Web-Books
in the Austria-Forum
Austria-Forum
Web-Books
Naturwissenschaften
Physik
Differential Geometrical Theory of Statistics
Page - 428 -
  • User
  • Version
    • full version
    • text only version
  • Language
    • Deutsch - German
    • English

Page - 428 - in Differential Geometrical Theory of Statistics

Image of the Page - 428 -

Image of the Page - 428 - in Differential Geometrical Theory of Statistics

Text of the Page - 428 -

Entropy2016,18, 375 Then,weobtain the followingresult: sp s0 0 λζ ζ P(Imζ−1Z¯n≥ sp)≤ 38α P(Reζ−1Z¯n≤−s0)≤ α4 P(Imζ−1Z¯n≤−sp)≤ 38α Figure2.Theconstructionfor the testof thehypothesisEZ=λζwithλ>0. sp Z¯n δH 0 λζ ζ Figure 3. The critical Z¯n regarding the rejection of ζ. δH bounds the angle between μˆn and any acceptedζ. Proposition1. LetZ1, . . . ,Zn be randomvariables takingvalueson theunit circleS1,α∈ (0,1), and letCH bedefinedas inEquation (8). (i) CH is a (1−α)-confidence set for the circular populationmean set. In particular, ifEZ = 0, i.e., the circular populationmean set equalsS1, then |Z¯n|> √ 2s0 with probability atmost α, so indeed CH=S1withprobabilityat least1−α. (ii) s0 andsp areof ordern −12 . (iii) IfEZ =0, then√nδH→0 inprobabilityand theprobabilityof obtaining the trivial confidence set, i.e., P(CH=S1)=P(|Z¯n|≤ √ 2s0), goes to0exponentially fast. Proof. (i)holdsbyconstruction. For (ii), recall Equation (7), from which we obtain the estimates α4 ≤ exp(−ns20/2) resp. 3 8α≤ exp(−ns2p/2), implying that s0 and sp are of order n− 1 2; the same holds stochastically for δH since Z¯n → EZ a.s. Regarding the second statement of (iii), if μ is unique, consider ζ =−μ; then, τ = EX¯n < 0 and − √ 2s0 is eventually less than τ2 and also α > 2 −n+2 eventually. Hence, the probability of obtaining the trivial confidence setCH = S1 is eventually bounded by P(ζ∈CH)≤P(X¯n>−s0)≤P(X¯n> τ2)=P(X¯n−EX¯n>−τ2)≤ exp(−nτ2/8), andthuswillgo to zeroexponentially fastasn tends to infinity. 3. EstimatingtheVariance From the central limit theorem for μˆn in case of unique μ, cf. Equation (4), we see that the aymptoticvarianceof μˆngetssmall if |EZ| isclose to1(thenEZ isclose totheboundaryS1 of theunit disc,which ispossibleonly if thedistribution isveryconcentrated)or if thevarianceE(Im(μ−1Z))2 in thedirectionperpendicular toμ is small (if thedistributionwereconcentratedon±μ, thisvariance wouldbezeroand μˆnwouldequalμwith largeprobability).WhileδH (|Z¯n|beingthedenominator 428
back to the  book Differential Geometrical Theory of Statistics"
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
Web-Books
Library
Privacy
Imprint
Austria-Forum
Austria-Forum
Web-Books
Differential Geometrical Theory of Statistics