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: R for Marketing Research and Analytics; Chris Chapman,Elea McDonnell Feit Textbook 2015 Springer International Publishing Switzerland 2015

[復(fù)制鏈接]
樓主: 萌芽的心
31#
發(fā)表于 2025-3-26 22:38:10 | 只看該作者
Relationships Between Continuous VariablesWhile it is helpful to understand single variables, such as how many products are sold at a store, more valuable insight emerges when we understand relationships such as “Customers who live closer to our store visit more often than those who live farther away,” or “Customers of our online shop buy a
32#
發(fā)表于 2025-3-27 05:00:01 | 只看該作者
33#
發(fā)表于 2025-3-27 05:42:57 | 只看該作者
34#
發(fā)表于 2025-3-27 11:11:07 | 只看該作者
35#
發(fā)表于 2025-3-27 17:06:37 | 只看該作者
36#
發(fā)表于 2025-3-27 20:27:00 | 只看該作者
Association Rules for Market Basket Analysisare tracked over time in a customer relationship management (CRM) system, sequences of visits and actions on a Web site, and records of customer support calls. These records are very valuable to marketers and inform us about customers’ purchasing patterns, ways in which we might optimize pricing or
37#
發(fā)表于 2025-3-27 21:57:57 | 只看該作者
Identifying Drivers of Outcomes: Linear Models, as a function of predictor variables (also known as . or . variables). Once a relationship is estimated, one can use the model to make predictions or forecasts of the likely outcome for other values of the predictors.
38#
發(fā)表于 2025-3-28 04:21:17 | 只看該作者
Textbook 2015l point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visua
39#
發(fā)表于 2025-3-28 08:50:42 | 只看該作者
40#
發(fā)表于 2025-3-28 13:10:48 | 只看該作者
Association Rules for Market Basket Analysisrt calls. These records are very valuable to marketers and inform us about customers’ purchasing patterns, ways in which we might optimize pricing or inventory given the purchase patterns, and relationships between the purchases and other customer information.
 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 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 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-24 18:46
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
泸州市| 岐山县| 永丰县| 余江县| 绵竹市| 丹东市| 栖霞市| 云霄县| 开鲁县| 龙游县| 阿图什市| 郴州市| 乐平市| 阿拉善盟| 岳阳市| 郧西县| 大宁县| 忻城县| 巴林右旗| 聊城市| 新竹市| 连云港市| 淳化县| 平陆县| 徐州市| 云和县| 苗栗市| 赞皇县| 怀集县| 广宗县| 宕昌县| 美姑县| 营山县| 阳新县| 平江县| 浦城县| 屏东市| 岳阳市| 隆化县| 女性| 西丰县|