Microsoft Word - News 18 本文.doc

Size: px
Start display at page:

Download "Microsoft Word - News 18 本文.doc"

Transcription

1 Argonauta 18: (2010) Cohen et al A, B, C X, Y, Z 17

2 error error X Y 1981 i) ii) 0 18

3 iii) iv) Yi = X1i + 2 X2i + + p Xpi + i Xp pxpi + i i i Xp i Xp i 2 X Y 0 Xi Xi Yi Xi 1 i), ii), iii) 1979, Underwood 1997 Cohen et al

4 i ) X1 = X2, X1 =X2 + X3 ii ) 0 b2 X2 X1 Y X b1 0 tolerance VIF tolerance R R 2, r = 1 R 2 redundancy R 2 tolerance R 2 r r > 0.1 Cohen et al VIF variance inflation factor 1 / (1 R 2 ) r VIF > 10 r = 0.1 variance inflation factor 20

5 VIF r VIF r VIF cal = bi / { Sf Se / (n p 1)} bi, Xi ; Sf, ; Se, ;, ;, cal n p 1 bi = 0 Xi Xi 1981 cal n p 1 cal R SR Syy R 2 = SR / Syy R 2 R 2 21

6 R 2 R = n 1 SR = Syy R = 1 = 2 2 = 2 = 1 = R 2 = SR / Syy = 1 1 R 2 n p * * 2 = VR / Vyy VR Vyy * * 2 = {( 1)R 2 } / ( 1) R 2 * * 1, 0, 0 0, 1, 0 0, 0, , 10 1, 2 22

7 0, Pearson Spearman Kendall Spearman Kendall 12 3 =( r23 ) / ( )( ) Spearman Kendall Conover Spearman p = y1 2 / {(1 y12 2 ) / (n 3) y Spearman 23

8 distribution free multivariate distribution Conover , Underwood 1997 Semi-partial correlation Lagos et al. 2008, 1, 2, n 1 2, n 1 2, n 1 2, n 2, n 1 1 2, n 1 1 1, 2, n 1, 2, n 1 1 "true effect" "unique contribution" Tabachnick & Fidell 1983, Freckleton 2002 s n q 2 xy s = (xy)q / {{1 (xy)q 2 ) / (n q 2)} 24

9 (xy)q x q x y y1 2 = ( y1 y2 12) / {(1 2y 2 )( )} y y1 1 y(1 2) = ( y1 y2 12) / ( ) y(1 2) 2 1 (1 2y 2 ) 0 < 2y 2 < 1 (1 2y 2 ) 0 1 y1 2 > y(1 2) (xy) 10 2 sr 2 Cohen et al sr 2 "unique contribution" y S % A, B, 1 0 S % 6 25

10 !" #$ %& '( )*+ )*, )*-.) psu A, B A, B 5 S% % "# $ $# *+,- # -. # # $# "# %# &# '# "!$#! & " ' # ( $ )!"# ()*+,

11 5 tolerance 2 P tolerance tolerance 0.3 R / < <

12 A 28

13 Cohen J, Cohen P, West SG, Aiken LS (2003) Applied multiple regression / correlation analysis for the behavioral sciences, 3rd ed. Lawrence Erlbaum 29

14 Associates Publishers Conover WJ (1999) Practical nonparametric statistics, 3rd ed. John Wiley & So Freckleton RP (2002) On the misuse of residuals in ecology: regression of residuals vs. multiple regression. J Anim Ecol, 71, Lagos NA, Castilla JC, Broitman BR (2008) Spatial environmental correlates of intertidal recruitment: a test using barnacles in northern Chile. Ecol Monogr, Argonauta, 13, Tabachnik BG & Fidell LS (1983) Using multivariate statistics. Harper & Row Underwood AJ (1997) Experiments in ecology. Cambridge University Press 30

「スウェーデン企業におけるワーク・ライフ・バランス調査 」報告書

「スウェーデン企業におけるワーク・ライフ・バランス調査 」報告書 1 2004 12 2005 4 5 100 25 3 1 76 2 Demoskop 2 2004 11 24 30 7 2 10 1 2005 1 31 2 4 5 2 3-1-1 3-1-1 Micromediabanken 2005 1 507 1000 55.0 2 77 50 50 /CEO 36.3 37.4 18.1 3-2-1 43.0 34.4 / 17.6 3-2-2 78 79.4

