Risk inclination formula References Navigation menuUtilitarian Model of Confidence Testing for Knowledge-based Societies

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Varignon’s theoremfactorial momentprobabilityconfidence weightsrisk inclination model




The risk inclination formula uses the principle of moments, or Varignon’s theorem, [1][2] to calculate the first factorial moment of probability in order to define this center point of balance among all confidence weights (i.e., the point of risk equilibration).


The formal derivation of the RIF is divided into three separate calculations: (1) calculation of 1st factorial moment, (2) calculation of inclination, and (3) calculation of the risk inclination score.


The RIF [3] is a component of the risk inclination model.



References




  1. ^
    Coxeter, H. S. M. (1967). Quadrangles: Varignon's Theorem. Geometry Revisited. Washington, D.C.: The Mathematical Association of America. pp. 51–55..mw-parser-output cite.citationfont-style:inherit.mw-parser-output .citation qquotes:"""""""'""'".mw-parser-output .citation .cs1-lock-free abackground:url("//upload.wikimedia.org/wikipedia/commons/thumb/6/65/Lock-green.svg/9px-Lock-green.svg.png")no-repeat;background-position:right .1em center.mw-parser-output .citation .cs1-lock-limited a,.mw-parser-output .citation .cs1-lock-registration abackground:url("//upload.wikimedia.org/wikipedia/commons/thumb/d/d6/Lock-gray-alt-2.svg/9px-Lock-gray-alt-2.svg.png")no-repeat;background-position:right .1em center.mw-parser-output .citation .cs1-lock-subscription abackground:url("//upload.wikimedia.org/wikipedia/commons/thumb/a/aa/Lock-red-alt-2.svg/9px-Lock-red-alt-2.svg.png")no-repeat;background-position:right .1em center.mw-parser-output .cs1-subscription,.mw-parser-output .cs1-registrationcolor:#555.mw-parser-output .cs1-subscription span,.mw-parser-output .cs1-registration spanborder-bottom:1px dotted;cursor:help.mw-parser-output .cs1-ws-icon abackground:url("//upload.wikimedia.org/wikipedia/commons/thumb/4/4c/Wikisource-logo.svg/12px-Wikisource-logo.svg.png")no-repeat;background-position:right .1em center.mw-parser-output code.cs1-codecolor:inherit;background:inherit;border:inherit;padding:inherit.mw-parser-output .cs1-hidden-errordisplay:none;font-size:100%.mw-parser-output .cs1-visible-errorfont-size:100%.mw-parser-output .cs1-maintdisplay:none;color:#33aa33;margin-left:0.3em.mw-parser-output .cs1-subscription,.mw-parser-output .cs1-registration,.mw-parser-output .cs1-formatfont-size:95%.mw-parser-output .cs1-kern-left,.mw-parser-output .cs1-kern-wl-leftpadding-left:0.2em.mw-parser-output .cs1-kern-right,.mw-parser-output .cs1-kern-wl-rightpadding-right:0.2em


  2. ^
    Sharma, D. P. (2010). Engineering Mechanics. New Delhi, India: Dorling Kindersley. pp. 8–9.


  3. ^ Jack, B.M.; Hung, K.M.; Liu, C.J.; Chiu, H.L. Utilitarian Model of Confidence Testing for Knowledge-based Societies. ERIC. ED519174.,








Actuarial science, Applied psychology, Educational assessment and evaluation, Educational psychology, Educational psychology instruments, Educational research, Psychological testing, Psychometrics, RiskUncategorized
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