untitled

Size: px
Start display at page:

Download "untitled"

Transcription

1 2 1

2 ) ( ) ( ( )

3 () ADR

4 7 8 4

5 5 9 10

6

7

8

9

10

11

12

13

14

15

16 α

17 33 17

トラブルの現状②

トラブルの現状② N=376 N=376 N=249 N=222 N=54 N=53 N=267 N=33 (N=30) N=159 1410 N=81 N=83 N=79 1410 1410 1410 1410 1410 1410 1410 () (1) () () JFA 1410 10 1410 (2) (3) 1410 (4) () ADR ADR) ADR) ADR) ADR 14 ADR ADR ADR

More information

1 911 9001030 9:00 A B C D E F G H I J K L M 1A0900 1B0900 1C0900 1D0900 1E0900 1F0900 1G0900 1H0900 1I0900 1J0900 1K0900 1L0900 1M0900 9:15 1A0915 1B0915 1C0915 1D0915 1E0915 1F0915 1G0915 1H0915 1I0915

More information

13,825,228 3,707,995 26.8 4.9 25 3 8 9 1 50,000 0.29 1.59 70,000 0.29 1.74 12,500 0.39 1.69 12,500 0.55 10,000 20,000 0.13 1.58 30,000 0.00 1.26 5,000 0.13 1.58 25,000 40,000 0.13 1.58 50,000 0.00 1.26

More information

研修コーナー

研修コーナー l l l l l l l l l l l α α β l µ l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l

More information

5 PHD 1

5 PHD 1 0 5 PHD 1 30 1 1 20 1982 1982 82 82 80 2 89 91 93 3 91 91 91 3 2 4 4 4 300 1971 71 3 PHD UCLA PHD 86 4 1982 30 6 5 7 1981 82 9 12 5 3 5 6 9 9 1 9 3 4 5 6 6 7 1 14 5 7 7 8 20 1994 9 A B A B 10 300 300 3

More information

16 3 11 Ombudsman 1809 1955 1962 1963 1967 1970 1995 7 1 1 2002 2 30 2 57 1996 3 6, 1999 4 125 1997 5 7 1 1980 IOI 6 58 7 109 1996 2 84 1 24 46 65 72 8 43 9 10 11 44 3 40100 12 44 13 14 14 15 16 14

More information

( ) FAS87 FAS FAS87 v = 1 i 1 + i

( ) FAS87 FAS FAS87 v = 1 i 1 + i ( ) ( 7 6 ) ( ) 1 6 1 18 FAS87 FAS87 7 1 FAS87 v = 1 i 1 + i 10 14 6 6-1 - 7 73 2 N (m) N L m a N (m) L m a N m a (m) N 73 9 99 18 4-2 - 4 143 2 145 3 37 4 37 4 40 6 40 6 41 10 41 10 13 10 14 4 24 3 145

More information

第86回日本感染症学会総会学術集会後抄録(I)

第86回日本感染症学会総会学術集会後抄録(I) κ κ κ κ κ κ μ μ β β β γ α α β β γ α β α α α γ α β β γ μ β β μ μ α ββ β β β β β β β β β β β β β β β β β β γ β μ μ μ μμ μ μ μ μ β β μ μ μ μ μ μ μ μ μ μ μ μ μ μ β

More information

Taro10-平成13年度事業報告.PDF

Taro10-平成13年度事業報告.PDF 13 4 1 14 3 31 (1) 16:00 17:00 8 25 4 ( ) (2) 16:00 17:00-1- 6 28 1 (3) ( ) ) ) ( ) (4) ( ) -2- (1) -3- -4- (2) ADR ADR ADR ADR in -5- (3) ( ) (4) (4) ( ) ( ) -6- ( ) (5) -7- ( ) ( ) (6) (1) (2) (3) (7)

More information

( )

( ) ) ( ( ) 3 15m t / 1.9 3 m t / 0.64 3 m ( ) ( ) 3 15m 3 1.9m / t 0.64m 3 / t ) ( β1 β 2 β 3 y ( ) = αx1 X 2 X 3 ( ) ) ( ( ) 3 15m t / 1.9 3 m 3 90m t / 0.64 3 m ( ) : r : ) 30 ( 10 0.0164

More information

16

16 15 16 3-1 3-2 3-3 3-3-1 2 2-1 2 3-3-2 3 3-1 17 ) 3-3-3 115 115 8 10 3-2 3-2 1 1573 24 617 47 322 70 193 93 107 2 1441 25 600 48 313 71 192 94 106 3 884 26 592 49 262 72 189 95 98 4 883 27 571 50 304 73

More information

特許権侵害に対する損害賠償額の算定に関する裁判例の動向

特許権侵害に対する損害賠償額の算定に関する裁判例の動向 [*361] 1998 1999 102 1 105 3 102 3 102 1 102 2 102 3 1. 2. 102 1 2.1 2.2 2.3 2.4 3. 102 2 3.1 3.2 4. 102 3 5. 1. 1) 102 1990 3 1 102 1 10 102 2 102 2 10 102 3 [*362] 2) 1998 1999 102 1 105 3 102 3 2 3)

More information

> > <., vs. > x 2 x y = ax 2 + bx + c y = 0 2 ax 2 + bx + c = 0 y = 0 x ( x ) y = ax 2 + bx + c D = b 2 4ac (1) D > 0 x (2) D = 0 x (3

> > <., vs. > x 2 x y = ax 2 + bx + c y = 0 2 ax 2 + bx + c = 0 y = 0 x ( x ) y = ax 2 + bx + c D = b 2 4ac (1) D > 0 x (2) D = 0 x (3 13 2 13.0 2 ( ) ( ) 2 13.1 ( ) ax 2 + bx + c > 0 ( a, b, c ) ( ) 275 > > 2 2 13.3 x 2 x y = ax 2 + bx + c y = 0 2 ax 2 + bx + c = 0 y = 0 x ( x ) y = ax 2 + bx + c D = b 2 4ac (1) D >

More information

- 1-250

- 1-250 ... 1... 2... 5... 5... 7... 10.. 10... 12... 16... 16... 19... 21... 23... 23... 25 (1)... 25 (2)... 27... 30 (1)... 30... 30... 32 (2)... 35... 35... 38... 40... 45-1 - - 1-250 500 12 115 12 22 20 22

More information

0523(再送版)検討会報告書素案.PDF

0523(再送版)検討会報告書素案.PDF 2 3 4 (1) (2) 5 (3) (1) ADR Alternative Dispute Resolution (2) * EDI(Electronic Data Interchange) 6 (3) 7 21 8 (1) JICA JODC (2) 14 : WTO TRIPs : WTO 9 TRIPs : : (3) 10 11 12 13 14 15 16 17 21 18 (1) (2)

More information

untitled

untitled Contents 01 02 03 1 05 07 11 13 17 2 19 21 23 3 25 27 29 4 33 34 35 37 39 41 42 43 43 43 01 4 6 02 03 1 1 2 3 4 5 6 A B C 7 8 A B C A B C 9 A B C 05 1. 2. 3. 4. 8. B 9. C 06 P.8 1 2 3 4 5 6 07 7 8 9 10

More information

コンテンツ報告書(プレス0705).PDF

コンテンツ報告書(プレス0705).PDF 2 3 4 (1) (2) (3) 5 (1) ADR Alternative Dispute Resolution (2) * * EDI(Electronic Data Interchange) DRM(Digital Rights Management) 6 EDI(Electronic Data Interchange) 6 (3) 7 21 8 (1) JICA JODC (2) 14 :

More information

3/4/8:9 { } { } β β β α β α β β

3/4/8:9 { } { } β β β α β α β β α β : α β β α β α, [ ] [ ] V, [ ] α α β [ ] β 3/4/8:9 3/4/8:9 { } { } β β β α β α β β [] β [] β β β β α ( ( ( ( ( ( [ ] [ ] [ β ] [ α β β ] [ α ( β β ] [ α] [ ( β β ] [] α [ β β ] ( / α α [ β β ] [ ] 3

More information

ALM

ALM ALM 4 60025480 1 1.1 1.1.1 1.1.2 1.2 ALM 2. 2.11 2.1.1 2.1.2 2.2 2.3 3. 3.1 3.1.1 3.1.2 3.1.3 3.1.4 3.2 3.2.1 3.2.2 4. 4.1 4.1.1 4.1.2 4.1.3 4.2 4.2.1 4.2.2 4.2.3 5. 5.1 5.1.1 5.1.2 5.2 2 6. 6.1 6.2 6.1.1

More information

20121115解決センター千葉パンフ完成

20121115解決センター千葉パンフ完成 ADR 121115-1 裁 判 は 公 開 で 長 時 間 を 要 し 費 用 もかかります あっせんは 非 公 開 で 労 使 双 方 の 歩 み 寄 りによる 解 決 を 目 指 します あっせん 員 が 双 方 の 主 張 を 聴 き 和 解 のお 手 伝 いをいたします TEL :043-223-6002 FAX :043-223-6005 千 葉 県 社 労 士 会 千 葉 県 社

More information

zsj2017 (Toyama) program.pdf

zsj2017 (Toyama) program.pdf 88 th Annual Meeting of the Zoological Society of Japan Abstracts 88 th Annual Meeting of the Zoological Society of Japan Abstracts 88 th Annual Meeting of the Zoological Society of Japan Abstracts 88

More information

88 th Annual Meeting of the Zoological Society of Japan Abstracts 88 th Annual Meeting of the Zoological Society of Japan Abstracts 88 th Annual Meeting of the Zoological Society of Japan Abstracts 88

More information

_170825_<52D5><7269><5B66><4F1A>_<6821><4E86><5F8C><4FEE><6B63>_<518A><5B50><4F53><FF08><5168><9801><FF09>.pdf

_170825_<52D5><7269><5B66><4F1A>_<6821><4E86><5F8C><4FEE><6B63>_<518A><5B50><4F53><FF08><5168><9801><FF09>.pdf 88 th Annual Meeting of the Zoological Society of Japan Abstracts 88 th Annual Meeting of the Zoological Society of Japan Abstracts 88 th Annual Meeting of the Zoological Society of Japan Abstracts 88

More information

lim lim lim lim 0 0 d lim 5. d 0 d d d d d d 0 0 lim lim 0 d

lim lim lim lim 0 0 d lim 5. d 0 d d d d d d 0 0 lim lim 0 d lim 5. 0 A B 5-5- A B lim 0 A B A 5. 5- 0 5-5- 0 0 lim lim 0 0 0 lim lim 0 0 d lim 5. d 0 d d d d d d 0 0 lim lim 0 d 0 0 5- 5-3 0 5-3 5-3b 5-3c lim lim d 0 0 5-3b 5-3c lim lim lim d 0 0 0 3 3 3 3 3 3

More information

 

  1 3 1. 5 2. 5 1. 7 2. 10 3. 11 4. 12 1 12 2) 12 5. 14 1 14 2 14 6. 16 1 16 2 21 3 22 7. 23 1 23 2 24 3 25 4 26 5 27 8. 28 1 28 9. 29 1 29 2 29 3 30 4 30 1. 1 31 1) 31 2 31 3 31 4 32 2. 32 3. 32 4. 1 33

More information

1 (Berry,1975) 2-6 p (S πr 2 )p πr 2 p 2πRγ p p = 2γ R (2.5).1-1 : : : : ( ).2 α, β α, β () X S = X X α X β (.1) 1 2

1 (Berry,1975) 2-6 p (S πr 2 )p πr 2 p 2πRγ p p = 2γ R (2.5).1-1 : : : : ( ).2 α, β α, β () X S = X X α X β (.1) 1 2 2005 9/8-11 2 2.2 ( 2-5) γ ( ) γ cos θ 2πr πρhr 2 g h = 2γ cos θ ρgr (2.1) γ = ρgrh (2.2) 2 cos θ θ cos θ = 1 (2.2) γ = 1 ρgrh (2.) 2 2. p p ρgh p ( ) p p = p ρgh (2.) h p p = 2γ r 1 1 (Berry,1975) 2-6

More information

ONEXT YAMAZEN 2018

ONEXT YAMAZEN 2018 2018 3 2 CEO&COO ONEXT YAMAZEN 2018 208,335 239,139 14.8 230,000 104.0 27,381 30,369 10.9 (13.1%) (12.7%) ( 0.4) 22,249 23,721 6.6 5,132 6,647 29.5 6,200 107.2 26 92 5,105 6,554 28.4 6,300 104.0 38

More information

() ADR ATM CONTENTS , TEL 0

() ADR ATM CONTENTS , TEL 0 MIE SHINKIN BANK REPORT 2015 MIE SHINKIN () ADR 33 93 ATM CONTENTS 1 2 3 4 5 5 5 6 6 6 7 8 8 8 9 9 9 9 10 11 12 14 16 16 16 17 17 18 18 19 20 21 60 138 19 258 17,455 6160 515-8586 116-6 TEL 0598-53-2222

More information

II

II II 16 16.0 2 1 15 x α 16 x n 1 17 (x α) 2 16.1 16.1.1 2 x P (x) P (x) = 3x 3 4x + 4 369 Q(x) = x 4 ax + b ( ) 1 P (x) x Q(x) x P (x) x P (x) x = a P (a) P (x) = x 3 7x + 4 P (2) = 2 3 7 2 + 4 = 8 14 +

More information

インターネット関連ADR実証実験報告書

インターネット関連ADR実証実験報告書 ............................................................................................................ .............................................................................................

More information

untitled

untitled i ii iii iv 2001 10 2013 1 24 ADR 1 5 ADR 2 90 3 4,000 2011 70 25 8 1 4 1 3 1 10 50 2,000 2011 2 ADR ADR 1,000 20 3 10 1 3,000 600 0.30.4 21 1 3 16 4 2 5 ODA 5 6 2006 2009 23 5,508 2010 22 2,594 2011 19

More information

指数関数的進化企業に及ぼす弱い連携の影響 日産自動車, 富士フイルム, 川崎重工業のイノベーションの源泉 1 115 12 13 14 15 16 2 21 22 23 24 25 3 31 32 321 322 323 332 4 41 42 43 5-17 - 18 1 115 4 5 9 1 5 5 2 152045 2 3 12015 22015 1000111000 100111200 112

More information

nsg04-28/ky208684356100043077

nsg04-28/ky208684356100043077 δ!!! μ μ μ γ UBE3A Ube3a Ube3a δ !!!! α α α α α α α α α α μ μ α β α β β !!!!!!!! μ! Suncus murinus μ Ω! π μ Ω in vivo! μ μ μ!!! ! in situ! in vivo δ δ !!!!!!!!!! ! in vivo Orexin-Arch Orexin-Arch !!

