I want to know where from I can learn application of Bayes method on data?
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If you are trying to do classification (Naive Bayes), here is a good introduction:\nhttp://www.resample.com/xlminer/help/NaiveBC/classiNB_intro.htm\n\nHope this helps.
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Could you tell me what exactly you're looking for? I deal with a lot of these data problems at work everyday. I need to understand a few things:1. What geography are you talking about? 2. For what are you doing the report? school/b-school/business? 3. What do sort of inferences are you looking for in your data? Do you want to establish eating habits/buying behaviour/etc? You can write to me on equitymonkinlove@yahoo.com
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use the formula for confidence interval.. its found on most statistics book.. i would type the formula, but that wouldn't be helping you to be a better student..
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http://en.wikipedia.org/wiki/Data_mining
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http://www.answers.com/topic/density?method=22\nhttp://www.reference.com/search?q=density
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Try:\n\nhttp://baycongroup.com/el0.htm
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The following link has a number of Yahoo Groups on the topic of math and statistics:\nhttp://groups.yahoo.com/search?query=math.html&submit=Search\n\nThe following Yahoo search for statistics societies has a number of associations included in the results:\nhttp://search.yahoo.com/search?ei=utf-8&fr=slv1-&p=statistics%20societies\n\nAnother Yahoo search for Bayesian Statistics Society lists some other resources:\nhttp://search.yahoo.com/search?ei=utf-8&fr=slv1-&p=bayesian%20statistics%20society.\n\nA couple of specific groups or forums of interest may be:\nhttp://www.mathforum.org/\nhttp://www.bayesian.org/\nhttp://www.rss.org.uk/\n\nIf there is a local college or university, you might contact their statistics department to see if they have such a group or club.\n\nBTW, I quite like Statistics and, 20 years after graduating from university, I'm teaching myself statistics and just finished taking a class in Bayesian statistics. I'm not in the "looney bin". I've used Statistics almost every day for the past 4 years. And the best part -- I'm getting paid pretty well to do it. :^)\n\nGood luck to you!
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Is the term you are looking for "probability"?\n\nI hope this helps.
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Enroll in a good college. Or Visit http://www.geog.ubc.ca/courses/geog471/notes/spatial_analysis/spatial_autocorrelation.htm
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Please take a look at MnoGoSearch. It is free/open source software. So you have freedom to study by using it as the example. ( you can access its source code )
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i d like to learn.cud u tell me an appropraite website?
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Try this website for help with your statistics homework:\n\nhttp://www.statsoft.com/textbook/stathome.html
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I would recommend the following:\n\n1.  "Applied GeoStatistics" \n        by Edward H. Isaaks and R.M.Srivastava\n2.  "Statistical and Data Analysis in Geology" \n        by J.C.Davis\n\nIf you are asking about use in specific industry then do let me know. I would be able to guide you.\n\nAlso I would suggest you check this website\nhttp://www.statios.com/Training/\n\nyou can download the pdfs which are good source of Information.
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1. Go to Google at http://www.google.com/\n\n2. Enter into the search field:\n\nPenalized Maximum Likelihood Estimation in Logistic Regression\n\nor even\n\nFirth algorithm Penalized Maximum Likelihood Estimation in Logistic Regression\n\n3. Wow!\n\nThere are resources such as this from the Oxford journal Biometrika:\n\nhttp://biomet.oxfordjournals.org/cgi/content/abstract/69/1/123\n\nPenalized maximum likelihood estimation in logistic regression and discrimination \nJ. A. ANDERSON and V. BLAIR \n\nDepartment of Statistics, University of Newcastle upon Tyne Manchester\nDepartment of Statistical Unit, Statistical Unit, Christie Hospital Manchester \n\nMaximum likelihood estimation of the parameters of the binary logistic regression model for pr(H|x) is discussed with separate discussion of sampling from (i) the conditional distribution of H given x, (ii) the joint distribution of H and x, and (iii) the conditional distribution of x given H. Difficulties associated with continuous x in the latter sampling scheme are discussed. To avoid these, penalized maximum likelihood estimates are introduced, which give estimates of the logistic parameters and a nonparametric spline estimate of the marginal distribution of x. Extensions to multinomial logistic regression are outlined. \n\nKey Words: Binary logistic regression • Discrimination • Maximum likelihood estimation • Multinomial logistic regression • Nonparametric density estimation • Penalized maximum likelihood estimation • Spline function\n\nThere should be enough there to give you a sense of the answer.
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Statistics is applicable in every field of science which involves the data analysis.\nIf You wanna know the reliability of a medicine to patient, statistics can predict the results in some level of confidence.\nThe pills and medicines to stop pregnancy is tested in this way.
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Probability theory is the branch of mathematics that helps assess the chances that something will or will not occur. One of the tools is using probability distributions to model processes in real life.  If the distribution "fits" the process well, predictions can be made about how often events might occur.\n\nThe process might be a coin toss (Bernoulli), the rate at which people arrive at the food line in McDonalds (Poisson), the rate at which new products fail (Weibull).  Once you have an appropriate model, you can say "what are the chances that I'll get 5 heads in a row", if I average 5 people an hour in my food line, what might be the "peak" rate at which I can expect people to arrive.".\n\nNow, to answer your question -- this is difficult.  You haven't provided enough information about the situation or the process to be able to give you any specific guidance.
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try this site\n\nhttp://www.futureaccountant.com/probability/