More information

44 4 I (1) ( ) (10 15 ) ( 17 ) ( 3 1 ) (2)

44 4 I (1) ( ) (10 15 ) ( 17 ) ( 3 1 ) (2) (1) I 44 II 45 III 47 IV 52 44 4 I (1) ( ) 1945 8 9 (10 15 ) ( 17 ) ( 3 1 ) (2) 45 II 1 (3) 511 ( 451 1 ) ( ) 365 1 2 512 1 2 365 1 2 363 2 ( ) 3 ( ) ( 451 2 ( 314 1 ) ( 339 1 4 ) 337 2 3 ) 363 (4) 46

More information

i ii i iii iv 1 3 3 10 14 17 17 18 22 23 28 29 31 36 37 39 40 43 48 59 70 75 75 77 90 95 102 107 109 110 118 125 128 130 132 134 48 43 43 51 52 61 61 64 62 124 70 58 3 10 17 29 78 82 85 102 95 109 iii

More information

3_1.dvi

3_1.dvi Vol. 50 No. 3 1144 1155 (Mar. 2009) 1 1, 1 1 1 1, 2 1 source code review was conducted at first, then, unit testing, integration testing, and system testing are done. Results of source code review may

More information

A B C A B C X Y Z

A B C A B C X Y Z Argonauta 8: 27-37 (2003) 1 ANOVA, analysis of variance t 1980 90 ANOVA ANOVA Underwood, 1997 ANOVA ANOVA ANOVA 1975 Sokal & Rohlf 1981 1990 Underwood 1997 1997 Zar 1999 1-way ANOVA 2-way, 3-way, ANOVA,

More information

Use R

Use R Use R! 2008/05/23( ) Index Introduction (GLM) ( ) R. Introduction R,, PLS,,, etc. 2. Correlation coefficient (Pearson s product moment correlation) r = Sxy Sxx Syy :, Sxy, Sxx= X, Syy Y 1.96 95% R cor(x,

More information

i

i 14 i ii iii iv v vi 14 13 86 13 12 28 14 16 14 15 31 (1) 13 12 28 20 (2) (3) 2 (4) (5) 14 14 50 48 3 11 11 22 14 15 10 14 20 21 20 (1) 14 (2) 14 4 (3) (4) (5) 12 12 (6) 14 15 5 6 7 8 9 10 7

More information

第1部 一般的コメント

第1部 一般的コメント (( 2000 11 24 2003 12 31 3122 94 2332 508 26 a () () i ii iii iv (i) (ii) (i) (ii) (iii) (iv) (a) (b)(c)(d) a) / (i) (ii) (iii) (iv) 1996 7 1996 12

More information

第1章 国民年金における無年金

第1章 国民年金における無年金 1 2 3 4 ILO ILO 5 i ii 6 7 8 9 10 ( ) 3 2 ( ) 3 2 2 2 11 20 60 12 1 2 3 4 5 6 7 8 9 10 11 12 13 13 14 15 16 17 14 15 8 16 2003 1 17 18 iii 19 iv 20 21 22 23 24 25 ,,, 26 27 28 29 30 (1) (2) (3) 31 1 20

More information

表1票4.qx4

表1票4.qx4 iii iv v 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 22 23 10 11 24 25 26 27 10 56 28 11 29 30 12 13 14 15 16 17 18 19 2010 2111 22 23 2412 2513 14 31 17 32 18 33 19 34 20 35 21 36 24 37 25 38 2614

More information

- 2 -

- 2 - - 2 - - 3 - (1) (2) (3) (1) - 4 - ~ - 5 - (2) - 6 - (1) (1) - 7 - - 8 - (i) (ii) (iii) (ii) (iii) (ii) 10 - 9 - (3) - 10 - (3) - 11 - - 12 - (1) - 13 - - 14 - (2) - 15 - - 16 - (3) - 17 - - 18 - (4) -

