where can i find a source for the von baeyer's test?
961702
The use of dilute alkaline permanganate solution to determine unsaturation is usually called the Baeyer's Test.\n\nTry some of the sites listed below for details on the reagent used and the tesing of alkenes.
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I thought this website assessed it best\n\nhttp://jech.bmjjournals.com/cgi/content/full/54/2/134
16896
You can try this source:
284910
http://www.ambg.com.my/abfmy1/abfm/aboutabfmalaysia.html
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A copy can be obtained by writing to Dr Jean C. Toth, RN,\nThe Catholic University of America, Washington, DC 20064. E-mail toth@cua.edu\n\nHere is information on the test itself:\nhttp://nursing.cua.edu/research/toth-bkat.cfm
783482
Consult www.4tests.com There you can find answers to all your testing needs. Luck
132400
www.zeigtucker.com/home/en/botiga.php \n \nThis website is for a publisher of psych books
540309
Hi there,\n\nHere you go ... http://www.proquestk12.com/productinfo/sirs_researcher.shtml
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See comment above.\n\nYou do need to do several trials at various concentrations though. You can then determine it through a linear regression.\n\nI also suggest that you consult a book on Analytical chemistry, because Beer's law has limitations. For example, it loses linearity at higher concentrations.
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Try the source below.
125617
The test was developed by researchers at the San Francisco Veterans Affairs center in CA.  The link below will give you an online version of the test.
663593
A unified family of goodness-of-fit tests is introduced and studied.\nThe new family of test statistics Sn(s) includes both the supremum\nversion of the Anderson-Darling statistic and the test statistic of\nBerk and Jones (1979) as special cases. The new family is based on\nphi-divergences somewhat analogously to the phi-divergence tests for\nmultinomial families introduced by Cressie and Read (1984), and is\nindexed by a real parameter s ∈ R: s = 2 gives the Anderson - Darling\ntest statistic, s = 1 gives the Berk-Jones test statistic, s = 1/2 gives\na new (Hellinger - distance type) statistic, s = 0 corresponds to the\n“reversed Berk-Jones” statistic studied by Jager and Wellner (2004),\nand s = −1 gives a “studentized” (or empirically weighted) version\nof the Anderson - Darling statistic. We also introduce corresponding\nintegral versions of the new statistics.\nWe show that the asymptotic null distribution theory of Jaeschke\n(1979) and Eicker (1979) for the Anderson-Darling statistic, and of\nBerk and Jones (1979) and Wellner and Koltchinskii (2003) for the\nBerk-Jones statistic, applies to the whole family of statistics Sn(s)\nwith s ∈ [−1, 2]. We also provide new finite-sample approximations\nto the null distributions and show how the new approximations can\nbe used to obtain accurate computation of quantiles.\nOn the side of power behavior, we show that for 0 < s < 1 and\nfixed alternatives the test statistics always converge almost surely to\ntheir corresponding natural parameter. For 1 < s < ∞ we provide\nnecessary and sufficient conditions on the alternative d.f. F for convergence\nto the corresponding natural parameter to hold, and show\nthat the “Poisson boundary” phenomena noted by Berk and Jones\nfor their statistic continues to hold for s ≥ 1 and s < 0 by identifying\nthe Poisson boundary distributions explicitly. We also briefly discuss\nfurther large deviation results and connections between the work of\nBerk and Jones (1979) and Groeneboom and Shorack (1981).\nWe extend the results of Donoho and Jin (2004) by showing that\nall our new tests for s ∈ [−1, 2] have the same “optimal detection\nboundary” for normal shift mixture alternatives as Tukey’s “highercriticism”\nstatistic and the Berk-Jones statistic.
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www.tickle.com\n\nUnder PHD Certified tests you will find an ink blot test.\n\nEnjoy\n\nEdit: Here is the exact link\n\nhttp://web.tickle.com/tests/inkblot/
550359
This is the best one I've seen\n\nhttp://www.hardydetectiveagency.com/
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Please follow the links\nhttp://www.genetic-testing.biz\nhttp://www.genetic.cc\nhttp://www.genome-research.org
197398
type it in on google. Im sure you'll find results
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You should be able to find what you are looking for here;\n\nhttp://www.google.com/search?sourceid=navclient&ie=UTF-8&rls=RNWE,RNWE:2006-03,RNWE:en&q=false+positive+pregnancy+test+result