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Record 1,  Textual support,  English

Record number: 1, Textual support number: 1 CONT

Monothetic clustering is a divisive clustering method that uses a hierarchical, recursive partitioning of multivariate responses based on binary decision rules that are built from individual response variables... Based on the ideas of classification and regression trees, a monothetic clustering algorithm was implemented... to allow further explorations and modifications.  2, record 1, English, - monothetic%20clustering%20algorithm

Record 1,  Textual support,  French

Record 1,  Textual support,  Spanish

Record 2,  Textual support,  English

Record number: 2, Textual support number: 1 OBS

In each catch, the fish are kept apart and are not released until the end of the last catch. This method leads to a depletion of the population number, which means that the number of fish caught in each catch will decrease. This makes it possible to make a linear regression between the number of fish caught in each catch(Y-axis) and accumulated number of fishes caught in the previous catches(X-axis). Like this, one can make a population estimate by calculating the intercept with the X-axis.  1, record 2, English, - de%20Lury%20catch%2Ddepletion%20system

Record 2,  Textual support,  French

Record number: 2, Textual support number: 1 CONT

[…] les inventaires sont réalisés selon la méthode par épuisement de De Lury [qui] consiste à effectuer deux passages successifs, sans remettre les espèces à l'eau. La biométrie des poissons capturés lors du premier passage est dissociée de celle du second.  2, record 2, French, - m%C3%A9thode%20par%20%C3%A9puisement%20de%20De%20Lury

Record number: 2, Textual support number: 1 OBS

[La méthode] consiste à effectuer plusieurs pêches successives au même endroit avec un effort de pêche constant en vue d'évaluer un stock monospécifique.  3, record 2, French, - m%C3%A9thode%20par%20%C3%A9puisement%20de%20De%20Lury

Record 2,  Textual support,  Spanish

Record number: 2, Textual support number: 1 CONT

Las poblaciones de vieria (Aequipecten tehuelchus) fueron evaluadas mediante campañas de pesca experimental entre los años 1983 y 1985, utilizando los métodos de agotamiento de Leslie y DeLury.  1, record 2, Spanish, - m%C3%A9todo%20de%20agotamiento%20de%20DeLury

Record 3,  Textual support,  English

Record number: 3, Textual support number: 1 CONT

For regression type models..., Akaike information criterion(AIC) is commonly used as a quantitative, non-subjective method for selecting the best model from a number of candidate models by penalizing complexity in model fitting...  2, record 3, English, - Akaike%20information%20criterion

Record 3,  Textual support,  French

Record number: 3, Textual support number: 1 CONT

Pour les modèles de type régressif [...], le critère d'information d'Akaike (AIC) est couramment utilisé comme méthode quantitative et non subjective pour choisir le meilleur modèle parmi un certain nombre de modèles candidats en pénalisant la complexité de l'ajustement du modèle [...]  2, record 3, French, - crit%C3%A8re%20d%27information%20d%27Akaike

Record 3,  Textual support,  Spanish

Record 4,  Textual support,  English

Record number: 4, Textual support number: 1 CONT

In statistics, regression analysis is a method for explanation of phenomena and prediction of future events. In the regression analysis, a coefficient of correlation r between random variables X and Y is a quantitative index of association between these two variables. In its squared form, as a coefficient of determination r 2, indicates the amount of variance in the criterion variable Y that is accounted for by the variation in the predictor variable X. In the multiple regression analysis, the set of predictor variables X1, X2,... is used to explain variability of the criterion variable Y. A multivariate counterpart of the coefficient of determination r 2 is the coefficient of multiple determination, R 2. The square root of the coefficient of multiple determination is the coefficient of multiple correlation, R.  2, record 4, English, - multiple%20determination

Record 4,  Textual support,  French

Record number: 4, Textual support number: 1 CONT

Corrélation multiple. Dans statistiques, analyse de régression est une méthode pour l'explication des phénomènes et la prévision de futurs événements. Dans l'analyse de régression, a coefficient de corrélation r entre variables aléatoires X et Y est un index quantitatif d'association entre ces deux variables. Sous sa forme carrée, comme a coefficient de détermination r2, indique la quantité de désaccord dans le critère de variable Y cela est expliqué par la variation de la variable de facteur prédictif X. Dans l'analyse de régression multiple, l'ensemble de variables de facteur prédictif X1, X2, ... est employé pour expliquer la variabilité du critère de variable Y. Contre-parties multivariables du coefficient de détermination r2 est le coefficient de détermination multiple, R2. racine carrée du coefficient de détermination multiple est le coefficient de corrélation multiple, R.  2, record 4, French, - d%C3%A9termination%20multiple

