Indicadores de desempenho registrados em função do tempo no basquetebol brasileiro

Basketball performance analysis using technical indicators dissociated from the moment they occurred in the game seems to no longer respond to emerging issues of the game as it does not identify the periods when a team’s offensive efficiency has increased or decreased. The aim was to characterize and compare the technical indicators in the positive and negative periods and in the whole game of winning and losing teams in men’s professional basketball. Fourteen games of professional men’s teams of the “Novo Basquete Brasil” Championship in the regular 2011/2012 season were filmed and analyzed. The Kolmogorov-Smirnov test was used to verify data normality. The independent T test was used for variables with normal distribution and the Mann-Whitney test for variables that did not present normal distribution, in order to compare teams’ performance. Analysis in the whole game showed that winning teams had significantly higher averages in successful 3-point field goals but in the positive periods, they showed higher averages for successful free throws, successful layups, defensive rebounds and defensive fouls, and in negative periods, losing teams made more defensive and offensive fouls. The teams’ performance in the whole game may not elucidate the determinant indicators for building the difference in the scoreboard. It is suggested that coaches should identify the periods of best and worst teams’ performance in the game and the indicators involved, preparing teams to overcome the negative periods and obtain more positive periods in the game.

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Dynamical Age Determination of Open Clusters

Symposium - International Astronomical Union ◽

10.1017/s0074180900091865 ◽

1980 ◽

Vol 85 ◽

pp. 221-222

Author(s):

M. Buchholz ◽

Th. Schmidt-Kaler

Keyword(s):

Age Determination ◽

Dynamical Theory ◽

Distribution Functions ◽

Open Clusters ◽

Kolmogorov Smirnov ◽

The Difference ◽

Absolute Age ◽

Image Position ◽

Smirnov Test

The radial mass distribution (obtained by counting stars in strips) of the real cluster is compared successively to the distribution functions of a simulated cluster of 100 stars, each of which corresponds to a certain dynamical age, Tdyn, The value of Tdyn, belonging to the function most similar to the observed one is taken to be the dynamical age of the cluster. The radius is given in units of R1/2 (sphere containing half of the total mass); this unit is nearly time-independent. The difference between the distribution functions is measured by the maximum Δmax of the Kolmogorov-Smirnov test which is free from assumptions on the form of the distributions. The minimum in the plot Δmax vs Tdyn, indicates the age of the cluster. It is then converted into an absolute age, Tabs (in years), by The error due to the dynamical theory (limited number of distribution functions, etc.) is estimated at 12%, the error due to the uncertainty of diameter and mass of the cluster is about 30%. Unreliable results were obtained in case of strongly inhomogeneous reddening of the cluster. As an example, the plot of the test values for NGC 457 is given in Figure 1.

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Analisis Pengaruh Variabel-variabel Ekonomi Makro terhadap Return Saham

Binus Business Review ◽

10.21512/bbr.v4i1.1418 ◽

2013 ◽

Vol 4 (1) ◽

pp. 541-550

Author(s):

Sunaryo Sunaryo

Keyword(s):

Exchange Rate ◽

Interest Rate ◽

Normal Distribution ◽

Composite Index ◽

Secondary Data ◽

Primary Objective ◽

Distribution Data ◽

Daily Newspaper ◽

Kolmogorov Smirnov ◽

Smirnov Test

The primary objective of this research is to learn the effecting inflation, interest rate of Indonesian bank certificate, changes of exchange rate, and changes of outstanding money amounts variables with changes of the return Jakarta composite index. Secondary data were collected from Jakarta composite Index, annual Indonesian bank report, Jakarta daily newspaper, and preceding research by using judgment sampling until it got normal distribution data with Kolmogorov-Smirnov test. The results of this research described that inflation, Interest Rate of Indonesian Bank Certificate, and changes of outstanding money variables have not significant effect to the changes of return Jakarta composite index; and changes of exchange rate have significant effect to the changes return of Jakarta composite index. Inflation, interest rate of Indonesian bank certificate, changes of exchange rate, and changes of outstanding money amounts variables have simultaneous significant effect to thechanges return of Jakarta composite index. Topic of this research may continue using other countries or added more than 75.20 % of independence variables.

