Displaying 16 results from an estimated 16 matches for "attrition".
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2010 Jul 22
1
Vintage Attrition Curves
Hi There -
New to the list, so hopefully I don't mess this up too much ... I am
hoping maybe some of you can help me. I have a problem I'm trying to
solve regarding customer accounts, attrition and forecasting.
Basically, here is what I want to do (not sure of the best way):
1. Track accounts by vintage (i.e., the month of the date of sale).
2. Forecast total accounts at a given time utilizing 1. and attrition rates.
So, for example, I have a vector of accounts:
a <- c(346, 742, 447...
2012 Apr 24
1
Splitting data into test and train (80:20) kepping attributes similar
Hi,
I am trying to do some predictive modeling around attrition and want to split the dataset into test and train (80:20) and keep the ratio of attritees:non attrites same.
In my dataset the attrition indicator is coded as 0(for non-attritees) and 1 (for attritees) and I want to keep the ratio of 0's to 1 similar.
I apologize for this trivial question but t...
2012 Apr 30
2
Using GEE with sample weights
Dear R community
I am using the gee package to run logistics regression on paired cases from
a panel sample.
We are getting request from a reviewer to use sample weights to account for
different level of attrition.
After searching the documentation I am unable to find a way to incorporate
sample weights into the gee formula. I found a way to incorporate precision
weight but I understand that I cant use that function for sample weight.
I appreciated all help on this issue.
Regards
Stefan Jonsson
[[altern...
2004 May 14
2
Fwd: [ISN] Voice Over IP Can Be Vulnerable To Hackers, Too
Hope this isn't too far OT, but its relevant to us. From isn.attrition.org
>http://www.informationweek.com/story/showArticle.jhtml?articleID=20300851
>
>By W. David Gardner
>TechWeb News
>May 13, 2004
>
>As voice over IP sweeps across the high-tech landscape, many IT
>managers are being lulled into a dangerous complacency because they
>lo...
2010 Apr 08
1
reshape panel data
...t with observations on 549 cities spanning an 18 year
period. However, some of cities did not report in one or more of the 18
years. I would like to implement the procedure suggested by Wooldridge
section 17.1.3 in his "Econometric analysis of cross section and panel data"
to correct for attrition. For example the table below indicates that the 3rd
and the 7th cities in the data set do not have observations for several
years. The Wooldridge procedure requires the generation of a selection
variable that takes on the value of 1 if the city reports in that year and 0
otherwise. How do I assign...
2007 Sep 28
0
re-encode tool win32
...sources, and is almost perfect as-is.
Frank
PS.. The tag line about MS vista probably comes from hotmail (I doubt xiph is doing it). They recently switched to "hotmail live" or some BS like that. I do not endorse MS products and have not worked for them since 2003 (the reason for the attrition of my command line abilities).
Date: Fri, 28 Sep 2007 13:48:42 +0200
From: tranzedude@gmail.com
To: lists@whitehouse.org.nz
Subject: Re: [flac] re-encode tool win32
CC: russofris@hotmail.com; flac@xiph.org
2007/9/28, Aaron Whitehouse <lists@whitehouse.org.nz>:
> Under linux/bash, it w...
2011 Feb 10
1
Longitudinal Weights in PLM package
Hi all,
I a semi-beginner with R and I am working with the plm package to examine a
longitudinal dataset. Each individual in this dataset has a longitudinal
weight for the probability that he or she remains in the sample.
Unfortunately, I have not found an argument to use weights in the plm
function? I tried ?weights=? like in standard lm or in nlme or lm4 but it
does not work. I asked the
2013 Dec 12
3
Is Gluster the wrong solution for us?
We are about to abandon GlusterFS as a solution for our object storage needs. I'm hoping to get some feedback to tell me whether we have missed something and are making the wrong decision. We're already a year into this project after evaluating a number of solutions. I'd like not to abandon GlusterFS if we just misunderstand how it works.
Our use case is fairly straight forward.
