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Mike Brewer wrote: > > I have two (for the sake of argument) *closed* loops defined by a set of > points for each loop. What I want to do is to form the union of the two > regions enclosed by the two loops, such that if the loops do not cross at > all, then the union will just be the two loops. If however they DO cross, > then I want a single loop enclosing the union. > > Is the best way to go about it to find the crossing points of the two loops > and to cut out the bits of the loop in between? If so, what is the best way > of doing this? If not, what method should I use? Here one not very satisfactory method : Suppose you have two loops S1 (A,B,C,D) and S2(P,Q,R,S) : S1 S2 A B P Q D C S R To know if P belongs to the interior of S1, you have to check that P is always at the right side of AB,BC, CD and DA. doing that simultaneously for all points of S2 gives you the points of S2 which belongs to the interior of S1. This method is fast, but assumes that some points of the intersection belong two both loops. All situations are not covered. S2Return to Top
Please e-mail basu@ultrad.stat.missouri.edu for further information. ~~~~~~~~~~~~~~~~~~~~~~~~~****~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The Exponential Distribution Theory, Methods and Applications ~~~~~~~~~~~~~~~~~~~~~~~~~****~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Edited by: N. Balakrishnan Department of Mathematics and Statistics McMaster University, Ontario, Canada Asit P. Basu Department of Statistics, University of Missouri-Columbia, USA Provides a systematic comprehensive treatment of the diverse literature on the theory and applications of the exponential distribution. A consolidation of the latest significant developments in the field, topics covered are of the right balance and in logical sequence. Includes discussions on exponential regression, models and applications of mixture, which cover the especially relevant bootstrapping method, and applications to survival analysis. Will be indispensable to theoretical and applied researchers in statistics, reliability and life-testing, as well as those involved in biological, medical, and behavioral research. SELECTED CONTENTS Basic Distributional Results and Properties ; Order Statistics and their Properties ; MLEs Under Censoring and Truncation and Inference ; Linear Estimation Under Censoring and Inference ; Reliability Estimation and Applications ; Inferences Under Two-Sample and Multi-Sample Situations ; Tolerance Limits and Acceptance Sampling Plans ; Prediction Problems ; Conditional Inference and Applications ; Goodness-of-Fit tests ; Outliers and Some Related Inferential Issues ; Extensions to Estimation Under Multiple-Outlier Models ; Mixtures-Models and Applications ; Inference for Multivariate Exponential Distributions ; Accelerated Life Testing with Applications ; Systems Reliability and Associated Inference ; Exponential Regression with Application ; Two-Stage and Multi-Stage Estimation ; Sequential Inference ; Competing Risks Theory and Identifiability Problems ; Applications in Survival Analysis ; Applications in Queuing Theory ; Computer Simulations CONTRIBUTORS M. Ahsanullah; B.C. Arnold; G.K. Bhattacharyya; R. Chappell; A. Childs; A.C. Cohen; N. Ebrahimi; M. Engerlhardt; U. Gather; J.K. Ghosh; A.J. Gross; J.E. Hewett; J.S. Huang; N.L. Johnson; R.A. Johnson; J.P. Klein; S. Kotz; G.J. McLachlan; N. Mukhopadhyay; H.N. Nagaraja; S. Panchapakesan; R.A. Sandhu; P.K. Sen; A. SenGupta; J.G. Shanthikumar; S.S. Shapiro; B.K. Sinha; P.R. Tadikamalla; R. Viveros; L. Yeh; S. Zacks; Q. Zhang 1996- 638 + xxvi pages Cloth ISBN 2-88449-192-9 US$119/Pound 72/ ECU92 Gordon and BreachReturn to Top
I am now doing a thesis on how to apply statistical methods in archaelogy and would appreciate any information on articles or books that i can refer to on the above subject. Thank u very much in advanceReturn to Top
Hello, I am looking for fast versions of iteratively reweighted least squares algorithm which do not require the evaluation of the inverse at every iteration. Any pointers to published/unpublished work will be very much appreciated. Thank you, Ercan KuruogluReturn to Top
