RE: Exploratory data analysis
Dear Colleagues, I recall I have read some exchanges about the exploratory data analysis. Would you share with me your favorite exploratory data analysis books. Thanks. Peter Chen === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
RE: Exploratory data analysis
It doesn't get any better than the orange and green books, by Tukey, and Mosteller Tukey, respectively. On Wed, 3 May 2000, Chen, Peter wrote: Dear Colleagues, I recall I have read some exchanges about the exploratory data analysis. Would you share with me your favorite exploratory data analysis books. Thanks. Peter Chen === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ === === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
Re: Exploratory data analysis
We have some material on the subject you raise. http://www.autobox.com/outlier.html as it deals with exploratory data analysis ( hypothesis generation ) also please see http://www.autobox.com/whatis.html If they are useful to you, please let me and the group know. regards Dave Reilly Ken wrote: Try http://www.itl.nist.gov/div898/handbook/eda/eda.htm and here's one that will give you a headache http://seamonkey.ed.asu.edu/~behrens/asu/reports/Peirce/Logic_of_EDA.html Jostein Vada wrote: Hi, I am a norwegian PhD student within the field of process control, and in 7 days I am going to defend my thesis. One part of the "exam" is to give a lecture on subject which is unknown to me. Six days ago I received the title: "Exploratory Process Data Analysis" Focus is on methods and theory for the data-processing stage of model developement. Issues should include nonlinear filtering techniques, robust statistics, redundant techniques for data analysis, data reconciliation, and graphical examination of data. In other words, the process from raw data until model identification. As far as I know, there is a huge amont of litterature on all these issues. Does anyone know of books, papers or webpages which give a survey over this field? I'll be appreciated for any information. Jostein Vada === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
Exploratory data analysis
Hi, I am a norwegian PhD student within the field of process control, and in 7 days I am going to defend my thesis. One part of the "exam" is to give a lecture on subject which is unknown to me. Six days ago I received the title: "Exploratory Process Data Analysis" Focus is on methods and theory for the data-processing stage of model developement. Issues should include nonlinear filtering techniques, robust statistics, redundant techniques for data analysis, data reconciliation, and graphical examination of data. In other words, the process from raw data until model identification. As far as I know, there is a huge amont of litterature on all these issues. Does anyone know of books, papers or webpages which give a survey over this field? I'll be appreciated for any information. Jostein Vada === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
Re: Exploratory data analysis
and here's one that will give you a headache http://seamonkey.ed.asu.edu/~behrens/asu/reports/Peirce/Logic_of_EDA.html Actually the link above is an older version. Try: http://seamonkey.ed.asu.edu/~alex/pub/Peirce/Logic_of_EDA.html The citation is: Yu, C. H. (1994, April). Induction? Deduction? Abduction? Is there a logic of EDA? Paper presented at the Annual Meeting of American Educational Researcher Association, New Orleans, Louisiana. (ERIC Document Reproduction Service No. ED 376 173) === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