2011 Mar 10
1
Sample or Probability Weights in LM4, NLME (and PLM) package
...iefly. How can use the
weighting function in the lme function for my purpose? My variables are
id for each individual, year, age (and age squared to age quartic) and
(to begin with) constant weights for each individual.
I would prefer to use yearly changing weights per individual to capture
better attrition. Do my weights have to be constant in nlme for every
individual (just as in xtreg in Stata)?
My main variables:
id
year
income
age
cross-sectional weight
longitudinal weight
Are you aware of any other packages in R which provide the opportunity
to examine longitudinal data with sample weights?...
2008 Feb 22
0
R expertise
...f heads the "TI Pharma mechanism-based PK-PD
modeling platform". Our unique platform will house a shared database for
the purpose of mechanism-based PK-PD model building. As underscored in
the Critical Path to New Medicines report by the FDA, our models are
essential to revert the current attrition rate of new drugs and will
result in less in vivo testing, increase effectiveness of clinical
trials and will assist clinicians in the treatment of progressive
diseases and of vulnerable patients such as children. This public
private research partnership is a collaborative effort of four
outstandin...
2012 Apr 12
0
Job Opening: Strategy & Analytics Lead Consultant for Google
...tion of campaign success.
? Perform ad hoc and recurring analysis and reporting of customer data to monitor key performance indicators and trends.
? Develop ad hoc advanced analysis of customer data to support hypotheses for opportunities in customer value management, e.g., acquisition, retention, attrition, and demographic/firmographic and behavioral profiles: includes customer segmentation and advanced modeling.
? Conduct experimental design in order to test & learn the best marketing tactics.
? Participate in building, maintaining, and improving reporting/data processes, including new campaign...
2005 May 08
1
RE: Asterisk at home with Broadvoice?
RE Message: 5
Date: Sat, 7 May 2005 23:18:46 -0400
From: Andrew Kohlsmith akohlsmith-asterisk@benshaw.com
Subject: Re: [Asterisk-Users] At home Asterisk via Broadvoice?
To: asterisk-users@lists.digium.com
On May 7, 2005 11:04 pm, John Stegenga wrote:
> Broadvoice will give me 2 lines, with 2 phone numbers each - distinctive
> ring - for a reasonable fee...
Please do a google search for
2005 Apr 13
0
Data Mining in Europe, please advise
...Issues in the
Steel Industry with Perspectives on Six Sigma
Linus Nilsson
Capgemini
Fault Detection in Industrial Process Plants using CART and MARS
Larry Lai, DIRECTV, Inc.
Variable Derivation and Selection For Customer Churn Models
Jon Farrar
Union Bank's Use of CART to Identify Customer Attrition and Screen
Application Fraud
BIOMEDICAL PRESENTATIONS:
Data Mining for Epidemiological Research: Identifying Relationships That
Cannot Be Identified In Any Other Way
Shenghan Lai, Johns Hopkins Medical School
Drug Discovery Clinical Trials and Random Forests at Novartis
John Warner, Novartis
Mo...
2008 Oct 29
5
network design philosophy and practice
I'm wondering how prevalent the practice of physically segregating voice
and data networks is in the Real World.
What are the factors that typically lead to such a decision?
DIscussions of pros and cons are most welcome by me.
Experiences, anybody?
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2007 Sep 28
4
re-encode tool win32
2007/9/28, Aaron Whitehouse <lists@whitehouse.org.nz>:
>
> > Under linux/bash, it would be something like....
> > cd /MusicDirectory
> > find . -type f -name "*.flac" -exec sh -c 'flac -t {} && flac -8V {}'
> \;
>
> Wouldn't it be nice if it was something closer to:
> flac --reencode --recursive -8 *.flac
I think this would
2004 Jun 18
5
Another NEWBIE
Hi,
I'm a very fresh newbie to R.
My first main question is, what the limitations of R are, what methods can R
NOT do, esp. compared to (a) SPSS and (b) SAS?
The second question is, how do you handle the data entry, data management
and data manipulation in R, to me it seems to be really complicated and
confusing?! Are there a kind of "helping tools"?
The third question: are