More information

2 1980 8 4 4 4 4 4 3 4 2 4 4 2 4 6 0 0 6 4 2 4 1 2 2 1 4 4 4 2 3 3 3 4 3 4 4 4 4 2 5 5 2 4 4 4 0 3 3 0 9 10 10 9 1 1

2 1980 8 4 4 4 4 4 3 4 2 4 4 2 4 6 0 0 6 4 2 4 1 2 2 1 4 4 4 2 3 3 3 4 3 4 4 4 4 2 5 5 2 4 4 4 0 3 3 0 9 10 10 9 1 1 1 1979 6 24 3 4 4 4 4 3 4 4 2 3 4 4 6 0 0 6 2 4 4 4 3 0 0 3 3 3 4 3 2 4 3? 4 3 4 3 4 4 4 4 3 3 4 4 4 4 2 1 1 2 15 4 4 15 0 1 2 1980 8 4 4 4 4 4 3 4 2 4 4 2 4 6 0 0 6 4 2 4 1 2 2 1 4 4 4 2 3 3 3 4 3 4 4

More information

20 15 14.6 15.3 14.9 15.7 16.0 15.7 13.4 14.5 13.7 14.2 10 10 13 16 19 22 1 70,000 60,000 50,000 40,000 30,000 20,000 10,000 0 2,500 59,862 56,384 2,000 42,662 44,211 40,639 37,323 1,500 33,408 34,472

More information

I? 3 1 3 1.1?................................. 3 1.2?............................... 3 1.3!................................... 3 2 4 2.1........................................ 4 2.2.......................................

More information

1 (1) (2)

1 (1) (2) 1 2 (1) (2) (3) 3-78 - 1 (1) (2) - 79 - i) ii) iii) (3) (4) (5) (6) - 80 - (7) (8) (9) (10) 2 (1) (2) (3) (4) i) - 81 - ii) (a) (b) 3 (1) (2) - 82 - - 83 - - 84 - - 85 - - 86 - (1) (2) (3) (4) (5) (6)

More information

State Committee of Russian Federation on Statistics 1 2 12 State Committee of Russian Federation on Statistics 53

State Committee of Russian Federation on Statistics 1 2 12 State Committee of Russian Federation on Statistics 53 I State Committee of Russian Federation on Statistics 52 State Committee of Russian Federation on Statistics 1 2 12 State Committee of Russian Federation on Statistics 53 State Committee of Russian Federation

More information

エクセルカバー入稿用.indd

エクセルカバー入稿用.indd i 1 1 2 3 5 5 6 7 7 8 9 9 10 11 11 11 12 2 13 13 14 15 15 16 17 17 ii CONTENTS 18 18 21 22 22 24 25 26 27 27 28 29 30 31 32 36 37 40 40 42 43 44 44 46 47 48 iii 48 50 51 52 54 55 59 61 62 64 65 66 67 68

More information

provider_020524_2.PDF

provider_020524_2.PDF 1 1 1 2 2 3 (1) 3 (2) 4 (3) 6 7 7 (1) 8 (2) 21 26 27 27 27 28 31 32 32 36 1 1 2 2 (1) 3 3 4 45 (2) 6 7 5 (3) 6 7 8 (1) ii iii iv 8 * 9 10 11 9 12 10 13 14 15 11 16 17 12 13 18 19 20 (2) 14 21 22 23 24

More information

01_.g.r..

01_.g.r.. I II III IV V VI VII VIII IX X XI I II III IV V I I I II II II I I YS-1 I YS-2 I YS-3 I YS-4 I YS-5 I YS-6 I YS-7 II II YS-1 II YS-2 II YS-3 II YS-4 II YS-5 II YS-6 II YS-7 III III YS-1 III YS-2

More information

「産業上利用することができる発明」の審査の運用指針(案)

「産業上利用することができる発明」の審査の運用指針(案) 1 1.... 2 1.1... 2 2.... 4 2.1... 4 3.... 6 4.... 6 1 1 29 1 29 1 1 1. 2 1 1.1 (1) (2) (3) 1 (4) 2 4 1 2 2 3 4 31 12 5 7 2.2 (5) ( a ) ( b ) 1 3 2 ( c ) (6) 2. 2.1 2.1 (1) 4 ( i ) ( ii ) ( iii ) ( iv)

