-22 18:55:11 | 只看該作者
Model Construction (Parameter Estimation),parameter estimation or modelling. Many different methods of model construction exist, and there are many theoretical arguments why one method is better than another, or why such and such a method is/is not appropriate in a given set of circumstances. However, for predictive modelling the method use
8#
發(fā)表于 2025-3-22 22:40:48 | 只看該作者
9#
發(fā)表于 2025-3-23 04:13:35 | 只看該作者
10#
發(fā)表于 2025-3-23 07:30:20 | 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, 2026-1-21 22:07
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
哈巴河县| 云龙县| 波密县| 江川县| 克山县| 呼和浩特市| 探索| 上犹县| 黄平县| 双桥区| 田林县| 绍兴县| 平泉县| 喀喇| 洛川县| 伊春市| 稷山县| 阳高县| 沅陵县| 郎溪县| 红桥区| 山阳县| 井冈山市| 祥云县| 玉林市| 兴仁县| 迁安市| 通河县| 张家港市| 邵阳市| 柳州市| 南汇区| 南京市| 蒙自县| 治多县| 普安县| 镇赉县| 长丰县| 拜泉县| 凯里市| 苍山县|