scholarly journals Predicting Round and Game Winners in CSGO

2022 ◽  
Author(s):  
Allen Rubin
Keyword(s):  
Statistical Analysis ◽  
Video Game ◽  
Purchasing Decisions ◽  
Probability Models ◽  
Competitive Environments ◽  
Detailed Statistical Analysis ◽  
Short And Long Term ◽  
Individual Scores ◽  
Bare Bones

Win probabilities have become a staple on scoreboards in physical sports such as baseball and basketball. Esports, or competitive video games with sponsored teams and major audiences, typically lack this detailed statistical analysis, beyond bare-bones metrics and commentator intuition. However, the advantage of esports in their tendency to have a central record of every game event makes them ripe for statistical analysis through machine learning. Previous research has covered popular video game genres such as MOBAs, and has found success in predicting game winners most of the time [1]. Counterstrike: Global Offensive (CSGO) is an esport that is unique in its round and game-based nature, allowing researchers to examine how short and long-term decisions can interplay in competitive environments. We introduce a dataset of CSGO games To assess factors such as player purchasing decisions and individual scores, we introduce 3 round and game win probability models. Finally, we evaluate the performances of the models. We successfully predict winners in the majority of cases, better than the map average baseline win statistics.

Electoral Competitiveness and Turnout in British Elections, 1964–2010

2015 ◽  
Vol 5 (4) ◽  
pp. 775-794 ◽  
Author(s):  
Jack Vowles ◽  
Gabriel Katz ◽  
Daniel Stevens
Keyword(s):  
Life Cycle ◽  
Voting Behavior ◽  
Multilevel Models ◽  
Election Study ◽  
Long Term Effects ◽  
Specific Effects ◽  
Competitive Environments ◽  
Voting Age ◽  
Short And Long Term

Analyzing the British Election Study from 1964 to 2010, we examine the influence of electoral context on turnout, focusing on the closeness of elections in terms of lagged seat and constituency-level winning margins. Using cross-classified multilevel models to account for individual and contextual factors and disentangle life cycle, cohort- and election-specific effects, we find that closeness strongly affects voting behavior, particularly among new electors. Widening seat margins in British elections over the last decades have had a persistent impact on turnout. Respondents who faced less competitive environments when young are more likely to abstain in subsequent elections than those reaching voting age after close-fought races. We conclude that variations in competitiveness have had both short- and long-term effects on turnout.

Statistical Analysis of Otosclerosis Surgery Performed by Jean Marquet

1994 ◽  
Vol 103 (12) ◽  
pp. 945-951 ◽  
Author(s):  
Thomas Somers ◽  
Thérèse Marquet ◽  
Paul Govaerts ◽  
Erwin Offeciers
Keyword(s):  
Statistical Analysis ◽  
Oval Window ◽  
Long Term Results ◽  
Speech Discrimination ◽  
Hearing Results ◽  
Short And Long Term

The early and long-term hearing results of 1,681 primary otosclerosis operations performed by the same surgeon, Jean Marquet, were reviewed retrospectively and analyzed with very strict statistical standards. Significantly better short- and long-term results were achieved with the stapedotomy technique compared to total stapedectomy, mainly at the higher frequencies (4 and 8 kHz) important for speech discrimination. Whatever technique was used to open the footplate (micropick, microdrill, or laser), no statistical audiometric difference could be found. The results were equal whether or not the stapedial tendon was preserved. Perioperative problems like pronounced oozing, difficult anatomic relationships, and accidental perilymph aspiration could affect hearing at higher frequencies. The calibrated hole technique was equally as good as conventional oval window sealing in sealing of the fenestra to prevent fistula. The stapedotomy technique was found the safest, having fewer complications.

scholarly journals ANALYSIS OF LONG-TERM VARIABILITY OF RIVER RUNOFF IN THE URAL RIVER BASIN

2021 ◽  
Vol 5 (1(82)) ◽  
pp. 8-11
Author(s):  
N. Yumina ◽  
M. Kozlov
Keyword(s):  
Statistical Analysis ◽  
River Basin ◽  
Climatic Changes ◽  
Annual Runoff ◽  
Phase Fluctuations ◽  
Detailed Statistical Analysis ◽  
Seasonal Runoff ◽  
Term Data ◽  
Different Parts