More information

LET2009

LET2009 Language Education & Technology, 46 (2010) pp. 1 19 Multiple testing of several items or tests: A Monte Carlo simulation study MIZUMOTO, Atsushi University of Marketing and Distribution Sciences This paper

More information

i ii iii iv v vi vii ( ー ー ) ( ) ( ) ( ) ( ) ー ( ) ( ) ー ー ( ) ( ) ( ) ( ) ( ) 13 202 24122783 3622316 (1) (2) (3) (4) 2483 (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) 11 11 2483 13

More information

3 5 18 3 5000 1 2 7 8 120 1 9 1954 29 18 12 30 700 4km 1.5 100 50 6 13 5 99 93 34 17 2 2002 04 14 16 6000 12 57 60 1986 55 3 3 3 500 350 4 5 250 18 19 1590 1591 250 100 500 20 800 20 55 3 3 3 18 19 1590

More information

困ったときのQ&A

困ったときのQ&A ii iii iv NEC Corporation 1997 v P A R T 1 vi vii P A R T 2 viii P A R T 3 ix x xi 1P A R T 2 1 3 4 1 5 6 1 7 8 1 9 1 2 3 4 10 1 11 12 1 13 14 1 1 2 15 16 1 2 1 1 2 3 4 5 17 18 1 2 3 1 19 20 1 21 22 1

More information

untitled

untitled 1 Hitomi s English Tests 1 2 3 4 5 6 7 8 9 10 11 12 13 14 1 1 0 1 1 0 1 0 0 0 1 0 0 1 0 2 0 0 1 1 0 0 0 0 0 1 1 1 1 0 3 1 1 0 0 0 0 1 0 1 0 1 0 1 1 4 1 1 0 1 0 1 1 1 1 0 0 0 1 1 5 1 1 0 1 1 1 1 0 0 1 0

More information

日本経済新聞社編『経済学の巨人危機と闘う─達人が読み解く先人の知恵』

日本経済新聞社編『経済学の巨人危機と闘う─達人が読み解く先人の知恵』 2012 309pp. Yasuo Suzuki / I 2008 4 3-16 1 2 3 174 2013 winter / No.398 4 5 6 7 8 J S 9 10 11 12 13 14 15 16 17 II 9 2011 11 9 9 16 175 6-8 1 1 1 2 7 13 15 10 280 281-286 176 2013 winter / No.398 281 286-298

More information

178 5 I 1 ( ) ( ) 10 3 13 3 1 8891 8 3023 6317 ( 10 1914 7152 ) 16 5 1 ( ) 6 13 3 13 3 8575 3896 8 1715 779 6 (1) 2 7 4 ( 2 ) 13 11 26 12 21 14 11 21

178 5 I 1 ( ) ( ) 10 3 13 3 1 8891 8 3023 6317 ( 10 1914 7152 ) 16 5 1 ( ) 6 13 3 13 3 8575 3896 8 1715 779 6 (1) 2 7 4 ( 2 ) 13 11 26 12 21 14 11 21 I 178 II 180 III ( ) 181 IV 183 V 185 VI 186 178 5 I 1 ( ) ( ) 10 3 13 3 1 8891 8 3023 6317 ( 10 1914 7152 ) 16 5 1 ( ) 6 13 3 13 3 8575 3896 8 1715 779 6 (1) 2 7 4 ( 2 ) 13 11 26 12 21 14 11 21 4 10 (

More information

yamadaiR(cEFA).pdf

yamadaiR(cEFA).pdf R 2012/10/05 Kosugi,E.Koji (Yamadai.R) Categorical Factor Analysis by using R 2012/10/05 1 / 9 Why we use... 3 5 Kosugi,E.Koji (Yamadai.R) Categorical Factor Analysis by using R 2012/10/05 2 / 9 FA vs

More information

ユニセフ表紙_CS6_三.indd

ユニセフ表紙_CS6_三.indd 16 179 97 101 94 121 70 36 30,552 1,042 100 700 61 32 110 41 15 16 13 35 13 7 3,173 41 1 4,700 77 97 81 47 25 26 24 40 22 14 39,208 952 25 5,290 71 73 x 99 185 9 3 3 3 8 2 1 79 0 d 1 226 167 175 159 133

More information

untitled

untitled 1998 6 25 ( ) 1 10 1982 10 28 37/7 1990 12 14 45/94 (WHO) 1 1989 12 8 NGO (ECE) 3 1995 10 25 ECE 1991 2 25 1992 3 17 1998 6 4 1 2 1. 2. a b c (a) (b) d 17 3. a b (a) c (b) 4. 5. 3 1. 2. 3. 4. 5. 6. 7.

More information

1-1 - 2 3-2 - - 3 - i - 4 - ii - 5 - c - 6 - 4 1-7 - 2 1-8 - 2-9 - - 10 - - 11 - - 12 - - 13 - - 14 - - 15 - - 16 - - 17 - 3-18 - - 19 - - 20 - - 21 - - 22 - - 23 - iii i - 24 - - 25 - - 26 - 4-27 - 5

More information

i

i i ii iii iv v vi vii viii ix x xi ( ) 854.3 700.9 10 200 3,126.9 162.3 100.6 18.3 26.5 5.6/s ( ) ( ) 1949 8 12 () () ア イ ウ ) ) () () () () BC () () (

More information

パソコン機能ガイド

パソコン機能ガイド PART12 ii iii iv v 1 2 3 4 5 vi vii viii ix P A R T 1 x P A R T 2 xi P A R T 3 xii xiii P A R T 1 2 3 1 4 5 1 6 1 1 2 7 1 2 8 1 9 10 1 11 12 1 13 1 2 3 4 14 1 15 1 2 3 16 4 1 1 2 3 17 18 1 19 20 1 1

More information

パソコン機能ガイド

パソコン機能ガイド PART2 iii ii iv v 1 2 3 4 5 vi vii viii ix P A R T 1 x P A R T 2 xi P A R T 3 xii xiii P A R T 1 2 1 3 4 1 5 6 1 2 1 1 2 7 8 9 1 10 1 11 12 1 13 1 2 3 14 4 1 1 2 3 15 16 1 17 1 18 1 1 2 19 20 1 21 1 22

More information

1... 1 2... 1 1... 1 2... 2 3... 2 4... 4 5... 4 6... 4 7... 22 8... 22 3... 22 1... 22 2... 23 3... 23 4... 24 5... 24 6... 25 7... 31 8... 32 9... 3

1... 1 2... 1 1... 1 2... 2 3... 2 4... 4 5... 4 6... 4 7... 22 8... 22 3... 22 1... 22 2... 23 3... 23 4... 24 5... 24 6... 25 7... 31 8... 32 9... 3 3 2620149 3 6 3 2 198812 21/ 198812 21 1 3 4 5 JISJIS X 0208 : 1997 JIS 4 JIS X 0213:2004 http://www.pref.hiroshima.lg.jp/site/monjokan/ 1... 1 2... 1 1... 1 2... 2 3... 2 4... 4 5... 4 6... 4 7... 22

More information

Microsoft Word - Power_Analysis_Jp_ docx

Microsoft Word - Power_Analysis_Jp_ docx Power Analysis using G*Power Version 1.0 013 年 3 月 03 日 評価学博士 佐々木亮 サンプルサイズの検討方法 1. 最低のサンプルサイズサンプルサイズに関する考え方 統計分析を用いた調査報告書では サンプルサイズとして 30 あるいは 5 を用いている場合が頻繁に見られる 事前 事後比較のための 1 群の t 検定では まさに 30 あるいは 5 が必要ということになり

More information

untitled

untitled i ii iii iv v 43 43 vi 43 vii T+1 T+2 1 viii 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 a) ( ) b) ( ) 51

More information

AccessflÌfl—−ÇŠš1

AccessflÌfl—−ÇŠš1 ACCESS ACCESS i ii ACCESS iii iv ACCESS v vi ACCESS CONTENTS ACCESS CONTENTS ACCESS 1 ACCESS 1 2 ACCESS 3 1 4 ACCESS 5 1 6 ACCESS 7 1 8 9 ACCESS 10 1 ACCESS 11 1 12 ACCESS 13 1 14 ACCESS 15 1 v 16 ACCESS