More information

Japan Research Review 1998年7月号

Japan Research Review 1998年7月号 Japan Research Review 1998.7 Perspectives ****************************************************************************************** - 1 - Japan Research Review 1998.7-2 - Japan Research Review 1998.7-3

More information

運用報告書

運用報告書 GEMS UBS GEMS UBS UBS UBS UBS UBS UBS UBS UBS UBS UBS 2010UBSUBS UBS 20097102010112 GEMSBarclays GEMS Alpha IndexAUD GEMSGEMS GEMS GEMS2009710 200911 2009 2009850bp 5225bp 7275bp 6325bp 200910 200912IMF2009GDP

More information

研修コーナー

研修コーナー l l l l l l l Department of Obstetrics and Gynecology, Fukui Medical University, Fukui l l l l l l µ l β β l α l µ µ l l l l Department of Obstetrics and Gynecology, Gifu University School of Medicine,

More information

a n a n ( ) (1) a m a n = a m+n (2) (a m ) n = a mn (3) (ab) n = a n b n (4) a m a n = a m n ( m > n ) m n 4 ( ) 552

a n a n ( ) (1) a m a n = a m+n (2) (a m ) n = a mn (3) (ab) n = a n b n (4) a m a n = a m n ( m > n ) m n 4 ( ) 552 3 3.0 a n a n ( ) () a m a n = a m+n () (a m ) n = a mn (3) (ab) n = a n b n (4) a m a n = a m n ( m > n ) m n 4 ( ) 55 3. (n ) a n n a n a n 3 4 = 8 8 3 ( 3) 4 = 8 3 8 ( ) ( ) 3 = 8 8 ( ) 3 n n 4 n n

More information

#A A A F, F d F P + F P = d P F, F y P F F x A.1 ( α, 0), (α, 0) α > 0) (x, y) (x + α) 2 + y 2, (x α) 2 + y 2 d (x + α)2 + y 2 + (x α) 2 + y 2 =

#A A A F, F d F P + F P = d P F, F y P F F x A.1 ( α, 0), (α, 0) α > 0) (x, y) (x + α) 2 + y 2, (x α) 2 + y 2 d (x + α)2 + y 2 + (x α) 2 + y 2 = #A A A. F, F d F P + F P = d P F, F P F F A. α, 0, α, 0 α > 0, + α +, α + d + α + + α + = d d F, F 0 < α < d + α + = d α + + α + = d d α + + α + d α + = d 4 4d α + = d 4 8d + 6 http://mth.cs.kitmi-it.c.jp/

More information

個人投資家向け会社説明会

個人投資家向け会社説明会 2019 3 2020 1 2 31 35,000 2906,401 2001 2002 2006 2012 2015 2016 2006123 42 + 20181012 3 JP 201325 4 5 5,981 3,722 17920183 24,000 17,000 20183 41420183 6 6,000 5,627 4,000 4,227 4,502 2,967 4,189 3,163

More information

知能科学:ニューラルネットワーク

知能科学:ニューラルネットワーク 2 3 4 (Neural Network) (Deep Learning) (Deep Learning) ( x x = ax + b x x x ? x x x w σ b = σ(wx + b) x w b w b .2.8.6 σ(x) = + e x.4.2 -.2 - -5 5 x w x2 w2 σ x3 w3 b = σ(w x + w 2 x 2 + w 3 x 3 + b) x,

More information

知能科学:ニューラルネットワーク

知能科学:ニューラルネットワーク 2 3 4 (Neural Network) (Deep Learning) (Deep Learning) ( x x = ax + b x x x ? x x x w σ b = σ(wx + b) x w b w b .2.8.6 σ(x) = + e x.4.2 -.2 - -5 5 x w x2 w2 σ x3 w3 b = σ(w x + w 2 x 2 + w 3 x 3 + b) x,

More information

2 2 1?? 2 1 1, 2 1, 2 1, 2, 3,... 1, 2 1, 3? , 2 2, 3? k, l m, n k, l m, n kn > ml...? 2 m, n n m

2 2 1?? 2 1 1, 2 1, 2 1, 2, 3,... 1, 2 1, 3? , 2 2, 3? k, l m, n k, l m, n kn > ml...? 2 m, n n m 2009 IA I 22, 23, 24, 25, 26, 27 4 21 1 1 2 1! 4, 5 1? 50 1 2 1 1 2 1 4 2 2 2 1?? 2 1 1, 2 1, 2 1, 2, 3,... 1, 2 1, 3? 2 1 3 1 2 1 1, 2 2, 3? 2 1 3 2 3 2 k, l m, n k, l m, n kn > ml...? 2 m, n n m 3 2

More information

1 3 1.1.......................... 3 1............................... 3 1.3....................... 5 1.4.......................... 6 1.5........................ 7 8.1......................... 8..............................

