TERMIUM Plus^®

Fiche 1,  Justifications,  Anglais

Record number: 1, Textual support number: 1 DEF

The proportion of the total phenotypic variance that is due to additive genetic variability.  3, fiche 1, Anglais, - narrow%2Dsense%20heritability

Record number: 1, Textual support number: 1 OBS

Heritability is a measure of the amount of genetic variability, excluding that expressed by heterozygotes, and decreases with an increasing environmental component of variance for the character under observation.  3, fiche 1, Anglais, - narrow%2Dsense%20heritability

Record number: 1, Textual support number: 2 OBS

The symbol h2N should read h exponent 2 N.  4, fiche 1, Anglais, - narrow%2Dsense%20heritability

Fiche 1,  Justifications,  Français

Record number: 1, Textual support number: 1 CONT

Le symbole utilisé pour désigner l'héritabilité est h2, même s'il s'agit d'un rapport plutôt que du carré d'une quantité. Traditionnellement, h sert à exprimer la racine carrée de h2 lorsque c'est nécessaire. L'héritabilité au sens étroit (Vad/Vp) est implicite, à moins que le contexte ne le précise autrement. À l'occasion, on utilise des indices pour les distinguer : soit hé2 pour héritabilité au sens étroit et hl2 pour héritabilité au sens large.  1, fiche 1, Français, - h%C3%A9ritabilit%C3%A9%20au%20sens%20%C3%A9troit

Record number: 1, Textual support number: 1 OBS

Le symbole «hé2» se lit h indice é exposant 2.  2, fiche 1, Français, - h%C3%A9ritabilit%C3%A9%20au%20sens%20%C3%A9troit

Fiche 1,  Justifications,  Espagnol

Record number: 1, Textual support number: 1 DEF

Proporción de la varianza fenotípica atribuible a la varianza genética aditiva.  1, fiche 1, Espagnol, - heredabilidad%20en%20sentido%20estricto

Fiche 2,  Justifications,  Anglais

Record number: 2, Textual support number: 1 CONT

The PCA(principal components analysis) was performed to reduce the 240-intercorrelated weather variables into a small number of linearly independent component variables, which explain much of the variance within the original dataset. Component loadings were calculated, which express the correlation between the original weather variables and the newly formed components. The number of principal components, of which the eigenvalue was greater than one, was retained to calculate component scores. Days with similar meteorological situations tend to exhibit approximately similar component scores.  1, fiche 2, Anglais, - component%20variable

Fiche 2,  Justifications,  Français

Record number: 2, Textual support number: 1 CONT

On calcule les corrélations entre les variables initiales et les variables composantes principales [...]  1, fiche 2, Français, - variable%20composante

Fiche 2,  Justifications,  Espagnol

Fiche 3,  Justifications,  Anglais

Record number: 3, Textual support number: 1 CONT

Principal components analysis(PCA) is a widely used multivariate analysis method, the general aim of which is to reveal systematic covariations among a group of variables.... there are a number of... properties of the components that can be derived :-variances of each component, and the proportion of the total variance of the original variables are given by the eigenvalues;-component scores may be calculated, that illustrate the value of each component at each observation;-component loadings that describe the correlation between each component and each variable may also be obtained;...  3, fiche 3, Anglais, - component%20loading

Record number: 3, Textual support number: 2 CONT

The PCA(principal components analysis) was performed to reduce the 240-intercorrelated weather variables into a small number of linearly independent component variables, which explain much of the variance within the original dataset. Component loadings were calculated, which express the correlation between the original weather variables and the newly formed components. The number of principal components, of which the eigenvalue was greater than one, was retained to calculate component scores. Days with similar meteorological situations tend to exhibit approximately similar component scores.  4, fiche 3, Anglais, - component%20loading

Record number: 3, Textual support number: 3 CONT

If you perform a principal components analysis on a correlation matrix in SYSTAT, there are a number of relationships between component loadings, factor scores and eigenvalues that might be of interest in your analysis.  5, fiche 3, Anglais, - component%20loading

Fiche 3,  Justifications,  Français

Record number: 3, Textual support number: 1 OBS

Obtenir des données numériques relatives à l'ACP [analyse en composantes principales]. La fenêtre session affiche les valeurs propres et les «loadings» ou «coefficients des variables». On peut obtenir les scores des individus en utilisant le bouton «Stockage» de la fenêtre de dialogue de l'ACP.  2, fiche 3, Français, - poids%20d%27une%20variable%20composante

Record number: 3, Textual support number: 2 OBS

La matrice suivante est identifiée par SPSS [nom d'un logiciel d'analyse] comme étant la «Factor Matrix» et elle correspond à la matrice des poids factoriels («factor loadings») avant rotation.  3, fiche 3, Français, - poids%20d%27une%20variable%20composante

Record number: 3, Textual support number: 3 OBS

Analyse en composantes principales. [...] faites défiler l'écran vers les résumés contenant les coordonnées, parfois appelées poids («loadings»). Les coordonnées informent sur le degré de corrélation entre les composantes (en colonnes) et les bandes originelles (en lignes).  4, fiche 3, Français, - poids%20d%27une%20variable%20composante

Record number: 3, Textual support number: 4 OBS

Saturation a_ij [(en anglais :] «factor loading») : Corrélation entre une variable originale i et une composante j, indique le poids de chaque variable dans la composante ou (une fois mise au carré) la proportion de variance partagée. Chaque composante est donc interprétée d'après les variables originales avec lesquelles elle présente de fortes saturations (ou partage beaucoup de variance), en tenant compte de leur force et de leur direction. L'interprétation se base en général sur les saturations après rotation.  5, fiche 3, Français, - poids%20d%27une%20variable%20composante

Fiche 3,  Justifications,  Espagnol

Fiche 4,  Justifications,  Anglais

Record number: 4, Textual support number: 1 CONT

Principal components analysis(PCA) is a widely used multivariate analysis method, the general aim of which is to reveal systematic covariations among a group of variables.... there are a number of... properties of the components that can be derived :-variances of each component, and the proportion of the total variance of the original variables are are given by the eigenvalues;-component scores may be calculated, that illustrate the value of each component at each observation;-component loadings that describe the correlation between each component and each variable may also be obtained;...  1, fiche 4, Anglais, - component%20score

Record number: 4, Textual support number: 2 CONT

The PCA(principal components analysis) was performed to reduce the 240-intercorrelated weather variables into a small number of linearly independent component variables, which explain much of the variance within the original dataset. Component loadings were calculated, which express the correlation between the original weather variables and the newly formed components. The number of principal components, of which the eigenvalue was greater than one, was retained to calculate component scores. Days with similar meteorological situations tend to exhibit approximately similar component scores.  2, fiche 4, Anglais, - component%20score

Record number: 4, Textual support number: 1 OBS

If you perform a principal components analysis on a correlation matrix in SYSTAT, there are a number of relationships between component loadings, factor scores and eigenvalues that might be of interest in your analysis.  3, fiche 4, Anglais, - component%20score

Fiche 4,  Justifications,  Français

Record number: 4, Textual support number: 1 OBS

Obtenir des données numériques relatives à l'ACP [analyse en composantes principales]. La fenêtre session affiche les valeurs propres et les «loadings» ou «coefficients des variables». On peut obtenir les scores des individus en utilisant le bouton «Stockage» de la fenêtre de dialogue de l'ACP.  2, fiche 4, Français, - score%20d%27une%20variable%20composante

Record number: 4, Textual support number: 2 OBS

L'analyse en composantes principales (ACP) est une technique mathématique permettant de réduire un système complexe de corrélations en un plus petit nombre de dimensions. [...] Les scores des sujets peuvent également être calculés. Il s'agit en fait de leurs coordonnées dans l'espace décrit par les facteurs. Le tableau suivant fournit les scores factoriels (ou factorisés) de chacun des individus avant et après rotation.  3, fiche 4, Français, - score%20d%27une%20variable%20composante

Fiche 4,  Justifications,  Espagnol

Fiche 5,  Justifications,  Anglais

Record number: 5, Textual support number: 1 CONT

The component scores for each day are computed and the 2873 by 6 data matrix are used in the clustering analysis. To determine the number of clusters that are [used] in the k-means procedure, the pseudo-F and pseudo-T2 statistics are used as guide lines(Davis and Kalkstein, 1990). The pseudo-F statistic describes the ratio of between cluster variance to within cluster variance. Peaks in the pseudo-F statistic are indicators of greater cluster separation. Pseudo-T2 quantifies the difference between the two clusters that are merged at a given step. Thus, if a given cluster(k) solution gives a jump in the pseudo-T2 statistic, than the k+1 cluster solution in selected as the optimal cluster. Any cluster represented with more than 20 percent of the total number of days would then be sub-clustered.  1, fiche 5, Anglais, - pseudo%2DF%20statistic

Fiche 5,  Justifications,  Français

Record number: 5, Textual support number: 1 CONT

À chaque permutation, une matrice de variables ajustées a été obtenue de par application de la procédure de régression [choisie]. Une statistique pseudo-F a été calculée pour chacune des matrices permutées [...]  1, fiche 5, Français, - statistique%20pseudo%2DF

Fiche 5,  Justifications,  Espagnol

Fiche 6,  Justifications,  Anglais

Record number: 6, Textual support number: 1 CONT

Factor scores ... need to be weighted. Otherwise, the variables which have high loadings on less important factors will have the same impact in the cluster analysis as variables which load highly on important factors.  1, fiche 6, Anglais, - load%20highly

Record number: 6, Textual support number: 2 CONT

The PCA [principal component analysis] was applied to the 240 weather variables for all days within the winter season from 1958/59 to 2000/2001 for 15 Canadian and 12 U. S. stations, producing an 18-component solution that explains 91% of the total variance in the original dataset. The remainder of the components with eigenvalues less than one were discarded. The thermal and moisture variables, air temperature and dew point temperature, load highly on Component 1, explaining over 36% of the total variance.  2, fiche 6, Anglais, - load%20highly

Record number: 6, Textual support number: 1 OBS

See also the record for "component loading" for more information on the concept of statistical loading.  3, fiche 6, Anglais, - load%20highly

Fiche 6,  Justifications,  Français

Record number: 6, Textual support number: 1 CONT

L'utilisation de la corrélation ou de la régression [...] informe [...] du comportement de deux ou plus variables entre elles. [...] Seront retenues les variables qui montrent un lien suffisant avec la variable dépendante. (Par exemple celles qui ont un fort coefficient de corrélation ou une signification statistique convenable.)  1, fiche 6, Français, - avoir%20un%20fort%20coefficient%20de%20corr%C3%A9lation

Record number: 6, Textual support number: 1 OBS

Dans les analyses en composantes principales on parle des «coordonnées», du «poids» ou des «coefficients» des variables pour rendre la notion de «loading». Voir la fiche «component loading» pour obtenir plus de renseignements sur cette notion.  2, fiche 6, Français, - avoir%20un%20fort%20coefficient%20de%20corr%C3%A9lation

Fiche 6,  Justifications,  Espagnol