Displaying 20 results from an estimated 1000 matches similar to: "Professorship Computational Statistics"
2002 Aug 21
0
Tenure track positions in Statistics
This email is forwarded on behalf of Dr. Herbert Gaskill.
Please do not reply to me but direct enquiries to
Ms Wanda Heath <wanda at math.mun.ca> or Dr. Herbert Gaskill
<head at math.mun.ca>. Apologies for cross-posting.
MEMORIAL UNIVERSITY OF NEWFOUNDLAND
St. John's, Newfoundland, Canada A1C 5S7
www.math.mun.ca
DEPARTMENT OF MATHEMATICS AND STATISTICS
The Department of
2013 Oct 24
0
Faculty Position in Biometry / Biological Statistics at Illinois
Assistant/Associate Professor of Biometry
Department of Crop Sciences
College of Agricultural, Consumer and Environmental Sciences
University of Illinois at Urbana ? Champaign
The Department of Crop Sciences is seeking candidates for an Assistant/Associate Professor of Statistics.
The successful candidate will develop a vigorous, externally funded, and nationally recognized research program with
2002 Nov 27
0
Job Posting in Biostatistics/Statistics
This may be of interest to some of you.
Janusz Kawczak.
Associate Professor in Biostatistics or Statistics
The Department of Mathematics is soliciting applications for the tenure
track position of Associate Professorship in BioStatistics or Applied
Statistics, beginning August 2003. Demonstrated prior experience in
multidisciplinary medical or health related funded research is required.
Expected
2003 Oct 14
0
Job notice at the University of Washington
UNIVERSITY OF WASHINGTON
FACULTY POSITION IN QUANTITATIVE PSYCHOLOGY
The Department of Psychology seeks to fill a position in Quantitative
Psychology at the tenure-track assistant professor level. In exceptional
circumstances, appointment at the Associate Professor or Professor level
may be considered for candidates who offer extraordinary opportunities to
further the University's
2010 Jan 19
0
Macualay Duration code in a Functional Form - Please Help
# I have written this code in Notepad++ and copied here.
## ONS - PPA
Duration = function(par_value, coupon_rate, freq_coupon, tenure, ytm)
{
macaulay_duration = NULL
modified_duration = NULL
freq_coupon_new = NULL
if(freq_coupon <= 0)
{
freq_coupon_new = 365
}
if(freq_coupon > 0 & freq_coupon <= 1)
{
freq_coupon_new = 12
}
if(freq_coupon > 1 &
2008 Mar 28
0
Vacancy Principal Postdoc PK-PD modeling The Netherlands
________________________________
Principal Post-Doctoral Fellow
PKPD modelling platform (full time)
Leiden University, Leiden, The Netherlands
<javascript:doredirect();>
Job description
________________________________
TOP Institute Pharma (TI Pharma) has granted our proposal to set up a
mechanism-based PK-PD modelling platform. This platform focuses on the
transfer of
2002 Jun 26
0
Tenure track statistics position at UNB.
The Department of Mathematics and Statistics at the University of New
Brunswick, Fredericton, N. B., Canada, is advertizing a tenure track
position in Statistics, starting 1 July 2003. Please see
http://www.math.unb.ca/job-stat.html
for details.
cheers,
Rolf Turner
rolf at math.unb
[My apologies to those who receive multiple copies of this email.]
2010 Jan 19
0
Macaulay Duration for Group
Dear R helpers
I have following csv file which is an input
id par_value coupon_rate frequency_coupon tenure ytm
1 1000 10 1 5 12
# Here frequency_coupon is coded s.t. 0 means Daily compounding, 1 means monthly compouding, 2 means Quarterly, 3 means Half yearly and 4 means only once. Thus in the
2012 Feb 23
0
Research Associate at University of Cambridge
UNIVERSITY OF CAMBRIDGE
Research Associate In Statistical Software
Grade 7: ?27,428.00 to ?35,788.00
Start date: 1st May 2012
Limit of Tenure: 30thth April 2013
The successful applicant will work on developing and implementing
statistical methodology to analyze social network data. This individual
will implement and document statistical algorithms in the form of packages
for the R
2012 Sep 04
0
Research Associate Position in Viral Evolution, University of Cambridge
Dear All,
Please find a job description attached.
