Probability Axiom

Thesynonymprobabilitystatistics(mathematicalterm)generallyreferstotheaxiomofprobability.

Briefintroduction

Thisaxiomcanalsobeexpressedinreverse:"Theeventwiththehighestprobabilityinarandomsamplingisthemostlikelytooccur.)event".

"Onerandomsampling"isatermusedinstatistics.Itallowsyoutorandomlytakeoutoneofmanyobjectswithoutsubjectiveprejudice(insomecases,abatchofsamplingisunifiedasoneExperiment)asasampleforresearch.Thesamplinghereisonlyperformedonce,anditisnotallowedtobedissatisfiedthefirsttime,andthenmakeanothersample.

Theword"mostlikelytoappear"hasasimplemeaning,andithasatasteof"practice".

Theword"probability"hasanabstractmeaningandatasteof"rationality".

Researchhistory

ProbabilityAxioms(ProbabilityAxioms),becauseitsinventorisAndreiKolmogorov,alsoknownasKolmogorovLoveAxiom.WhentheprobabilityP(E)ofaneventEisdefinedinthe"universe"(universe)orthesamplespaceOmegaofallpossiblebasicevents,theprobabilityPmustsatisfythefollowingKolmogorovaxiom.Itcanalsobesaidthatprobabilitycanbeinterpretedasameasuredefinedonthesigmaalgebra(\sigma-Algebra)ofasubsetofthesamplespace.Thosesubsetsareevents,sothatthemeasureofallsetsis1.Thispropertyisimportantbecauseitbringsupthenaturalconceptofconditionalprobability.Foreachnon-zeroprobabilityA,anotherprobabilitycanbedefinedinspace:P(B\vertA)={P(B\capA)\overP(A)}Thisisusuallyreadas"givenSettheprobabilityofBwhenA".IftheconditionalprobabilityofBisthesameastheprobabilityofBwhenAisgiven,thenAandBaresaidtobeindependent.Whenthesamplespaceisfiniteorcountableinfinite,theprobabilityfunctioncanalsodefineitsvalueintermsofbasicevents\{e_1\},\{e_2\},...,here\Omega=\{e_1,e_2,...\}.

Kolmogorov’saxiomsassumethatwehaveabasicset\Omega,whosesubset\mathfrak{F}isasigmaalgebra,andAfunctionPthatassignsarealnumbertotheelementsof\mathfrak{F}.Theelementsof\mathfrak{F}areasubsetof\Omega,called"events".ThefirstaxiomForanysetE\in\mathfrak{F},thatis,foranyeventP(E)\in[0,1].Thatis,theprobabilityofanyeventcanberepresentedbyarealnumberintheintervalfrom0to1.ThesecondaxiomP(\Omega)=1.\,thatis,theprobabilityofacertainbasiceventintheoverallsamplesetis1.Morespecifically,therearenobasiceventsoutsideofthesampleset.Thisisoftenunderestimatedinsomeincorrectprobabilitycalculations;ifyoucannotaccuratelydefinetheentiresampleset,thentheprobabilityofanysubsetcannotbedefined.ThethirdaxiomThecountablesequenceofanypairwisedisjointeventsE_1,E_2,...satisfiesP(E_1\cupE_2\cup\cdots)=\sumP(E_i).Thatis,theprobabilityofasetofeventsthatisaunionofdisjointsubsetsisthesumoftheprobabilitiesofthosesubsets.Thisisalsocalledσadditivity.Ifthereisoverlapbetweensubsets,thisrelationshipdoesnothold.IfyouwanttounderstandKolmogorov'smethodthroughalgebra,pleaserefertoRandomVariableAlgebra.[Edit]LemmaofProbabilityTheoryFromKolmogorov'saxioms,youcanderivesomeotherusefullawsforcalculatingprobability.P(A\cupB)=P(A)+P(B)-P(A\capB).\,P(\Omega-E)=1-P(E).\,P(A\capB)=P(A)\cdotP(B\vertA).\,thisrelationshipgivesBayes'theorem.FromthisitcanbeconcludedthatAandBareindependentifandonlyifP(A\capB)=P(A)\cdotP(B).\,

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