Carolyn Longworth (clongwor@ultranet.com) wrote: : Hi, : This is probably not the place to ask this question, but I am : desperate. (I want to prevent a riot at the Senior Center). : A group of Scrabble players had their year-end fete. They determined : the winners by taking the total of each person's game scores for the : year and dividing this by the number of games the person played. Some : people only showed up for 13 games and so their total was divided by 13, : while others showed up for all 34 games and their total was divided by : 34. The people who showed up for all the games claim that this method : of determining the average scores for the year is more advantagious for : people who play the fewest games. Is there any truth to this? : Thanks! -- As others have pointed out, it is easier to be extreme with a shorter series. -- Nobody has mentioned that the quality of competition has an effect on scores, so that who-plays-whom could make a difference: some opponents are tough; some players play defensively and make it hard to score high (so, winning-margin might be a reasonable criterion, rather than highest score...). I was going to suggest that some players might take it easy, with an easy victory in sight, and not run up the highest score they could, but that never happened in any Scrabble game that I lost. If you were trying to set up a formal ranking, you might start with the averages, and then look at narrower competition which features only the top-scoring people. But if you are trying to make people feel good, why not announce the BEST SCORE of the year, and also HIGHEST-FIVE-SCORE-AVERAGE ? etcetera. Rich Ulrich, wpilib+@pitt.eduReturn to Top
Hi Are there standard general measures of the predictability of a sequence? For example, could one index the overall predictability of the numbers in a long series of the numbers from 1 to 4, such that some series would be more predictable than other series or some transitions in the series would be more predictable than other transitions? This is related to psychological work on reaction time that I and a graduate student are involved in, and I have _absolutely_ no mathematical background in this area. Best wishes Jim ============================================================================ James M. Clark (204) 786-9313 Department of Psychology (204) 774-4134 Fax University of Winnipeg 4L02A Winnipeg, Manitoba R3B 2E9 clark@uwinnipeg.ca CANADA http://www.uwinnipeg.ca/~clark ============================================================================Return to Top
Hi, Let X_i, i=1 through n be a sample, and pi be the corresponding ranking obtained by sorting the data in some order. Is there any work on relationship between the probability distribution for X and pi? For instance, if X is from a Gaussian distribution then what is the distribution for pi? Or if additive Gaussian noise is added to X then how does pi get perturbed? Any info and pointers to literature is appreciated DinkarReturn to Top
Hi !, i'm using an programm called STATISTICA to forecast telephones demand per month. I've acheived good results using an linear trend in exponential smoothing, but now i'm trying to develop an program to make the same calculations.....but i'm getting different results. Can you help me? here are the results from the program STATISTICA: month: JANUARY S0 (estimated from data) = 341884 T0 (estimated from data) = 102675 alpha=0.55 ; beta=0.1 (constants) case Real Values Smoothed Series Resids 1 393221 444559 -51337.5 2 562774 614586 2380.3 3 611754 682960 -71206.1 4 803921 736751 67169.7 5 870344 (* forecasted) I'm using the following formulas: T0=(Xn-X1)/(N-1) , where N is the length of series S0=X1-(T0/2) Formula of trend: T(t)=beta* ( F(t) - F(t-1) ) + (1-beta)*T(t-1) , where T is trend and F is forecast F(t+1)=alpha*( A(t) ) + (1-alpha)*( F(t-1) - T(t-1) ) , where A is the real value I think that this last formula is wrong, can anyone tell me the correct formula(s) so that i can get the same values of STATISTICA ? Thanks in Advance! Antonio Rosa ---- Antonio Rosa Portugal Telecom Special Systems and Services Coimbra - Portugal mail: arosa@mail.telepac.ptReturn to Top
Mike Brewer wrote: > > I have two (for the sake of argument) *closed* loops defined by a set of > points for each loop. What I want to do is to form the union of the two > regions enclosed by the two loops, such that if the loops do not cross at > all, then the union will just be the two loops. If however they DO cross, > then I want a single loop enclosing the union. > > Is the best way to go about it to find the crossing points of the two loops > and to cut out the bits of the loop in between? If so, what is the best way > of doing this? If not, what method should I use? > > > > Mike: These problems are fun, but they're never as easy as they seem! I would use an "edge-walker" technique, somewhat like the following. 1. Repeatedly move horizontally from one edge of the picture until you intersect a curve. 2. start moving along the curve in a clockwise direction. 3. When you get to some sort of a node in the curve, take the most COUNTERclockwise path. 4. When you return to the starting point, you will have traversed the periphery of the union of any intersecting curves. 