Record 4,  Textual support,  Spanish

Record 5,  Textual support,  English

Record number: 5, Textual support number: 1 CONT

In statistics, regression analysis is a method for explanation of phenomena and prediction of future events. In the regression analysis, a coefficient of correlation r between random variables X and Y is a quantitative index of association between these two variables. In its squared form, as a coefficient of determination r 2, indicates the amount of variance in the criterion variable Y that is accounted for by the variation in the predictor variable X. In the multiple regression analysis, the set of predictor variables X1, X2,... is used to explain variability of the criterion variable Y. A multivariate counterpart of the coefficient of determination r 2 is the coefficient of multiple determination, R 2. The square root of the coefficient of multiple determination is the coefficient of multiple correlation, R.  4, record 5, English, - coefficient%20of%20multiple%20determination

Record 5,  Textual support,  French

Record number: 5, Textual support number: 1 CONT

Corrélation multiple. Dans statistiques, analyse de régression est une méthode pour l'explication des phénomènes et la prévision de futurs événements. Dans l'analyse de régression, a coefficient de corrélation r entre variables aléatoires X et Y est un index quantitatif d'association entre ces deux variables. Sous sa forme carrée, comme a coefficient de détermination r2, indique la quantité de désaccord dans le critère de variable Y cela est expliqué par la variation de la variable de facteur prédictif X. Dans l'analyse de régression multiple, l'ensemble de variables de facteur prédictif X1, X2, ... est employé pour expliquer la variabilité du critère de variable Y. Contre-parties multivariables du coefficient de détermination r2 est le coefficient de détermination multiple, R2. racine carrée du coefficient de détermination multiple est le coefficient de corrélation multiple, R.  2, record 5, French, - coefficient%20de%20d%C3%A9termination%20multiple

Record 5,  Textual support,  Spanish

Record 6,  Textual support,  English

Record number: 6, Textual support number: 1 CONT

Job Component Method. The job component approach statistically develops a job evaluation method by using multiple factor regression analysis. This analysis identifies the factors and factor weights which best explain the relative market pay levels of benchmark jobs. Regression analysis provides the basis for predicting relationship between two variables.  1, record 6, English, - multiple%20factor%20regression%20analysis

Record 6,  Textual support,  French

Record 6,  Textual support,  Spanish

Record 7,  Textual support,  English

Record number: 7, Textual support number: 1 CONT

The job component method is a statistically developed job evaluation method which relies on scored questionnaires, multiple regression analysis and factor analysis. Employees complete a standardized questionnaire which either identifies the behavioral components of the job or the task based components of the job. The incumbent indicates for each task or behavior, the importance of the category and the frequency of perfomance. The questionnaire is input into a computerized mathematical model and a job score is determined.  1, record 7, English, - job%20component%20method

Record 7,  Textual support,  French

Record 7,  Textual support,  Spanish

Record 8,  Textual support,  English

Record number: 8, Textual support number: 1 DEF

For a numerical weather prediction model, statistical relations between model-forecast variables and observed weather variables, used for either correction of model-forecast variables or prediction of variables not explicitly forecast by the model.  3, record 8, English, - model%20output%20statistics

Record number: 8, Textual support number: 1 CONT

Model output statistics [is] a set of statistical equations that uses model output to forecast the probability of precipitation, high and low temperature, cloud cover, and precipitation amount ...  4, record 8, English, - model%20output%20statistics

Record number: 8, Textual support number: 2 CONT

Model output statistics... have often taken the form of multilinear regression equations derived by screening potential model-forecast variables as predictors. The method produces forecasts of weather variables that to some extent account for the random and systematic errors in the numerical weather prediction model.  3, record 8, English, - model%20output%20statistics

Record number: 8, Textual support number: 1 OBS

The difference between model output statistics (MOS) and perfect prognostic is that in MOS the predictand is related to the actual model output, while in perfect prog, the predictand is related to observations or representations of them at (nearly) concurrent times.  3, record 8, English, - model%20output%20statistics

Record number: 8, Textual support number: 2 OBS

model output statistics: term rarely used in the singular form (model output statistic).  5, record 8, English, - model%20output%20statistics

Record 8,  Textual support,  French

Record 8,  Textual support,  Spanish

Record 9,  Textual support,  English

Record number: 9, Textual support number: 1 CONT

The multiple regression method is used to determine the correlation between the criterion variable and a combination of two or more predictor variables. It can be used to analyse data from any quantitative research design.  1, record 9, English, - criterion%20variable

Record 9,  Textual support,  French

Record number: 9, Textual support number: 1 CONT

C'est la variable passive, appelée parfois réponse, voire variable critère parce qu'elle indique le phénomène que le chercheur cherche à expliquer.  2, record 9, French, - variable%20crit%C3%A8re

Record 9,  Textual support,  Spanish

Record 10,  Textual support,  English

Record number: 10, Textual support number: 1 CONT

The statistical framework to be used with pool data is a variant of the three-stage least-squares method developed by Zellner and Pheil two decades ago and called the seemingly uncorrelated regression model.  1, record 10, English, - seemingly%20uncorrelated%20regression%20model

Record 10,  Textual support,  French

Record 10,  Textual support,  Spanish