Best wishes,
Simon
**
UNIVERSITY OF CAMBRIDGE
Research Associate In Viral Phylodynamics
Start date: Immediately
Limit of Tenure: 3 years
This post is funded by an MRC Methodology Research Programme grant,
entitled 'Combining epidemiological and phylogenetic models of infectious
disease dynamics'. The successful applicant will
2010 Jan 20
2
Please Please Please Help me!!
Dear R helpers
(I have already written the required R code which is giving me correct results for a given single set of data. I just wish to wish to use it for multiple data.)
I have defined a function (as given below) which helps me calculate Macaulay Duration and Modified Duration and its working fine with given set of data.
My Code -
## ONS - PPA
duration = function(par_value,
2010 Feb 02
2
Yield to Maturity using R
Dear R helpers,
Yesterday I had raised following query which was addressed by Mr Ellison. The query and the wonderful solution as provided by Mr. Ellison are as given below.
## PROBLEM
I am calculating the 'Yield to Maturity' for the Bond with following characteristics.
Its a $1000 face value, 3 year bond with 10% annual coupon and is priced at 101. The yield to maturity can be
2007 Mar 27
1
what is the difference between survival analysis and logistic regression with a timing variable?
Hello:
If the question is how likely an event will occur at a give time point, can
we use logistic regression with time t as a predictor variable? For example,
if the data is
ID Gender Tenure Churn
1 M 17 0
2 M 3 1
3 M 6 0
4 F 10 1
5 F 9 0
6 F
2016 Apr 19
0
Interquartile Range
Hi Michael,
At a guess, try this:
iqr<-function(x) {
return(paste(round(quantile(x,0.25),0),round(quantile(x,0.75),0),sep="-")
}
.col3_Range=iqr(datat$tenure)
Jim
On Tue, Apr 19, 2016 at 11:15 AM, Michael Artz <michaeleartz at gmail.com> wrote:
> Hi,
> I am trying to show an interquartile range while grouping values using
> the function ddply(). So my function
2016 Apr 19
2
Interquartile Range
Hi,
I am trying to show an interquartile range while grouping values using
the function ddply(). So my function call now is like
groupedAll <- ddply(data
,~groupColumn
,summarise
,col1_mean=mean(col1)
,col2_mode=Mode(col2) #Function I wrote for getting the
mode shown below
2016 Apr 19
0
Interquartile Range
Are you aware that there *already is* a function that does this?
?IQR
(also your "function" iqr" is just a character string and would have
to be parsed and evaluated to become a function. But this is a
TERRIBLE way to do things in R as it completely circumvents R's
central functional programming paradigm).
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind
2016 Apr 19
1
Interquartile Range
HI that did not work for me either. The value I got returned from that
function was "<rounded mean> - <rounded mean>" :(. thanks for the reply
through
On Tue, Apr 19, 2016 at 10:34 AM, William Dunlap <wdunlap at tibco.com> wrote:
> > That didn't work Jim!
>
> It always helps to say how the suggestion did not work. Jim's
> function had a typo
2007 Oct 13
1
Plotting with 2 y axes
My data is the following:
Time
Resistance
Temperature
5
2000
4
10
2200
8
15
2500
14
20
2900
20
25
3000
29
30
3100
38
35
3500
46
40
3800
47
45
3900
50
50
4000
51
I would like to create a scatter plot with Time on the x axis, Resistance on
the y axis and Temperature on a second y axis.
I have tried
Plot(Time,Resistance,ylim=range(0,4500)
2009 May 12
0
neural network not using all observations
I am exploring neural networks (adding non-linearities) to see if I can
get more predictive power than a linear regression model I built. I am
using the function nnet and following the example of Venables and
Ripley, in Modern Applied Statistics with S, on pages 246 to 249. I have
standardized variables (z-scores) such as assets, age and tenure. I have
other variables that are binary (0 or 1). In
2016 Apr 19
0
Interquartile Range
> That didn't work Jim!
It always helps to say how the suggestion did not work. Jim's
function had a typo in it - was that the problem? Or did you not
change the call to ddply to use that function. Here is something
that might "work" for you:
library(plyr)
data <- data.frame(groupColumn=rep(1:5,1:5), col1=2^(0:14))
myIqr <- function(x) {