5. Continue as in 1. to see if you encounter any curves you haven't traversed before. The secret of this is to use a curve which is marked by one bit of, say, and 8-bit pixel. You can now set various other bits to indicate the starting point, pixels you have already traversed, etc etc. The main trouble you may encounter is odd-ball cases where the curves overlap for awhile, for example. Also remember that unless you make some assumptions about shape, you can never know if the crossing of two lines is really two straight lines crossing or two jagged lines touching at one point which is also an elbow. Also do you allow self-intersecting curves like a figure 8? Have fun. Bob -- . Robert A. Smith, Ph.D. _____ . Vision Systems' Analyst | |<. Current Technology, Inc. |_____| . (603) 868-2270 ^ . mailto:ras@curtech.com / \ / \Return to Top
My reading of this was that the problem was only partially statistical, as most real problems are. I suspect the "regular" players object to an "occasional" player who by chance obtains a very high score and thus wins a top spot. In such a case, dividing by the range helps. Of course, without talking to Carolyn Longwoth, the original poster, I cannot be sure. My experience, however, is that taking a questioner's statement about a problem at face value often leads to a lot of work in solving the wrong problem -- although it sometimes leads to a publication. -- Bob Wheeler, ECHIP, Inc. Reply to bwheeler@echip.com) Richard F UlrichReturn to Topwrote in article <5oragu$k0l@usenet.srv.cis.pitt.edu>... > Carolyn Longworth (clongwor@ultranet.com) wrote: > : Hi, > : This is probably not the place to ask this question, but I am > : desperate. (I want to prevent a riot at the Senior Center). > : A group of Scrabble players had their year-end fete. They determined > : the winners by taking the total of each person's game scores for the > : year and dividing this by the number of games the person played. Some > : people only showed up for 13 games and so their total was divided by 13, > : while others showed up for all 34 games and their total was divided by > : 34. The people who showed up for all the games claim that this method > : of determining the average scores for the year is more advantagious for > : people who play the fewest games. Is there any truth to this? > : Thanks! > > -- As others have pointed out, it is easier to be extreme with a > shorter series. > > -- Nobody has mentioned that the quality of competition has an > effect on scores, so that who-plays-whom could make a difference: > some opponents are tough; some players play defensively and make > it hard to score high (so, winning-margin might be a reasonable > criterion, rather than highest score...). I was going to suggest > that some players might take it easy, with an easy victory in sight, > and not run up the highest score they could, but that never happened > in any Scrabble game that I lost. > > If you were trying to set up a formal ranking, you might start with > the averages, and then look at narrower competition which features > only the top-scoring people. But if you are trying to make people > feel good, why not announce the BEST SCORE of the year, and also > HIGHEST-FIVE-SCORE-AVERAGE ? etcetera. > > > Rich Ulrich, wpilib+@pitt.edu > >
In article <33AA08EB.75F61B58@eos.ncsu.edu>, "Pavel E. Guarisma"Return to Topwrites >ModTollens wrote: >> >> Such an interesting thought. I think this allows me to ask the question, >> "Is life fair?" >> I am very interested in any response. > >Sure! >Life, in the long run, is fair!! [apologies in advance for the near-crosspost] What about the second law of thermodynamics? > >The central limit theorem allows us to assume a normal distribution for >large number of observations of any random variable. So this means that, >in the long run, the bad stuff that happens should even out with the >good stuff that happens. Furthermore, since bad experiences and good >experiences should cancel each other out in the long run then the mean >of this Gaussian should be zero. I don't know about you, but I think my life is finite - there won't be enough time to get to the central limit... Dan Bonnick
Hi, in an image processing book I read of a butterworth radially symmetric bandpass filter and this is exactly what I need for my filter problem. Unfortunately I do not know how the formula of such butterworth bandpass filter looks like. So it would be very helpful if someone can give me the formula. Thanks Harry Harry Sommer Lehrstuhl fuer Landschaftsoekologie TU Muenchen-Weihenstephan harry@pollux.edv.agrar.tu-muenchen.deReturn to Top