The hydrological zoning of the Ural River basin has been clarified in terms of synchronism and in-phase fluctuations in annual runoff. 5 hydrological regions have been identified. For 9 hydrological posts and 5 meteorological stations located in different parts of the basin, a detailed statistical analysis of long-term data was carried out. A single 1975 year of the beginning of hydro-meteorological changes in the basin was revealed. For each hydrological region, statistically significant changes in the annual and seasonal runoff were revealed. The assessment of the factors of change in runoff was carried out. Areas with a predominant influence on the change in runoff or anthropogenic load on water resources or climatic changes are identified.

scholarly journals Multiple macroecological laws do characterize various aspects of microbiota dynamics

2021 ◽  
Author(s):  
Konstantine Tchourine ◽  
Martin Carballo-Pacheco ◽  
Dennis Vitkup
Keyword(s):  
Statistical Analysis ◽  
Temporal Structure ◽  
Ecological Communities ◽  
Internal Dynamics ◽  
Scaling Exponents ◽  
Bacterial Dynamics ◽  
Short And Long Term ◽  
Characteristic Values ◽  
Recent Demonstration

In this letter we address the potential confusion related to our recent demonstration that multiple macroecological laws describe short- and long-term dynamics of microbial communities. Specifically, we clarify that these laws, similarly to many other relationships observed in nature, are characterized not just by the existence of scaling, but also by certain characteristic values of the scaling exponents. By performing proper statistical analysis, we demonstrate that the relationships sensitive to temporal bacterial dynamics are not reproduced in the shuffled data. We also discuss that there is no clear evidence in the data that macroecological relationships in microbiota are primarily driven by external or environmental factors. Proper statistical analyses of the data suggest that the dynamics of gut microbiota, even on a constant diet, contains rich temporal structure. Therefore, it is likely that complex and non-linear internal dynamics may be primarily responsible for the observed macroecological laws in microbiota and other ecological communities.

Short- and Long-Term Effects of Video Game Violence on Interpersonal Trust

2014 ◽  
Vol 18 (1) ◽  
pp. 106-133 ◽  
Author(s):  
Tobias Rothmund ◽  
Mario Gollwitzer ◽  
Jens Bender ◽  
Christoph Klimmt
Keyword(s):  
Video Game ◽  
Interpersonal Trust ◽  
Long Term Effects ◽  
Video Game Violence ◽  
Short And Long Term ◽  
Game Violence

scholarly journals Readers, Players, and Watchers: Short and Long-term Vocabulary Retention through Digital Video Games

2017 ◽  
Vol 6 (4) ◽  
pp. 52 ◽  
Author(s):  
Mohsen Ebrahimzadeh ◽  
Sepideh Alavi
Keyword(s):  
Video Games ◽  
Video Game ◽  
Digital Video ◽  
Male Students ◽  
Vocabulary Retention ◽  
Compound Nouns ◽  
Time Period ◽  
Short And Long Term ◽  
Intensive Reading

The study investigated short- and long-term vocabulary retention through a digital video game. Participants were 241 male students (age 12–18) randomly assigned to three treatments, namely, Readers who learned vocabulary through intensive reading, Players who learned vocabulary through playing a digital video game, and Watchers who learned by watching two classmates play the digital video game. Twenty one words (simple and compound nouns) were pretested and then followed by the interventions which lasted for five weeks. The same pretest was posttested twice: As a one month and a three months delayed posttest after the study to measure short- and long-term vocabulary retention respectively. Results indicated that the Players and Watchers outperformed the Readers in terms of both short- and long-term vocabulary retention. The Readers were the only group to forget a significant number of words on the three-months delayed posttest. Only the Players’ treatment was equally effective for learning both simple and compound nouns. The Players showed the highest mean score on both posttests and the least drop from the short- to long-term posttest. It is concluded that digital video games can help students retain vocabulary over a longer time period.

scholarly journals Detailed statistical analysis plan for the short-term versus long-term mentalisation-based therapy for outpatients with subthreshold or diagnosed borderline personality disorder randomised clinical trial (MBT-RCT)

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Sophie Juul ◽  
Sebastian Simonsen ◽  
Stig Poulsen ◽  
Susanne Lunn ◽  
Per Sørensen ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Borderline Personality Disorder ◽  
Personality Disorder ◽  
Statistical Analysis Plan ