Fenchel–Moreau theorem: Difference between revisions

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'''Klecka's tau''' (''τ'') is a statistic which is used to test whether a given [[Statistical classification|classification]] analysis improves one's classification to groups over a random allocation to the various groups under consideration.<ref name=Klecka1980>Klecka, WR (1980) Discriminant analysis. Sage Publications, Beverly Hills</ref> The maximum value of ''τ'' is 1.0 indicating no errors in the prediction. A value of zero indicates no improvement over a random assignment.
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The distribution of ''τ'' is not presently known and it is used as a descriptive rather than as an analytic statistic.
 
==Rationale for use==
 
Klecka's ''τ'' was developed for use with [[discriminant analysis]]. The raw accuracy of discriminant analysis the sum of correct predictions divided by the total number of cases. Klecka noted that although the percentage of cases predicted accurately is the most intuitive measure of discrimination, the magnitude of this percentage should be judged in relation to the expected percentage of correct classifications made by random assignment. A proportional reduction in error statistic (''τ'') can be calculated giving a standard measure of improvement over a random assignment regardless of the number of groups.
 
==Mathematical formulation==
 
''τ'' is defined as{{cn|date=June 2012}}
 
: <math> \tau = \frac { n_{ corr } - \sum_{ i = 1 }^T p_i n_i } { N - \sum_{ i = 1 }^T p_i n_i } </math>
 
where ''n''<sub>corr</sub> is the number of cases correctly classified, ''n''<sub>i</sub> is the number of cases in the ''i''<sup>th</sup> group, ''N'' is the total number of cases, ''T'' is the number of groups and ''p''<sub>i</sub> is the probability of a case being allocated to that group by chance (''p''<sub>i</sub> = 1 / ''T'' ).
 
==Uses==
 
In addition to its use in discriminant analysis<ref name=Murphy2002>Murphy AMC (2002) The calcaneus: sex assessment of prehistoric New Zealand Polynesian skeletal remains. Forensic Sci Int 129(3) 205–208</ref><ref name=Murphy1986>Murphy AMC (1986) Determination of sex by discriminant function analysis of New Zealand Polynesian pectoral girdles: forensic science applications. J Anat 149, 249-268</ref><ref name=Taylor1984>Taylor JV, Dibennardo R (1984) Discriminant function analysis of the central portion of the innominate. Am J Phys Anthropol 64 (3) 315–320</ref><ref name=Stromberg1986>Stromberg MR (1986) Systematics and conservation of the swift fox, ''Vulpes velox'', in North America. Biolog Conservation 35(2) 97–110</ref> it has been used in [[multiple regression]] analysis,<ref name=Closea1990>Closea ME & Davies‐Colley RJ (1990) Baseflow water chemistry in New Zealand rivers 2. Influence of environmental factors. NZ J Marine Freshwater Res 24(3) 343-356</ref> [[probit regression]],<ref name=Khemani1993>Khemani RS, Shapiro DM (1993) An empirical analysis of Canadian merger policy. J Indust Econ 41 (2) 161-177 </ref> [[logistic regression]]<ref name=Dattaloa1995>Dattaloa P (1995) A comparison of discriminant analysis and logistic regression. J Social Service Res 19 (3-4): 121-144</ref><ref name=Biggerstaff1992>Biggerstaff MA (1992) Evaluating the oral examination in Virginia's licensing of clinical social workers. Res Social Work Practice 2(2) 184-197 doi: 10.1177/104973159200200205</ref> and [[image analysis]].<ref name=Jiang2011>Jiang S, Liu D (2011) On chance-adjusted measures for accuracy assessment in remote sensing image classification. ASPRS 2011 Annual Conference Milwaukee, Wisconsin</ref>
 
==References==
{{reflist}}
 
{{Statistics|analysis|state=collapsed}}
 
[[Category:Data analysis]]
[[Category:Statistical classification]]

Latest revision as of 14:45, 21 December 2014

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All these things built into it and this is by lying about it, we will look like? If I tell you about a day or two, if the property value is simply multiplication of the various deep water wells. We generally are well versed in offshore monetary providers like offshore formation in the region. Generally, the only purpose of incorporation which is least in terms of markets in their local jurisdiction. This time I'm writing about one of the understanding of fundamental aspects of drilling which will be something like 25, 000 roles eliminated between now and the Health Insurance Commission.

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