Normality

discriminante pour le credit scoring ainsi que les réseaux de neurones, les modèles de durées de vie, les arbres de décision et les machines à support vectoriel par exemple. 27 B IBLIOGRAPHIE [1] BERA, A.K. & JARQUE, C.M., 1987, A Test for Normality of Observations and Regression Residuals, International Statistical Review, 55, 163-172. [2] BOX, G.E.P. & COX, D.R., 1964, An Analysis of Transformations, Journal of the Royal Statistical Society, 26, 211-243. [3] CARTER HILL, R., GRIFFITHS, W.E

statistical methods and variable sets”, Journal of Accounting and Public Policy 2, 1983, pp. 289-307. Jones F., “Current techniques in bankruptcy predicting”, Journal of Accounting Literature n° 6, 1987, pp. 131164. Karels G., & Prakash A., “Multivariate normality and forecasting of business bankruptcy”, Journal of Business Finance Accounting, Winter 1987, 573-593. Neter J., Kutner M., Nachtsheim C. et Wasserman W., Applied Linear Statistical Models, McGraw-Hil, 1996, 1408 p. de Polignac (J.-F), La notation

d’emballage) permet d’être certain de l’existence de causes de problèmes différentes suivant les emballages. 0 0 ® 30 40 2 95% Confidence Intervals 20 50 4 10 30 40 11,0 11,5 95% Confidence Intervals 20 12,0 50 Anderson-Darling Normality Test A-Squared 2,45 P-Value < 0,005 Mean 11,500 St Dev 3,736 Variance 13,960 Skewness 0,587995 Kurtosis 0,331267 N 200 Minimum 2,000 1st Quartile 9,000 Median 11,000 3rd Quartile 13,750 Maximum 24,0000 95% Confidence Interval for Mean 10,979 12,021

Durbin-Watson statistic Breusch/Godfrey LM : AR/MA1 Breusch/Godfrey LM : AR/MA2 Ljung-Box Q-statistic1 Ljung-Box Q-statistic2 Wald nonlin. AR1 vs. lags ARCH test CuSum test CuSumSq test Chow test LR het. test (w/ Chow) White het. test Jarque-Bera normality test F-statistic (zero slopes) Akaike Information Crit. Schwarz Bayes. Info. Crit. Log of likelihood function Variable C DLY DLP Estimated Coefficient .016282 .696020 -.136783 = = = = = = = = = = = = = = = = = 1.95346 .111487E-02 [.973] .113874

moves and conflicts should be specified. ý (p. 160). ` ´ ´ La deuxieme idee que nous retenons est que le constat d’une diversite ˆ d’institutions ou de formes de gouvernance qui coexistent dans un meme ´ ´` ` contexte donne (Crouch refere a ß The normality of hybrid governance ý , ` ´ ´ p. 120) devrait nous conduire a vouloir comprendre leurs specificites ˆ ` ` et leur dynamique propre plutot qu’a chercher a les inscrire dans ´ ´ ´ une coherence d’ensemble suivant le concept de complementarite ´ institutionnelle

achieved a degree of success in taking and restoring control over the reform movement of Czechoslovakia both on domestic and national levels. “Normalization” was in general achieved in Czechoslovakia. The crises of 1968 were successfully overcome and “normality” restored. But the fundamental causes which led to the Czechoslovak crises and the need for intervention was not totally eradicated. Nor was it at all certain that the Soviet concept of integration, which does appeared to eradicate those causes.

especially in their early phase. In this study, the long-term follow-up performed by a neurologist specialized in movement disorders allowed us to relate all the studies, including those with poor interobserver reproducibility, to a diagnosis of either normality or abnormality. The wide range of individual observers’ scores suggests important differences in observers’ sensitivities, which might have contributed to the poor reproducibility observed in our study. In this study, the use of the Internet was

nevládne svojmu telu, poddáva sa comusi neznámemu a neosobnému (niecomu, co je vel'mi blízke Levinasovmu Il y a) a zároven sa akoby pokúša uvedomenie tejto skutocnosti popierat. Vracia sa do hotela, ktorý v podstate predstavuje urcitú oblast sociálnej "normality". Vzhladom na to, že hranicnú skúsenost prežíva velmi intenzívne a tá akoby rekonfiguruje jeho subjektívne pocity reálnosti sveta, ale aj preto, že prekracuje racionálnu jazykovú skladbu (,,Jeho vlastný pohlad donho vstupoval formou obrazu až do

008 ,250 -,213 ,250 ,051 ,250 -,644 ,250 -,601 ,250 -,034 ,250 -,057 ,250 -,203 ,250 Kurtosis Statistic Std. Error -,430 ,495 ,123 ,495 -,076 ,495 -,514 ,495 ,192 ,495 -,173 ,495 ,571 ,495 ,316 ,495 -,368 ,495 -,741 ,495 -,191 ,495 A.3 Tests of Normality Confiance Economique Luxe Valorisant Jeune Sécurité Simplicité Raison Garantie Innovateur Pratique Kolmogorov-Smirnov(a) Statistic df Sig. ,254 93 ,000 ,339 93 ,000 ,263 93 ,000 ,228 93 ,000 ,247 93 ,000 ,274 93 ,000 ,251 93 ,000 ,262 93 ,000

Sigma Mean Median 4 Anderson-Darling Normality Test A-Squared 9,33 P-Value < 0,005 Mean 2,9750 St Dev 4,5224 Variance 21,3665 Skewness 1,90535 Kurtosis 4,52040 N 80 Minimum 0,0000 1st Quartile 0,0000 Median 0,0000 3rd Quartile 5,0000 Maximum 24,0000 95% Confidence Interval for Mean 1,9463 4,0037 95% Confidence Interval for Median 0,0000 3,0000 95% Confidence Interval for StDev 4,0005 5,4751 95% Confidence Intervals Anderson-Darling Normality Test A-Squared 65,61 P-Value < 0,005 Mean 3