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BROWSER GAMES D 0 Portal Worlds RPG --> K K D 0 Game of Thrones Strategy/Multi-Language --> K K D 0 Realm Traveler RPG --> K K D 0 Phoenix Contract APK RPG/ K D 0 Idle Saga RPG K K D 0 Runes of Legend RPG K K D 0 Banquete de Heróis APK RPG/ K K D 0 Idle Dangers APK RPG/ K K D 0 Immortals Revenge RPG K K D 0 Infinity Kingdom Strategy/Multi-Language K K D 0 League of Angels: Pact Français RPG K K D 0 Pixel Dungeon RPG RPG/Casual K K D 0 League of Angels: Pact RPG K K D 0 Phoenix Contract RPG K K D 0 Titan Revenge RPG K K D 0 The Third Age Strategy/Multi-Language K K D 0 Eternal Fury H5 RPG/Multi-Language K K D 0 World of Rune RPG K K D 0 Dark Odyssey RPG K K D 0 Crimson Angel RPG K K D 0 SSR Summoners Casual/RPG K K D 0 League of Angels: Pact Deutsch RPG K K D 0 Titan Revenge Deutsch RPG K K D 0 Sword Masters RPG K K D 0 Eternal Fury EU RPG/Multi-Language K K D 0 Dragon Contract RPG K K D 0 Evil Awakening II : Erebus RPG K K D 0 Omega Zodiac RPG K K D 0 Dragon Awaken H5 RPG K K D 0 Firestone Idle RPG Casual/RPG/Multi-Language K K D 0 Survivor Legacy Strategy/Multi-Language K K D 0 Legend of Warships Strategy K K D 0 Crystal Saga Ⅱ RPG K K D 0 Romance Tycoon RPG/Casual K K D 0 Billionaire RPG/Casual K K D 0 Dark Genesis RPG K K D 0 8 Ball Master Casual/Multi-Language K K D 0 Eternal Fury Polish RPG K K D 0

. . , K [ 31 ] (reduced result).1: A ← ( K [ 31 ] & 0 b 1 ) ≪ 6 2: B ← ( K [ 31 ] & 0 b 10 ) ≪ 5 3: C ← ( K [ 31 ] & 0 b 1111111 ) 4: K [ 16 ] ← K [ 16 ] ⨁ ( ( A ⨁ B ⨁ C ) ≪ 1 ) 5: K [ 8 ] ← K [ 8 ] ⨁ K [ 24 ] ⨁ ( ( K [ 23 ] ≪ 7 ) ∣ ( K [ 24 ] ≫ 1 ) ) ⨁ ( ( K [ 23 ] ≪ 6 ) ∣ ( ( K [ 24 ] ≫ 2 ) ) ⨁ ( ( K [ 23 ] ≪ 1 ) ∣ ( K [ 24 ] ≫ 7 ) ) 6: K [ 0 ] ← K [ 0 ] ⨁ K [ 16 ] ⨁ ( K [ 16 ] ≫ 2 ) ⨁ ( K [ 16 ] ≫ 7 ) 7:forl = 1 to 7 do8: K [ i + 8 ] ← K [ i + 8 ] ⨁ K [ i + 24 ] ⨁ ( ( K [ i + 23 ] ≪ 7 ) ∣ ( K [ i + 24 ] ≫ 1 ) ) ⨁ ( ( K [ i + 23 ] ≪ 6 ) ∣ ( K [ i + 24 ] ≫ 2 ) ) ⨁ ( ( K [ i + 23 ] ≪ 1 ) ∣ ( K [ i + 24 ] ≫ 7 ) ) 9: K [ i ] ← K [ i ] ⨁ K [ i + 16 ] ⨁ ( ( K [ i + 15 ] ≪ 7 ) ∣ ( K [ i + 16 ] ≫ 1 ) ) ⨁ ( ( K [ i + 15 ] ≪ 6 ) ∣ ( K [ i + 16 ] ≫ 2 ) ) ⨁ ( ( K [