More information

ID POS F

ID POS F 01D8101011L 2005 3 ID POS 2 2 1 F 1... 1 2 ID POS... 2 3... 4 3.1...4 3.2...4 3.3...5 3.4 F...5 3.5...6 3.6 2...6 4... 8 4.1...8 4.2...8 4.3...8 4.4...9 4.5...10 5... 12 5.1...12 5.2...13 5.3...15 5.4...17

More information

NL09

NL09 Information September, 2005 1 2 Japanese Association for Molecular Target Therapy of Cancer News Letter No.9 September, 2005 3 2005 4 Japanese Association for Molecular Target Therapy of Cancer News Letter

More information

漸化式のすべてのパターンを解説しましたー高校数学の達人・河見賢司のサイト

漸化式のすべてのパターンを解説しましたー高校数学の達人・河見賢司のサイト https://www.hmg-gen.com/tuusin.html https://www.hmg-gen.com/tuusin1.html 1 2 OK 3 4 {a n } (1) a 1 = 1, a n+1 a n = 2 (2) a 1 = 3, a n+1 a n = 2n a n a n+1 a n = ( ) a n+1 a n = ( ) a n+1 a n {a n } 1,

More information

加速度センサを用いた図形入力

加速度センサを用いた図形入力 ( ) 2/Sep 09 1 2 1. : ( ) 2. : 2 1. 2. 2 t a 0, a 1,..., a ( ) v 0 t v 0, v 1,..., v n ( ) p 0 t p 0, p 1,..., p n+1 3 Kentaro Yamaguchi@bandainamcogames.co.jp 1 ( ) a i g a i g v 1,..., v n v 0 v i+1

More information

09 II 09/12/ (3D ) f(, y) = 2 + y 2 3D- 1 f(0, 0) = 2 f(1, 0) = 3 f(0, 1) = 4 f(1, 1) = 5 f( 1, 2) = 6 f(0, 1) = z y (3D ) f(, y) = 2 + y

09 II 09/12/ (3D ) f(, y) = 2 + y 2 3D- 1 f(0, 0) = 2 f(1, 0) = 3 f(0, 1) = 4 f(1, 1) = 5 f( 1, 2) = 6 f(0, 1) = z y (3D ) f(, y) = 2 + y 09 II 09/12/21 1 1 7 1.1 I 2D II 3D f() = 3 6 2 + 9 2 f(, y) = 2 2 + 2y + y 2 6 4y f(1) = 1 3 6 1 2 9 1 2 = 2 y = f() f(3, 2) = 2 3 2 + 2 3 2 + 2 2 6 3 4 2 = 8 z = f(, y) y 2 1 z 8 3 2 y 1 ( y ) 1 (0,

More information

( ) ( ) ( ) i (i = 1, 2,, n) x( ) log(a i x + 1) a i > 0 t i (> 0) T i x i z n z = log(a i x i + 1) i=1 i t i ( ) x i t i (i = 1, 2, n) T n x i T i=1 z = n log(a i x i + 1) i=1 x i t i (i = 1, 2,, n) n

More information

数学概論I

数学概論I {a n } M >0 s.t. a n 5 M for n =1, 2,... lim n a n = α ε =1 N s.t. a n α < 1 for n > N. n > N a n 5 a n α + α < 1+ α. M := max{ a 1,..., a N, 1+ α } a n 5 M ( n) 1 α α 1+ α t a 1 a N+1 a N+2 a 2 1 a n

