ICIP2001 Registration and Accommodation
ICIP 2001 REGISTRATION IS NOW OPEN Dear Madame/Sir, Registration for ICIP2001 has already started. We have prepared for you a fabulus technical program of 824 papers in oral/poster sessions,including8 special sessions, 6 tutorials and 6 plenary talks. ICIP2001 plenaries focus Digital Image Processing on cultural presentation.We would be honored to meet you in Thessaloniki. You can register either by fax or on-line. Please make use of the advance registration/payment deadline (July 30, 2001) to benefit from lower fees. Conference Manager Diastasi will send a confirmation to each registrant by e-mail.All payments must be sent in Greek Drachmas (GRD).For more information about the prices,terms and conditions please visit the conference web site:http://icip01.ics.forth.gr !!DO YOUR ICIP 2001 HOTEL RESERVATION EARLY!! Please note that you should make your hotel reservation as soon as possible, because October is a high season in Thessaloniki.Requests for hotel accommodation can only be made on the official hotel reservation form to be sent either by fax or e-mail or on-line through the congress web-site at the latest by July 30, 2001.In order to guarantee the requested accommodation full prepayment is required.For more information about the prices, terms and conditions please visit the conference web site:http://icip01.ics.forth.gr ICIP 2001 VIRTUAL JOB FAIR,VIRTUAL EXHIBITION This year ICIP2001 will organize two events for the first time:1.Virtual Job Fair2.Virtual exhibitionThe virtual job fair is addressed both to experienced professionals from industry and academia, as well as to graduate/postgraduate students nearing completion of their degrees.For more information on how to participate to the above events please visit the ICIP 2001 web-site (http:\\icip01.ics.forth.gr) and contact Dr. Adrian G. Bors, E-mail: [EMAIL PROTECTED] for any further questions. ICIP2001 On-site Exhibition and Job Fair For information on the participation on On-site Exhibition and Job Fair please contact Dr. N. Nikolaidis, e-mail: [EMAIL PROTECTED]
Re: Help me, please!
On 18 Jun 2001 01:18:37 -0700, [EMAIL PROTECTED] (Monica De Stefani) wrote: 1) Are there some conditions which I can apply normality to Kendall tau? tau is *lumpy* in its distribution for N less than 10. And all rank-order statistics are a bit problematic when you try to use them on rating scales with just a few discrete scores -- the tied values give you bad scaling intervals, and the estimate of variance won't be very good,either. For correlations, your assumption of 'normality' is usually applied to the values at zero. I was wondering if x's observations must be independent and y's observations must be independent to apply asymptotically normal limiting distribution. (null hypothesis = x and y are independent). Could you tell me something about? - Independence is needed for just about any tests. I started to say (as a minor piece of exaggeration) that independence is needed absolutely; but the correct statement, I think, is that independence is always demanded relative to the error term. [ snip, non-linear?] Monotonic is the term. [ snip, T(z): I don't know what that is.] -- Rich Ulrich, [EMAIL PROTECTED] http://www.pitt.edu/~wpilib/index.html = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
Re: Consistency quotation
G. B. Shaw - Pygmaillion (sp) My Fair Lady, maybe too. "I can tell a woman's age in half a minute - and I do." Surely H. Higgins prided himself on consistency :) Jay [EMAIL PROTECTED] wrote: I remember reading something like the following: "Consistency alone is not necessarily a virtue. One can be consistently obnoxious." I believe it was in a discussion to an RSS read paper, maybe from about 30 years ago, but I have not been able to find it again. A web-search for "consistently obnoxious" taught me more about asbestos corks than I care to know, but was otherwise unhelpful. Can anyone provide the source, or at least a lead? Many thanks, Ewart Shaw. -- J.E.H.Shaw [Ewart Shaw] [EMAIL PROTECTED] TEL: +44 2476 523069 Department of Statistics, University of Warwick, Coventry CV4 7AL, U.K. http://www.warwick.ac.uk/statsdept/Staff/JEHS/ The opposite of a profound truth is not also a profound truth. = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ = -- Jay Warner Principal Scientist Warner Consulting, Inc. North Green Bay Road Racine, WI 53404-1216 USA Ph: (262) 634-9100 FAX: (262) 681-1133 email: [EMAIL PROTECTED] web: http://www.a2q.com The A2Q Method (tm) -- What do you want to improve today? = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
Re: Marijuana
W. D. Allen Sr. wrote: There is medical research that shows marijuana is more lethal than tobacco regarding lung cancer. Maybe there is a correlation between lung cancer susceptibility and heart attacks? We know there is for tobacco! We know there is a correlation between alcohol, doctor's bills, and the tuition for Big Fart science schools and heart attacks too!. But why is that always swept under the rug by probabilty theory genius? = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
Special Short Course
*** Special Course Announcement *** Exact Inference on Repeated Measures, Growth Curves,MANOVA and Mixed Models August 10,2001 Atlanta, GA Course Description: MLE and other widely used approximate methods in Mixed Models including Repeated Measures and Grouwth Curves have very serious size (false positive error) problems. Moreover, they also suffer from lack of power problems. The false positive error of MLE based tests concerning randowm effects of mixed models can be as large as 40% when the intened level is only 5%. Exact statistical methods are especially important in applications involving small samples and/or large variance, which is usually the case in many industrial, pharmaceutical and biomedical research, in particular. Applications of asymptotoc tests and tests which ignore heteroscedasticity can lead to very serious repercussions in such situations. In this course you will learn how to perform exact procedures, testing of hypotheses and interval estimation that do not suffer from such drawbacks to detect truly significant experimental results in a timely manner. The participants will also learn how to use tools available from the software specializing in exact parametic methods, XPro. Instructor: Dr. Sam Weerahandi He is the author of the first book specializing in exact statistical Methods, "Exact Statistical Methods for Data Analysis" from Springer-Verlag. Please visit http://www.dataxiom.com for a complete information. = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
Re: comparing 2 slopes
in article [EMAIL PROTECTED], Tracey Continelli at [EMAIL PROTECTED] wrote on 6/13/01 4:14 PM: Mike Tonkovich [EMAIL PROTECTED] wrote in message news:3b20f210_1@newsfeeds... Was hoping someone might be able to confirm that my approach for comparing 2 slopes was correct. I ran an analysis of covariance using PROC GLM (in SAS) with an interaction statement. My understanding was that a nonsignificant interaction term meant that the slopes were the same, and vice versa for a significant interaction term. Is this correct and is this the best way to approach this problem with SAS? Any help would certainly be apprectiated. Mike Tonkovich -- Michael J. Tonkovich, Ph.D. Wildlife Research Biologist ODNR, Division of Wildlife [EMAIL PROTECTED] The slopes need not be the same if the interaction term is non-significant, BUT, the difference between them will not be statistically significant. If the differences between the slops *are* statistically significant, this will be reflected in a statistically significant product term. I have preferred using regression analyses with interaction terms, which can be easily incorporated by simply multiplying the variables together and then running the regression equation with each independent variable plus the product term [which is simply another name for the interaction term]. The results are much more straightforward in my mind. Tracey Continelli SUNY at Albany I agree completely but there can be problems interpreting the regression Output (e.g., mistakes like talking about main effects). For advice on avoiding the common interpretation pitfalls, see Aiken West (1991). Multiple regression: Testing and interpreting interactions. Sage. Irwin McClelland (2001). In Journal of Marketing Research. Gary McClelland Univ of Colorado = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