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Tekken 6 Customization FAQ Version 0.70 (Work in Progress) NNN TTTTTTTTTTTT EEEEEEEE KKKK KKK KKKK KKK EEEEEEEE NNNNN N N T T E E K K K K K K K K E E N N N N TTTT TTTT E EEEEE K K K K K K K K E EEEEE N NN N N N T T E E K K K K K K K K E E N N N N N N T T E EEEE K KK K K KK K E EEEE N N N N N N T T E E K K K K E E N N N N N N T T E EEEE K KK K K KK K E EEEE N N N N N N T T E E K K K K K K K K E E N N N N N N T TTT E EEEEE K K K K K K K K E EEEEE N NNN N NN N T T E E K K K K K K K K E E N N N N TTTT EEEEEEEE KKKK KKK KKKK KKK EEEEEEEE NNN NNNNN 6666666666 6 6 6 666666 6 6 6 66666 6 6 6 66666 6 6 6 6 6 6 66666 6 6 6 666666666 Written by: Kenneth Walton (Wild Man X) Written on: May 2, 2010 E-mail: [email protected] Website: Tekkenomics ( PSN: Wild_Man_X This FAQ version will be available at: IGN ( GameFAQs ( Tekken Zaibatsu ( Neoseeker ( SuperCheats ( Games Radar / Cheat Planet ( MyPSP.com.au ( Namco Bandai Partners Australia ( ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~ ~~ Table of Contents ~ ~ ~ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1. Version Updates 2. Legal Stuff 3. FAQ Description 4. Legend 5. How to Customize Your Character 6. Scenario Campaign Customization Item Attributes 7. Console & PSP Customization Differences 8. Unlockable Customization Items 9. Customization Colors10. Customized Outfits A. Alisa Bosconovitch B. Anna Williams C. Armor King D. Asuka Kazama E. Baek Doo San F. Bob G. Bruce Irvin H. Bryan Fury I. Christie Monteiro J. Craig Marduk K. Devil Jin L. Eddy Gordo M. Feng Wei N. Ganryu O. Heihachi Mishima P. Hwoarang Q. Jack-6 R. Jin Kazama S. Julia Chang T. Kazuya Mishima U. King V. Kuma / Panda W. Lars Alexandersson X. Lee Chaolan Y. Lei Wulong Z. Leo Kliesen AA. Lili De Rochefort BB. Ling Xiaoyu

T p 1 ) T p 2 / ( 1 − T p 2 ) give 95% confidence limits for the odds ratio in the absence of covariates. 3.2. The Common Odds RatioConsider K independent studies (or strata from the same study), where from the kth study, we have observations for two independent binomial random variables X 1 k and X 2 k with respective success probabilities p 1 k and p 2 k , and respective sample sizes n 1 k and n 2 k , k = 1, 2, ...., K. Thus, the odds ratio from the kth study is δ k = p 1 k / ( 1 − p 1 k ) p 2 k / ( 1 − p 2 k ) , k = 1, 2, ...., K. Assuming that the odds ratio is the same across the K studies, we have δ 1 = δ 2 = . . . . = δ K = δ (say). 3.2.1. An Approximate GPQ for the Common Odds RatioAn approximate GPQ for each δ k , to be denoted by T δ k , can be constructed from the kth study, proceeding as mentioned in Section 3.1. We now combine these GPQs in order to obtain an approximate GPQ for the common odds ratio δ. For this, we propose a weighted average of the study-specific GPQs on the log scale. The weights that we shall use are motivated as follows. For i = 1, 2, if p ^ i k denote sample proportions from the kth study, and if δ ^ k = p ^ 1 k / ( 1 − p ^ 1 k ) p ^ 2 k / ( 1 − p ^ 2 k ) , k = 1, 2, ...., K, then using the delta method, an approximate variance of log ( δ ^ k ) , say 1 / w k , is given by: 1 / w k = 1 n 1 k p 1 k + 0.5 + 1 n 1 k ( 1 − p 1 k ) + 0.5 + 1 n 2 k p 2 k + 0.5 + 1 n 2 k ( 1 − p 2 k ) + 0.5 , where we have also used a continuity correction. Noting that log ( δ ) = ∑ k = 1 K w k log ( δ k ) / ∑ k = 1 K w k , an approximate GPQ T δ for the common odds ratio can be obtained from log ( T δ ) = ∑ k = 1 K T w k log ( T δ k ) / ∑