Re: [R] time series analysis

2007-02-02 Thread Pfaff, Bernhard Dr.
Hello John,

as a starting point you might also want to have a look at:

@book{BOOK,
author={Robert S Pindyck and Daniel L Rubinfeld},
title={Econometric Models and Economic Forecasts},
year={1997},
publisher={McGraw-Hill/Irwin},
isbn={0079132928}
}

The monographies of Hamilton and Lütkepohl might then be taken into focus.

Best,
Bernhard 

John --

Well, as a start, have a look at Modern Applied Statistics with S, by
Venables and Ripley, both of which names you will recognize if you read
this list often.  There is a 30-page chapter on time series (with
suggestions for other readings), obviously geared to S and R, that is a
good jumping-off place.

Ben Fairbank


-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of lamack lamack
Sent: Thursday, February 01, 2007 3:12 PM
To: R-help@stat.math.ethz.ch
Subject: [R] time series analysis

Does anyone know a good introductory book or tutorial about 
time series 
analysis? (time
series for a beginner).

Thank you so much.

John Lamak

_
Descubra como mandar Torpedos SMS do seu Messenger para o celular dos
seus 
amigos. http://mobile.msn.com/

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide 
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

*
Confidentiality Note: The information contained in this mess...{{dropped}}

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] time series analysis

2007-02-01 Thread lamack lamack
Does anyone know a good introductory book or tutorial about time series 
analysis? (time
series for a beginner).

Thank you so much.

John Lamak

_
Descubra como mandar Torpedos SMS do seu Messenger para o celular dos seus 
amigos. http://mobile.msn.com/

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


Re: [R] time series analysis

2007-02-01 Thread Ben Fairbank
John --

Well, as a start, have a look at Modern Applied Statistics with S, by
Venables and Ripley, both of which names you will recognize if you read
this list often.  There is a 30-page chapter on time series (with
suggestions for other readings), obviously geared to S and R, that is a
good jumping-off place.

Ben Fairbank


-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of lamack lamack
Sent: Thursday, February 01, 2007 3:12 PM
To: R-help@stat.math.ethz.ch
Subject: [R] time series analysis

Does anyone know a good introductory book or tutorial about time series 
analysis? (time
series for a beginner).

Thank you so much.

John Lamak

_
Descubra como mandar Torpedos SMS do seu Messenger para o celular dos
seus 
amigos. http://mobile.msn.com/

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] Time Series Analysis: book?

2005-09-08 Thread jfontain
There has been a few questions on the subject lately.
Is there any book on the subject, if possible with a computer processing flavor,
that you would highly recommend?


Many thanks in advance,


--
Jean-Luc

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html


Re: [R] Time Series Analysis: book?

2005-09-08 Thread Wensui Liu
TS is a huge topic. The book recomended by statisitcian might be different 
from the one recommended by econometrician. Finance guy might recommend 
another. 

Could you please be more specific?

On 9/8/05, [EMAIL PROTECTED] [EMAIL PROTECTED] wrote:
 
 There has been a few questions on the subject lately.
 Is there any book on the subject, if possible with a computer processing 
 flavor,
 that you would highly recommend?
 
 
 Many thanks in advance,
 
 
 --
 Jean-Luc
 
 __
 R-help@stat.math.ethz.ch mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide! 
 http://www.R-project.org/posting-guide.html
 



-- 
WenSui Liu
(http://statcompute.blogspot.com)
Senior Decision Support Analyst
Cincinnati Children Hospital Medical Center

[[alternative HTML version deleted]]

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html


Re: [R] Time Series Analysis: book?

2005-09-08 Thread Jean-Luc Fontaine
Wensui Liu wrote:

 TS is a huge topic. The book recomended by statisitcian might be
 different from the one recommended by econometrician. Finance guy
 might recommend another. Could you please be more specific?


My software (http://moodss.sourceforge.net) collects, archives in a
SQL database and displays data from monitored devices, mostly
computers, databases and network equipment.
My idea is to use the stored data to perform predictions for capacity
planning purposes. For example, based on the trafic on a network
line for the last 12 months, what is the expected evolution in the
next 3 months.
So the data is more of the engineering type, I guess. But since the
software is modular, somebody could also use it to monitor the stock
market.
Actually, anything can be monitored so the data could come from
any source although practically mostly from computing related devices
and activities.