More information

2

2 1 2 3 4 5 6 7 8 9 10 I II III 11 IV 12 V 13 VI VII 14 VIII. 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 _ 33 _ 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 VII 51 52 53 54 55 56 57 58 59

More information

262014 3 1 1 6 3 2 198810 2/ 198810 2 1 3 4 http://www.pref.hiroshima.lg.jp/site/monjokan/ 1... 1... 1... 2... 2... 4... 5... 9... 9... 10... 10... 10... 10... 13 2... 13 3... 15... 15... 15... 16 4...

More information

パーソナリティ研究 2005 第13巻 第2号 170–182

パーソナリティ研究 2005 第13巻 第2号 170–182 2005 13 2 170 182 2005 1) I 23 567 8 3 6 1701 59 13 II 5 3 6 224 8.93.46.85 814 IRT III 3 38 3 35 3 2002 1) 2004 (1999) Buss & Perry (1992) 29 16 45 1125 7 38.40.40 3 6 (BAQ) BAQ (physical aggression)

More information

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 () - 1 - - 2 - - 3 - - 4 - - 5 - 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57

More information

™…

™… i 1 1 1 2 3 5 5 6 7 9 10 11 13 13 14 15 15 16 17 18 20 20 20 21 22 ii CONTENTS 23 24 26 27 2 31 31 32 32 33 34 37 37 38 39 39 40 42 42 43 44 45 48 50 51 51 iii 54 57 58 60 60 62 64 64 67 69 70 iv 70 71

More information

untitled

untitled 20 7 1 22 7 1 1 2 3 7 8 9 10 11 13 14 15 17 18 19 21 22 - 1 - - 2 - - 3 - - 4 - 50 200 50 200-5 - 50 200 50 200 50 200 - 6 - - 7 - () - 8 - (XY) - 9 - 112-10 - - 11 - - 12 - - 13 - - 14 - - 15 - - 16 -

More information

untitled

untitled 19 1 19 19 3 8 1 19 1 61 2 479 1965 64 1237 148 1272 58 183 X 1 X 2 12 2 15 A B 5 18 B 29 X 1 12 10 31 A 1 58 Y B 14 1 25 3 31 1 5 5 15 Y B 1 232 Y B 1 4235 14 11 8 5350 2409 X 1 15 10 10 B Y Y 2 X 1 X

More information

FP....10

FP....10 10 11 1 2 3 4 5 6 12 123 4 1 2 3 4 2 1 13 23 14 Nofsinger, John R., The Psychology of Investing, First Edition, Pearson Education Inc Shefrin, H., Beyond Greed And Fear : Understanding Behavioral Finance

More information

活用ガイド (ハードウェア編)

活用ガイド (ハードウェア編) (Windows 98) 808-877675-122-A ii iii iv NEC Corporation 1999 v vi PART 1 vii viii PART 2 PART 3 ix x xi xii P A R T 1 2 1 3 4 1 5 6 1 7 8 1 9 10 11 1 12 1 1 2 3 13 1 2 3 14 4 5 1 15 1 1 16 1 17 18 1 19

More information

- - - - - - - - - - - - - - - - - - - - - - - - - -1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -2...2...3...4...4...4...5...6...7...8...

- - - - - - - - - - - - - - - - - - - - - - - - - -1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -2...2...3...4...4...4...5...6...7...8... 取 扱 説 明 書 - - - - - - - - - - - - - - - - - - - - - - - - - -1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -2...2...3...4...4...4...5...6...7...8...9...11 - - - - - - - - - - - - - - - - -

More information

ito.dvi

ito.dvi 1 2 1006 214 542 160 120 160 1 1916 49 1710 55 1716 1 2 1995 1 2 3 4 2 3 1950 1973 1969 1989 1 4 3 3.1 3.1.1 1989 2 3.1.2 214 542 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27

