Showing posts with label Financial. Show all posts
Showing posts with label Financial. Show all posts

Sunday, October 23, 2016

J.K. Lasser Pro Survival Skills in Financial Services

J.K. Lasser Pro Survival Skills in Financial Services
By:"Julian Lowenthal"
Published on 2002-10-29 by John Wiley & Sons

This ebook tells about The financial services industry is constantly changing and you need to respond Change is a constant in the financial services industry (FSI). The question is, \

This Book was ranked 34 by Google Books for keyword Survival Skills.

You should Read this ebook J.K. Lasser Pro Survival Skills in Financial Services by click the cover ebook below

J.K. Lasser Pro Survival Skills in Financial Services
Oflqcer Candidate School Anyway, with all that said, the advanced training \u003cbr\u003e\nfocused on \u003cb\u003eskill\u003c/b\u003e areas for particular professionals in the organization. Leaders \u003cbr\u003e\nwere enrolled in classes titled When the Going Gets Tough. They learned that \u003cbr\u003e\nthey must ...

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Thursday, October 20, 2016

Customer Retention in the Financial Industry: An Application of Survival Analysis

Customer Retention in the Financial Industry: An Application of Survival Analysis
By:
Published on 2008 by ProQuest

This ebook tells about The statistical analyses conducted employing two cohorts showed that the Cox model was stable across cohorts. Using Cox's hazard method, all of the independent variables were found to be significantly related to customer retention, while some of demographic factors (for example, tenure, marital status and gender, and channel usage) were not found to significantly affect customer retention in the logistic regression.

This Book was ranked 35 by Google Books for keyword Survival Analysis.

You should Read this ebook Customer Retention in the Financial Industry: An Application of Survival Analysis by click the cover ebook below

Customer Retention in the Financial Industry: An Application of Survival Analysis
Therefore, the static models based on data collected during a specific time period \u003cbr\u003e\ncannot be easily generalized to other periods. By observing customer behavior \u003cbr\u003e\nover time, in a dynamic method, \u003cb\u003esurvival analysis\u003c/b\u003e could address these kinds of ...

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