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SHOJIMA Kojiro The National Center for University Entrance Examinations Asymmetric von Mises Scaling.

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Presentation on theme: "SHOJIMA Kojiro The National Center for University Entrance Examinations Asymmetric von Mises Scaling."— Presentation transcript:

1 SHOJIMA Kojiro The National Center for University Entrance Examinations shojima@rd.dnc.ac.jp Asymmetric von Mises Scaling

2 Purpose of Research Development of an asymmetric multidimensional scaling (MDS) method using a technique from directional statistics Asymmetric von Mises scaling (AMISESCAL)

3 A branch of statistics dealing with angles, courses, and directions as data – Magnetic field analysis, animal migration, disease transmission route, etc. Directional Statistics (c.f., Mardia & Jupp, 2000)

4 von Mises distribution Normal distribution in directional statistics μ : mean direction κ: concentration Slider

5 θ ij θ ji μjμj κjκj μiμi κiκi Person i Person j Proximity (Data) Row  Col ij Person i -g ij Person j g ji - Proximity (Model) Row  Col ij Person i -ξ ij Person j ξ ji - Proximity (Model) Row  Col ij Person i - ξ ij =(1 - π ij )δ ij Person j ξ ji =(1 - π ji )δ ij - δ ij ||x i - x j || 1 5 π ji =f(θ ji |μ j, κ j ) π ij =f(θ ij |μ i, κ i ) Model xjxj xixi

6 Stress Function Optimization – 1st Stage: Genetic Algorithm (GA) – 2nd Stage: Steepest Descent Method (SDM)

7 →ABCD A B C D →ABCD A B C D →ABC A B C 1 7 1 7 1 7 1 1 7 7 1 1 77 1 7 1 1 7777 1 7 1 1 1 1 7 1 A B C A B C D A B C D

8 Omnidirectional and more loveOmnidirectional and less love Omnidirectionality and the Amount of One-sided Love Reduces to the conventional von Mises distribution when ω=1/(2π)

9 Proximity (Data) Row  Col ij Person i -g ij Person j g ji - Proximity (Model) Row  Col ij Person i -ξ ij =(1-π ij )δ ij Person j ξ ji =(1-π ji )δ ji - 1 5 Problem xjxj xixi Person i Person j δ ij π ij =f(θ ij |μ i, κ i )

10 Stress Function (2) Adding Penalty Function U – Reward when there are one-sided love targets in the direction of heavy density – Penalty when there is no target in the direction of heavy density Optimization – GA+SDM

11 A B C D →ABCD A 777 B 117 C 171 D 117 777 7 7 7 1 1 1 1 1 1 A B C D Result

12 Sociometric Data (Chino, 1997, p.13, Revised) →12345678910 1 545332411 2 642123343 3 443344543 4 412114243 5 712112223 6 434234444 7 434455242 8 644434344 9 233332332 444544444

13 Result

14 Future Tasks Dealing with diagonal elements Expansion to 3D model space Expansion to 2 mode (multi-group or longitudinal) data Thank you for your attention. Kojiro Shojima (shojima@rd.dnc.ac.jp)


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