More information

仏大 社会学部論集48号(P)/2.崔

仏大 社会学部論集48号(P)/2.崔 48 2009 3 ETV 2001 NHK 2001 1 30 ETV 2001 ETV 2001 1 2008 6 12 1 NHK 2 NHK NHK 2001 12 ETV 2001 2 NHK 1991 3 4 5 21 20 20 50 24 2 1991 8 14 1930 1945 10 20 48 2009 3 6 1991 1945 7 1992 1 11 7 8 90MBS,

More information

Annual Report 2015 アリアンツ生命保険の現状

Annual Report 2015 アリアンツ生命保険の現状 Annual Report 215 [21441215331] Annual Report 215 Content 1 2 214 3 4 214 6 6 1 13 14 5 17 18 32 52 56 64 Annual Report 215 189125 78,5 284 2157 1 Annual Report 215 2153 URL Allianz Life Insurance Japan

More information

Annual Report 2018 アリアンツ生命保険会社の現状

Annual Report 2018 アリアンツ生命保険会社の現状 Annual Report 218 [21741218331] Annual Report 218 Content 1 2 217 3 4 217 6 6 1 13 14 5 17 18 32 51 55 63 Annual Report 218 18978,8 284 2187 1 Annual Report 218 2183 URL Allianz Life Insurance Japan Ltd.

More information

2 ID POS 1... 1 2... 2 2.1 ID POS... 2 2.2... 3 3... 5 3.1... 5 3.2... 6 3.2.1... 6 3.2.2... 7 3.3... 7 3.3.1... 7 3.3.2... 8 3.3.3... 8 3.4... 9 4... 11 4.1... 11 4.2... 15 4.3... 27 5... 35... 36...

More information

t χ 2 F Q t χ 2 F 1 2 µ, σ 2 N(µ, σ 2 ) f(x µ, σ 2 ) = 1 ( exp (x ) µ)2 2πσ 2 2σ 2 0, N(0, 1) (100 α) z(α) t χ 2 *1 2.1 t (i)x N(µ, σ 2 ) x µ σ N(0, 1

t χ 2 F Q t χ 2 F 1 2 µ, σ 2 N(µ, σ 2 ) f(x µ, σ 2 ) = 1 ( exp (x ) µ)2 2πσ 2 2σ 2 0, N(0, 1) (100 α) z(α) t χ 2 *1 2.1 t (i)x N(µ, σ 2 ) x µ σ N(0, 1 t χ F Q t χ F µ, σ N(µ, σ ) f(x µ, σ ) = ( exp (x ) µ) πσ σ 0, N(0, ) (00 α) z(α) t χ *. t (i)x N(µ, σ ) x µ σ N(0, ) (ii)x,, x N(µ, σ ) x = x+ +x N(µ, σ ) (iii) (i),(ii) z = x µ N(0, ) σ N(0, ) ( 9 97.

More information

春期講座 ~ 極限 1 1, 1 2, 1 3, 1 4,, 1 n, n n {a n } n a n α {a n } α {a n } α lim n an = α n a n α α {a n } {a n } {a n } 1. a n = 2 n {a n } 2, 4, 8, 16,

春期講座 ~ 極限 1 1, 1 2, 1 3, 1 4,, 1 n, n n {a n } n a n α {a n } α {a n } α lim n an = α n a n α α {a n } {a n } {a n } 1. a n = 2 n {a n } 2, 4, 8, 16, 春期講座 ~ 極限 1 1, 1 2, 1 3, 1 4,, 1 n, n n {a n } n a n α {a n } α {a n } α lim an = α n a n α α {a n } {a n } {a n } 1. a n = 2 n {a n } 2, 4, 8, 16, 32, n a n {a n } {a n } 2. a n = 10n + 1 {a n } lim an

More information

~~t: ~ :::~~::;::::::::~:::: 間部制 ::::::! 悦抑制悦机 ; ぬ 之 i:~ 吋 ~lsb1 と α コ jbl5 台己生 (~ 之 ;::~ べ Þ~ T:. こ α コ正