More information

ユニセフ表紙_CS6_三.indd

ユニセフ表紙_CS6_三.indd 16 179 97 101 94 121 70 36 30,552 1,042 100 700 61 32 110 41 15 16 13 35 13 7 3,173 41 1 4,700 77 97 81 47 25 26 24 40 22 14 39,208 952 25 5,290 71 73 x 99 185 9 3 3 3 8 2 1 79 0 d 1 226 167 175 159 133

More information

86 7 I ( 13 ) II ( )

86 7 I ( 13 ) II ( ) 10 I 86 II 86 III 89 IV 92 V 2001 93 VI 95 86 7 I 2001 6 12 10 2001 ( 13 ) 10 66 2000 2001 4 100 1 3000 II 1988 1990 1991 ( ) 500 1994 2 87 1 1994 2 1000 1000 1000 2 1994 12 21 1000 700 5 800 ( 97 ) 1000

More information

入門ガイド

入門ガイド ii iii iv NEC Corporation 1998 v P A R 1 P A R 2 P A R 3 T T T vi P A R T 4 P A R T 5 P A R T 6 P A R T 7 vii 1P A R T 1 2 2 1 3 1 4 1 1 5 2 3 6 4 1 7 1 2 3 8 1 1 2 3 9 1 2 10 1 1 2 11 3 12 1 2 1 3 4 13

More information

7 i 7 1 2 3 4 5 6 ii 7 8 9 10 11 1 12 13 14 iii.......................................... iv................................................ 21... 1 v 3 6 7 3 vi vii viii ix x xi xii xiii xiv xv 26 27

More information

9 i 9 1 2 3 4 5 6 ii 7 8 9 10 11 12 .......................................... iii ... 1... 1........................................ 9 iv... v 3 8 9 3 vi vii viii ix x xi xii xiii xiv 34 35 22 1 2 1

More information

i ii iii iv v vi vii viii ix x xi xii xiii xiv xv xvi 2 3 4 5 6 7 $ 8 9 10 11 12 13 14 15 16 17 $ $ $ 18 19 $ 20 21 22 23 24 25 26 27 $$ 28 29 30 31 $ $ $ 32 33 34 $ 35 $ 36 $ 37 38 39 40 $ 41 42 43 44

More information

A B A E

A B A E 10533-68-3955 10533-68-3955 10533-68-3804 RP A-6 10533-68-3804 10533-69-9615 10533-57-2161 B-2 10533-68-2274 10533-68-2221 10533-67-6282 A-6 10533-57-2161 E-3 10533-68-5161 10533-68-3553 D-2 D-2 10533-69-5258

More information

SC-85X2取説

SC-85X2取説 I II III IV V VI .................. VII VIII IX X 1-1 1-2 1-3 1-4 ( ) 1-5 1-6 2-1 2-2 3-1 3-2 3-3 8 3-4 3-5 3-6 3-7 ) ) - - 3-8 3-9 4-1 4-2 4-3 4-4 4-5 4-6 5-1 5-2 5-3 5-4 5-5 5-6 5-7 5-8 5-9 5-10 5-11

More information

Microsoft Word - Šv”|“Å‘I.DOC

Microsoft Word - Šv”|“Å‘I.DOC 90 ª ª * E-mailshinobu.nakagawa@boj.or.jp i ii iii iv SNA 1 70 80 2 80 90 80 80 90 1 80 90 98 6 1 1 SNA 2 1 SNA 80 1SNA 1 19931998 1 2-190 1,2 2 2-2 2-3,4 3 2-5 4 2030 2-3 3 2-15 97 20 90 2-15 9198 1.

More information

<4D6963726F736F667420506F776572506F696E74202D208376838C835B83938365815B835683878393312E707074205B8CDD8AB78382815B83685D>

<4D6963726F736F667420506F776572506F696E74202D208376838C835B83938365815B835683878393312E707074205B8CDD8AB78382815B83685D> i i vi ii iii iv v vi vii viii ix 2 3 4 5 6 7 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

More information

1 10 1113 14 1516 1719 20 21 22 2324 25 2627 i 2829 30 31 32 33 3437 38 3941 42 4344 4547 48 4950 5152 53 5455 ii 56 5758 59 6061 iii 1 2 3 4 5 6 7 8 9 10 PFI 30 20 10 PFI 11 12 13 14 15 10 11 16 (1) 17

