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Entropy2016,18, 375 Now, for any ζ ∈ S1, we will test the hypothesis that ζ is a circular population mean. Thishypothesis isequivalent tosayingthat there is someλ∈ [0,1] suchthatEZ=λζ.Multiplication byζ−1 thenrotatesEZonto thenon-negativerealaxis:Eζ−1Z=λ≄0. Now,ïŹxζ andconsiderXk=Re(ζ−1Zk),Yk= Im(ζ−1Zk) fork=1,. . . ,nwhichmaybeviewed as theprojectionofZ1, . . . ,Zk onto the line in thedirectionof ζ andonto the lineperpendicular to it. Botharesequencesof independent randomvariables takingvalues in [−1,1]withEXk=λand EYk=0under thehypothesis. Theythus fulïŹll theconditions forHoeffding’s inequalitywith a=−1, b=1andΜ=λor0, respectively. WewillïŹrst consider thecaseofnon-uniquenessof thecircularmean, i.e.,ÎŒ=S1,orequivalently λ = 0. Then, the critical value s0 = t(α4,0,−1,1) is well-deïŹned for any α4 > 2−n, andwe get P(XÂŻn ≄ s0) ≀ α4, and also, by considering−X1, . . . ,−Xn, thatP(−XÂŻn ≄ s0) ≀ α4. Analogously, P(|YÂŻn|≄ s0)≀2α4 = α2.Weconcludethat P (|ZÂŻn|≄√2s0)=P(|XÂŻn|2+ |YÂŻn|2≄2s20)≀P(|XÂŻn|2≄ s20)+P(|YÂŻn|2≄ s20)≀α. Rejecting thehypothesisÎŒ= S1, i.e.,EZ= 0, if |ZÂŻn| ≄ √ 2s0 thus leads toa testwhoseprobability of falserejection isatmostα (seeFigure1).Ofcourse,onemayworkwith |XÂŻn|2≄ s20 and |YÂŻn|2≄ s20 as criterions for rejection;however,wepreferworkingwith |ZÂŻn| ≄ √ 2s0 since it is independentof thechosenζ. 0 s0 s0 P(Re ZÂŻn≄ s0)≀ α4P(Re ZÂŻn≀−s0)≀ α4 P(Im ZÂŻn≀−s0)≀ α4 P(Im ZÂŻn≄ s0)≀ α4 Figure1.Theconstructionfor the testof thehypothesisÎŒ=S1,orequivalentlyEZ=0. In the case of uniqueness of the circular mean, i.e., for the hypothesis λ > 0, we use the monotonicityofΜ+ t(Îł,Μ,a,b) inΜandobtain P ( XÂŻn≀−s0 ) =P (−XÂŻn≄ t(α4,0,−1,1))≀P(−XÂŻn≄−λ+ t(α4,−λ,−1,1))≀ α4 aswell. Forthedirectionperpendiculartothedirectionofζ (seeFigure2),however,wemaynowwork with 38α, sofor sp= t( 3 8α,0,−1,1)—whichiswell-definedwhenever s0 issince 38α> α4 >2−n—weobtain P ( YÂŻn≄ sp ) +P ( YÂŻn≀−sp )≀2 · 38α. Rejecting if XÂŻn≀−s0 or |YÂŻn| ≄ sp, then,willhappenwithprobabilityatmost α4+2 · 38α= αunder thehypothesisÎŒ = ζ. In case thatwealready rejected thehypothesisÎŒ = S1, i.e., if |ZÂŻn| ≄ √ 2s0, ζ will not be rejected if and only if XÂŻn > s0 > 0 and |YÂŻn|< sp < s0 which is then equivalent to |Arg(ζ−1ZÂŻn)|=arcsin(|YÂŻn|/|ZÂŻn|)<arcsin(sp/|ZÂŻn|)= ÎŽH (seeFigure3). DeïŹneCH asallζwhichwecouldnot reject, i.e., CH= { S1, ifα≀2−n+2 or |ZÂŻn|≀ √ 2s0,{ ζ∈S1 : |Arg(ζ−1Όˆn)|< ÎŽH } otherwise. (8) 427
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Differential Geometrical Theory of Statistics
Title
Differential Geometrical Theory of Statistics
Authors
Frédéric Barbaresco
Frank Nielsen
Editor
MDPI
Location
Basel
Date
2017
Language
English
License
CC BY-NC-ND 4.0
ISBN
978-3-03842-425-3
Size
17.0 x 24.4 cm
Pages
476
Keywords
Entropy, Coding Theory, Maximum entropy, Information geometry, Computational Information Geometry, Hessian Geometry, Divergence Geometry, Information topology, Cohomology, Shape Space, Statistical physics, Thermodynamics
Categories
Naturwissenschaften Physik
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