More information

FAX780CL_chap-first.fm

FAX780CL_chap-first.fm FAX-780CL ABCDEFGHIα 01041115:10 :01 FAX-780CL α 1 1 2 3 1 2 f k b a FAX-780CL α n p q 09,. v m t w FAX-780CL A BC B C D E F G H I c i c s s i 0 9 V X Q ( < N > O P Z R Q: W Y M S T U V i c i k

More information

untitled

untitled 1 th 1 th Dec.2006 1 1 th 1 th Dec.2006 103 1 2 EITC 2 1 th 1 th Dec.2006 3 1 th 1 th Dec.2006 2006 4 1 th 1 th Dec.2006 5 1 th 1 th Dec.2006 2 6 1 th 1 th Dec.2006 7 1 th 1 th Dec.2006 3 8 1 th 1 th Dec.2006

More information

nsg02-13/ky045059301600033210

nsg02-13/ky045059301600033210 φ φ φ φ κ κ α α μ μ α α μ χ et al Neurosci. Res. Trpv J Physiol μ μ α α α β in vivo β β β β β β β β in vitro β γ μ δ μδ δ δ α θ α θ α In Biomechanics at Micro- and Nanoscale Levels, Volume I W W v W

More information

FAX780TA_chap-first.fm

FAX780TA_chap-first.fm FAX-780TA ABCDEFGHIα 01041115:10 :01 FAX-780CL α 1 1 2 3 1 2 f k b a FAX-780TA α n p q 09,. v m t w FAX-780TA A BC B C D E F G H I c i c s s i 0 9 i c i k o o o t c 0 9 - = C t C B t - = 1 2 3

More information

202

202 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 DS =+α log (Spread )+ β DSRate +γlend +δ DEx DS t Spread t 1 DSRate t Lend t DEx DS DEx Spread DS

More information

A, B, C. (1) A = A. (2) A = B B = A. (3) A = B, B = C A = C. A = B. (3)., f : A B g : B C. g f : A C, A = C. 7.1, A, B,. A = B, A, A A., A, A

A, B, C. (1) A = A. (2) A = B B = A. (3) A = B, B = C A = C. A = B. (3)., f : A B g : B C. g f : A C, A = C. 7.1, A, B,. A = B, A, A A., A, A 91 7,.,, ( ).,,.,.,. 7.1 A B, A B, A = B. 1), 1,.,. 7.1 A, B, 3. (i) A B. (ii) f : A B. (iii) A B. (i) (ii)., 6.9, (ii) (iii).,,,. 1), Ā = B.. A, Ā, Ā,. 92 7 7.2 A, B, C. (1) A = A. (2) A = B B = A. (3)

More information

2 RAD-AR News Vol.14, No.5 (Jan. 2004)

2 RAD-AR News Vol.14, No.5 (Jan. 2004) Series No. 60Jan. 2004 CONTENTS 2 RAD-AR News Vol.14, No.5 (Jan. 2004) 3 4 RAD-AR News Vol.14, No.5 (Jan. 2004) 5 RAD-AR News Vol.14, No.5 (Jan. 2004) 6 7 RAD-AR News Vol.14, No.5 (Jan. 2004) 8 9 1100

More information

1997 IMF IMF [2001]; [2001]; [2000]; [2003] 5 [2003: 6]; [2000] [2004]

1997 IMF IMF [2001]; [2001]; [2000]; [2003] 5 [2003: 6]; [2000] [2004] 9 1990 1 1997 2 1990 3 1 2 3 [1999]; [2001] ; [1991] ; [1998] [2002] [2003: 3-4] [2003: 46] [2000] 1997 IMF IMF 4 5 150 6 33.3 100 7 4 [2001]; [2001]; [2000]; [2003] 5 [2003: 6]; [2000] [2004] 6 10 1998

More information