Olympic weightlifting and the introduction of steroids: a statistical analysis of world championship results, 1948–72

1988 ◽  
Vol 5 (1) ◽  
pp. 96-114 ◽  
Author(s):  
John D. Fair
Keyword(s):  
Statistical Analysis ◽  
World Championship

scholarly journals Differences between Championships of Football 5-a-Side for Blind People

2021 ◽  
Vol 11 (19) ◽  
pp. 8933
Author(s):  
José M. Gamonales ◽  
Jesús Muñoz-Jiménez ◽  
Kiko León ◽  
Sergio J. Ibáñez
Keyword(s):  
Statistical Analysis ◽  
Performance Analysis ◽  
Blind People ◽  
Sports Performance ◽  
Differential Analysis ◽  
World Championship ◽  
Set Game ◽  
Paralympic Games

Research on Football 5-a-side for blind people is usually informative and does not often consider sports performance analysis. This study aimed to verify the existing differences between the 2014 World Championship of Fa5 and the 2016 Paralympic Games, analyzing the action for an effective game, the throws to the goal. For this purpose, a total of 52 matches were analyzed and the statistical analysis unit was all the throws made to the goal during the game (n = 2.227). A descriptive and differential analysis was made between the variables proposed in the study considering the type of competition. The results show the existence of differences between the championships, analyzed explicitly through the variables: Championship phases, Throwing moment, Match status, Starting zone, and Throwing result, as well as the variables Progression type, Throwing zone, Striking situation, Corporal zone, and Striking type. These results highlighted that teams played differently but also set game trends and styles for future competitions.

scholarly journals Influencia de la eficacia en el penalti sobre la condición de ganador o perdedor en waterpolo (Influence of the efficacy in penalty on the winner or loser condition in water polo)

Retos ◽  
2015 ◽  
pp. 122-124
Author(s):  
Francisco Manuel Argudo Iturriaga
Keyword(s):  
Statistical Analysis ◽  
Single Factor ◽  
Male And Female ◽  
World Championship ◽  
Water Polo ◽  
Tukey Test ◽  
A Value

: Este estudio ha perseguido hallar los valores de eficacia en el marco situacional del penalti en waterpolo y analizar la relación entre éstos y la condición de ganador o perdedor. Se registraron todos los penaltis masculinos y femeninos del X Campeonato del Mundo, para su análisis consensuado entre dos especialistas entrenados. Se han evaluado mediante coeficientes las microsituaciones de juego en el penalti con posesión y sin posesión del balón, obteniendo valores de eficacia. Para el tratamiento estadístico se realizó un anova de un solo factor seguido por la prueba de Tukey, revelando diferencias significativas en waterpolo masculino; tomando como referencia un valor de pd».05. Se puede concluir que existen diferencias significativas entre la condición de ganador o perdedor en los doce coeficientes de eficacia en el penalti en waterpolo masculino y en ninguno en waterpolo femenino.Abstract: This study has pursued to find the efficacy values in the situational framework of the penalty in water polo and to analyze the relation between these and the condition of winner or loser. Were registered all the male and female penalties of the X World Championship, for their analysis by consensus between two specialists coached. Coefficients have been evaluated by means of the playing micro-situations in the penalty with and without ball possession, obtaining efficacy values. For the statistical analysis an anova of a single factor followed by the Tukey-test was carried out, revealing significant differences in male water polo; taking as reference a value of pd».05. It can be concluded that exist significant differences among the winner or loser condition in the twelve coefficients of efficacy in the penalty in male water polo and in none in female water polo.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

Intraindividual Variability in Development Within and Between Individuals

2001 ◽  
Vol 6 (3) ◽  
pp. 187-193 ◽  
Author(s):  
John R. Nesselroade
Keyword(s):  
Statistical Analysis ◽  
Research Design ◽  
Intraindividual Variability ◽  
Factor Analytic

A focus on the study of development and other kinds of changes in the whole individual has been one of the hallmarks of research by Magnusson and his colleagues. A number of different approaches emphasize this individual focus in their respective ways. This presentation focuses on intraindividual variability stemming from Cattell's P-technique factor analytic proposals, making several refinements to make it more tractable from a research design standpoint and more appropriate from a statistical analysis perspective. The associated methods make it possible to study intraindividual variability both within and between individuals. An empirical example is used to illustrate the procedure.

Review of Basic FORTRAN for Statistical Analysis.

1967 ◽  
Vol 12 (9) ◽  
pp. 467-467
Author(s):  
JOHN C. LOEHLIN
Keyword(s):  
Statistical Analysis
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