So I would like a book covering at least those subjects if possible.

Thanks very much for your help.

-- 
Jean-Luc Fontaine  http://jfontain.free.fr/

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html


Re: [R] Time Series Analysis: book?

2005-09-08 Thread Spencer Graves
  1.  Have you read the appropriate chapter in Venables and Ripley 
(2002) Modern Applied Statists with S (Springer)?  If no, I suggest you 
start there.

  2.  Have you worked through the vignettes associated with the zoo 
package?  If no, you might find that quite useful.  [Are you aware that 
edit(vignette(...)) will provide a script file with the R code discussed 
in the vignette, which can be viewed in Adobe Acrobat while you are 
working throught the examples line by line, modifying them, etc.?  I've 
found this to be very useful.  If you use XEmacs, edit(vignette(...)) 
may not work.  Instead, try Stangle(vignette(...)$file).  This will copy 
the R code to a file in the working directory, which you can then open.]

  3.  Have you considered Durbin, J. and Koopman, S. J. (2001) _Time 
Series Analysis by State Space Methods._  Oxford University Press?  If 
no, you might want to spend some time with that.

   I'm still looking for the right kind of introduction and overview to 
what is available in R for time series analysis, especially with a 
Bayesian approach to Kalman filtering and smoothing.  Unfortunately, I 
have yet to find the key I feel I need to get started, though I found 
the vignettes with zoo to be quite helpful.

  spencer graves

Jean-Luc Fontaine wrote:

 Wensui Liu wrote:
 
 
TS is a huge topic. The book recomended by statisitcian might be
different from the one recommended by econometrician. Finance guy
might recommend another. Could you please be more specific?
 
 
 
 My software (http://moodss.sourceforge.net) collects, archives in a
 SQL database and displays data from monitored devices, mostly
 computers, databases and network equipment.
 My idea is to use the stored data to perform predictions for capacity
 planning purposes. For example, based on the trafic on a network
 line for the last 12 months, what is the expected evolution in the
 next 3 months.
 So the data is more of the engineering type, I guess. But since the
 software is modular, somebody could also use it to monitor the stock
 market.
 Actually, anything can be monitored so the data could come from
 any source although practically mostly from computing related devices
 and activities.
 
 So I would like a book covering at least those subjects if possible.
 
 Thanks very much for your help.
 

-- 
Spencer Graves, PhD
Senior Development Engineer
PDF Solutions, Inc.
333 West San Carlos Street Suite 700
San Jose, CA 95110, USA

[EMAIL PROTECTED]
www.pdf.com http://www.pdf.com
Tel:  408-938-4420
Fax: 408-280-7915

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html


Re: [R] Time Series Analysis: book?

2005-09-08 Thread jfontain
Quoting Spencer Graves [EMAIL PROTECTED]:

 1.  Have you read the appropriate chapter in Venables and Ripley
 (2002) Modern Applied Statists with S (Springer)?  If no, I suggest you
 start there.

 2.  Have you worked through the vignettes associated with the zoo
 package?  If no, you might find that quite useful.  [Are you aware that
 edit(vignette(...)) will provide a script file with the R code discussed
 in the vignette, which can be viewed in Adobe Acrobat while you are
 working throught the examples line by line, modifying them, etc.?  I've
 found this to be very useful.  If you use XEmacs, edit(vignette(...))
 may not work.  Instead, try Stangle(vignette(...)$file).  This will copy
 the R code to a file in the working directory, which you can then open.]

 3.  Have you considered Durbin, J. and Koopman, S. J. (2001) _Time
 Series Analysis by State Space Methods._  Oxford University Press?  If
 no, you might want to spend some time with that.

  I'm still looking for the right kind of introduction and overview to
 what is available in R for time series analysis, especially with a
 Bayesian approach to Kalman filtering and smoothing.  Unfortunately, I
 have yet to find the key I feel I need to get started, though I found
 the vignettes with zoo to be quite helpful.

Thank you very much Spencer and all who responded.

I think I have enough to get started with all this valuable information.


--
Jean-Luc

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html