More information

困ったときのQ&A

困ったときのQ&A ii iii iv NEC Corporation 1998 v C O N T E N T S PART 1 vi vii viii ix x xi xii PART 2 xiii PART 3 xiv P A R T 1 3 1 2 PART 3 4 2 1 1 2 4 3 PART 1 4 5 5 6 PART 1 7 8 PART 1 9 1 2 3 1 2 3 10 PART 1 1 2

More information

Microsoft Word - StatsDirectMA Web ver. 2.0.doc

Microsoft Word - StatsDirectMA Web ver. 2.0.doc Web version. 2.0 15 May 2006 StatsDirect ver. 2.0 15 May 2006 2 2 2 Meta-Analysis for Beginners by using the StatsDirect ver. 2.0 15 May 2006 Yukari KAMIJIMA 1), Ataru IGARASHI 2), Kiichiro TSUTANI 2)

More information

iii iv v vi 21 A B A B C C 1 1 2 3 4 5 6 1 2 3 4 5 6 7 8 9 10 11 19 22 30 39 43 48 54 60 65 74 77 84 87 89 95 101 12 20 23 31 40 44 49 55 61 66 75 78 85 88 90 96 102 13 21 24 32 41 45 50 56 62 67 76 79

More information

dy = sin cos y cos () y () 1 y = sin 1 + c 1 e sin (3) y() () y() y( 0 ) = y 0 y 1 1. (1) d (1) y = f(, y) (4) i y y i+1 y i+1 = y( i + ) = y i

dy = sin cos y cos () y () 1 y = sin 1 + c 1 e sin (3) y() () y() y( 0 ) = y 0 y 1 1. (1) d (1) y = f(, y) (4) i y y i+1 y i+1 = y( i + ) = y i 007 8 8 4 1 1.1 ( ) (partial differential equation) (ordinary differential equation) 1 dy = f(, y) (1) 1 1 y() (1) y() (, y) 1 dy = sin cos y cos () y () 1 y = sin 1 + c 1 e sin (3) 1 1 5 y() () y() y(

More information

untitled

untitled 23 12 10 12:55 ~ 18:45 KKR Tel0557-85-2000 FAX0557-85-6604 12:55~13:00 13:00~13:38 I 1) 13:00~13:12 2) 13:13~13:25 3) 13:26~13:38 13:39~14:17 II 4) 13:39~13:51 5) 13:52 ~ 14:04 6) 14:05 ~ 14:17 14:18 ~

More information

untitled

untitled No. NATIONAL INSTITUTE OF VOCATIONAL REHABILITATION 14 26 3 1 2 ... 1... 3... 5... 5... 6 1... 9... 9... 10... 16... 18... 18... 18... 18... 21... 22... 22... 27... 27... 31... 31... 31... 33... 37...

More information

=

= 2. 2.1 2.2 kuri@ice.uec.ac.jp ( 2007/10/30/16:46) 1 . 1. 1 + 2 = 5. 2. 180. 3. 3 3. 4.. 5.. 2 2.1 1.,,,,. 2., ( ) ( ).,,,, 3.,. 4.,,,. 3 1.,. 1. 1 + 2 = 5. (, ) 2. 180. (, ) 3. 3, 3. (, ) 4.. (, ) 5..

More information

o 2o 3o 3 1. I o 3. 1o 2o 31. I 3o PDF Adobe Reader 4o 2 1o I 2o 3o 4o 5o 6o 7o 2197/ o 1o 1 1o

o 2o 3o 3 1. I o 3. 1o 2o 31. I 3o PDF Adobe Reader 4o 2 1o I 2o 3o 4o 5o 6o 7o 2197/ o 1o 1 1o 78 2 78... 2 22201011... 4... 9... 7... 29 1 1214 2 7 1 8 2 2 3 1 2 1o 2o 3o 3 1. I 1124 4o 3. 1o 2o 31. I 3o PDF Adobe Reader 4o 2 1o 72 1. I 2o 3o 4o 5o 6o 7o 2197/6 9. 9 8o 1o 1 1o 2o / 3o 4o 5o 6o

More information