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Indoor PM1, PM2.5, PM10 and Outdoor PM2.5 Concentrations in Primary Schools in Sari, Iran

Archives of Industrial Hygiene and Toxicology ◽

10.2478/10004-1254-64-2013-2346 ◽

2013 ◽

Vol 64 (3) ◽

pp. 371-377 ◽

Cited By ~ 6

Author(s):

Mahmoud Mohammadyan ◽

Bijan Shabankhani

Keyword(s):

Normal Distribution ◽

Real Time ◽

Primary Schools ◽

Fine Particle ◽

Gravimetric Method ◽

Kolmogorov Smirnov ◽

The Relationship ◽

The City ◽

Indoor And Outdoor ◽

Smirnov Test

Abstract This study was carried out to determine the distribution of particles in classrooms in primary schools located in the centre of the city of Sari, Iran and identify the relationship between indoor classroom particle levels and outdoor PM2.5 concentrations. Outdoor PM2.5 and indoor PM1, PM2.5, and PM10 were monitored using a real-time Micro Dust Pro monitor and a GRIMM monitor, respectively. Both monitors were calibrated by gravimetric method using filters. The Kolmogorov-Smirnov test showed that all indoor and outdoor data fitted normal distribution. Mean indoor PM1, PM2.5, PM10 and outdoor PM2.5 concentrations for all of the classrooms were 17.6 μg m-3, 46.6 μg m-3, 400.9 μg m-3, and 36.9 μg m-3, respectively. The highest levels of indoor and outdoor PM2.5 concentrations were measured at the Shahed Boys School (69.1 μg m-3 and 115.8 μg m-3, respectively). The Kazemi school had the lowest levels of indoor and outdoor PM2.5 (29.1 μg m-3 and 15.5 μg m-3, respectively). In schools located near both main and small roads, the association between indoor fine particle (PM2.5 and PM1) and outdoor PM2.5 levels was stronger than that between indoor PM10 and outdoor PM2.5 levels. Mean indoor PM2.5 and PM10 and outdoor PM2.5 were higher than the standards for PM2.5 and PM10, and there was a good correlation between indoor and outdoor fine particle concentrations.

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ANALISIS PENGGUNAAN PERSAMAAN MULTICHANNEL SEA SURFACE TEMPERATUR (MCSTT) SPLIT-WINDOW PADA SENSOR SATELIT NOAA-AVHRR UNTUK DETEKSI TEMPERATUR PERMUKAAN AIR LAUT

Jurnal Algoritma, Logika dan Komputasi ◽

10.30813/j-alu.v1i1.1103 ◽

2018 ◽

Vol 1 (1) ◽

Author(s):

Agung Mulyo Widodo ◽

Nizirwan Anwar

Keyword(s):

Surface Temperature ◽

Sea Surface Temperature ◽

Normal Distribution ◽

Great Influence ◽

Weather Conditions ◽

Sea Surface ◽

Noaa Avhrr ◽

Sensing Technology ◽

Kolmogorov Smirnov ◽

The Difference

Sea surface temperatures have a great influence on weather conditions and terrestrial climates. The phenomena that occur in the oceans such as La Nina and El Nino also have a great impact on the changing world weather. For that required data of sea surface temperature up to date. The remote sensing technology can be used to monitor up-to-date seawater temperatures using NOAA's AVHRR-rated NOAA radios that have three thermal infrared channels, namely channel 3 (3.33-3.93μm), channel 4 (10.3 -11,3μm), and channel 5 (11,5 - 12μm) and by using Split-Window Multichannel Sea Surface Temperature (MCSTT) to calculate sea surface temperature. In this research will be an analysis of the accuracy of the use of these equations for tropical perariran in Indonesia. Field verification performed on the coast in Tuban region with geographical coordinates (6.83099o- 6.76149o SL and 112,029o-112,101oEL) by measuring the temperature at 30 points for comparison. The results of these measurements are then tested statistics Kolmogorov-Smirnov test and the results of temperature data obtained from the calculation and measurement of both normal distribution then because the normal distribution is done t test with 95% confidence level to compare between the temperature obtained from the calculation by using the value gray pixels with temperature measurements in the field turned out the average population is not the same or different significantly and the difference between the temperature shown image with temperature measurement results of 0.9886 oC

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Testing for Collinearity using Bayesian Analysis

Journal of Hospitality & Tourism Research ◽

10.1177/1096348021990841 ◽

2021 ◽

pp. 109634802199084

Author(s):

A. George Assaf ◽

Mike Tsionas

Keyword(s):

Bayesian Analysis ◽

Bayesian Approach ◽

Attractive Alternative ◽

Variance Inflation Factor ◽

Regression Parameters ◽

Kolmogorov Smirnov ◽

Inflation Factor ◽

The Difference ◽

The Bayesian Approach ◽

Smirnov Test

Testing for collinearity continues to be a controversial issue in the literature. Multicollinearity detection criteria, such as the variance inflation factor, often fail to detect the true extent of multicollinearity. In this article, we propose utilizing the Bayesian approach as an attractive alternative. Under the Bayesian approach, we recommend comparing the marginal posterior of regression parameters under two different priors. If the difference in the posterior under these two priors is pronounced, one can surmise that collinearity is harmful. The Kolmogorov–Smirnov test can also be used as further evidence to confirm whether the posterior difference is significant.

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Strength Analysis of BFRP Rebar Based on Kolmogorov–Smirnov Test and ANOVA Method

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.598.492 ◽

2012 ◽

Vol 598 ◽

pp. 492-496

Author(s):

Ming Lei Ma ◽

Gui Ling Wang ◽

Dong Mei Miao ◽

Bao Yu Lian

Keyword(s):

Normal Distribution ◽

Static Strength ◽

General Distribution ◽

Strength Analysis ◽

Comprehensive Understanding ◽

Fisher Test ◽

The Real ◽

Kolmogorov Smirnov ◽

Ks Test ◽

Smirnov Test

A very triditional and comprehensive understanding of the rebars’ static strength is that the strenth followes a normal distribution, no evidence or mathmatic test have adopted to prove that. This paper wants to bring a new idea to analyze the real true result to the former understanding. And finally a six more general distribution forms are used to give a provement which ignored in many strength analyis in China engineering community.During the provement, Fisher test and ANOVA method are studied carefully to suport the KS test.

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Comparison of methods of submission of suspected adverse drug reactions to the ADR monitoring centers in India

International Journal of Basic & Clinical Pharmacology ◽

10.18203/2319-2003.ijbcp20173292 ◽

2017 ◽

Vol 6 (8) ◽

pp. 2032

Author(s):

Sachin Kumar Kuchya ◽

Sarita Shrivastav

Keyword(s):

Comparison Of Methods ◽

Drug Reactions ◽

Monitoring Centre ◽

Adr Reporting ◽

Sample Test ◽

Kolmogorov Smirnov ◽

The Difference ◽

Independent Assessment ◽

Suspected Adverse Drug Reactions ◽

Smirnov Test

Background: Traditionally, paper based suspected ADR forms were the only way of submitting suspected ADR (sADR) data. Recently the mobile android based ADR reporting app© (App©) has also been developed and a copyright was granted to the author. This study is done to assess the two, viz. paper based and App based, methods of submission of sADR data.Methods: The sADR data submitted to the ADR Monitoring Centre (AMC), at Department of Pharmacology, NSCB MC Jabalpur. There is no such scale to assess the completeness of suspected ADR data received by individual AMCs. Therefore, appropriate algorithm and scale for Completeness scoring of filled sADR forms was designed, the basic tenets were adhered. A set of 10 sADR forms, submitted by either method, were subjected to Independent assessment by 3 assessors, who were not part of this study. The scores were then subjected to analysis, which revealed minimal variation across the assessment. Hence, the scale was adopted for the study.Results: A total of 403 sADR’s submitted to our AMC, were screened and subjected to scoring for completeness. Upon screening, 96.2% (257/267) sADR submitted via paper based sADR form and 100% (136/136) of those submitted via App stood valid, and hence included in the study. All the suspected ADR (sADR) submitted via ADR Reporting app were, complete. The sADR data submitted via ADR reporting app, had an average completeness score of 34.7±2.4 while those submitted via paper based form had an average of 29.2±2.4. The difference is highly significant on Wilcoxon two sample test (p<0.001) and Kolmogorov-Smirnov test (p<0.001).Conclusions: Compared to traditional paper based system, the ADR reporting app based sADR submission, is a better method.

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An Examination of Concentration and Mental Toughness in Professional Basketball Players

Journal of Education and Training Studies ◽

10.11114/jets.v7i1.3841 ◽

2018 ◽

Vol 7 (1) ◽

pp. 17 ◽

Cited By ~ 1

Author(s):

Çağatay Dereceli

Keyword(s):

T Test ◽

Mental Toughness ◽

Basketball Players ◽

Cancellation Task ◽

Professional Basketball ◽

Kolmogorov Smirnov ◽

And Control ◽

Concentration Levels ◽

Smirnov Test

This study was carried out to investigate the concentration and mental toughness of professional basketball players. A total of 290 professional basketball players aged 16–26 years who played in the Turkish Basketball First and Second Leagues participated in the study. The “Sport Mental Toughness Questionnaire (SMTQ-14)” developed by Sheard et al. (2009) was used to determine mental toughness levels of the basketball players participating in the study, and the “Letter Cancellation Task” scale developed by Kumar and Telles (2009) was used to determine their concentration levels. Data were analyzed by using the Kolmogorov-Smirnov test, an independent samples t-test, and one-way analyses of variance (ANOVA).Results show that the concentration ability of the basketball players did not significantly differ in terms of gender, age and sports age. There were statistically significant differences in overall mental toughness, confidence and control. The players’ mental toughness and confidence scores differed significantly based on sports age. It is interesting to find that overall mental toughness was higher in the basketball players with a sports age of 1–5 years. According to their positions in the play, the players’ concentration ability was found to be significantly different between guards and pivots in favor of the guards. The concentration ability of the players playing at the guard position was higher than that of the players playing at other positions. Overall mental toughness and its sub-dimensions had no significant differences according to the positions. However, it is striking that overall mental toughness scores and its sub-dimension scores were high in guards and pivots.

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Comparison of Coordinative Abilities of Child Wrestlers and Judokas

Journal of Education and Training Studies ◽

10.11114/jets.v7i9.4334 ◽

2019 ◽

Vol 7 (9) ◽

pp. 1

Author(s):

Yaşar Çoruh ◽

Serkan Zengin

Keyword(s):

Body Weight ◽

Normal Distribution ◽

Distribution Data ◽

Significant Difference ◽

Kolmogorov Smirnov ◽

The University ◽

The Given ◽

Better Than ◽

Smirnov Test ◽

Medicine Ball

The aim of this research is to compare the coordinative abilities of child wrestlers and judokas. Totally 52 athletes were included into the research by taking consent from their families; 26 judoka children whose age average is 13.45±0.506 years, height average is 1.52±0.090 mt and body weight average is 47.52±13.193 kg and 26 judoka whose age average is 14.75±0.639 years, height average is 1.59±0.064 mt and body weight average is 49.85±8.786 kg. All risks and benefits pertaining to the research were explained to the parents of athletes and they were asked to sign the university confirmed voluntary permission form. Numbered medicine ball running test, Backward Medicine Ball Throw Test and sprint test to the given rhythm were used for the purpose for determining the orientation, differentiation and rhythm performances in regard to coordinative abilities of the individuals participating into the research. SPSS 22 program was used for the analysis of the data obtained. It was found out according to the result of One Sample Kolmogorov-Smirnov test performed that data related with rhythm times exhibited normal distribution, data related with orientation times and differentiation scores did not exhibit normal distribution. For this reason, while Independent Samples T test was used in comparison of data related with rhythm times by the type of sports, Mann Whitney U test was used in comparison of data related with orientation times and differentiation scores by the type of sports. Once the results related with research were examined, while it was seen that the rhythm times and orientation times of wrestlers were significantly better than those of judoka, it was concluded that any significant difference was not available for the differentiation ability.In conclusion, the findings of the study do not confirm our pre-research expectations. Once the related literature is examined, it is seen that there are many various results related with the coordinative abilities pertaining to different sports branches.

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Uji Komparasi Abnormal Return, Trading Volume, Dan Trading Frequency Sebelum Dan Sesudah Peristiwa Share Split Pada Perusahaan Yang Terdaftar Di Bursa Efek Indonesia Periode 2010 – 2013

Jurnal ULTIMA Accounting ◽

10.31937/akuntansi.v6i2.183 ◽

2014 ◽

Vol 6 (2) ◽

pp. 1-17

Author(s):

Jordan Vincent ◽

Ratnawati Kurnia

Keyword(s):

Abnormal Return ◽

Trading Volume ◽

Stock Exchange ◽

Abnormal Returns ◽

Trading Frequency ◽

Analysis Technique ◽

Before And After ◽

Kolmogorov Smirnov ◽

The Difference ◽

Smirnov Test

This study is event study that was conducted to determine differences in abnormal returns, trading volume, and trading frequency before and after the events of the share split. The object of this research is the companies that did the share split and listed in Indonesia Stock Exchange in 2010 - 2013. Samples were taken by using purposive sampling as many as 24 companies. The criteria is the company did not do corporate action right issue, pre-emptive rights, a share dividend and bonus shares in the same year with share split, then the company share actively traded 15 days before and after the share split. Data analysis technique begins with a test of normality using Kolmogorov - Smirnov test, then test the hypothesis using a paired t test to compare the differences before and after share split. In testing the hypothesis showed that the difference was only found on variable trading frequency before and after share split. While the other variables are abnormal return and trading volume was not found significant differences before and after the share split. Keywords: Share split, abnormal returns, trading volume, trading frequency

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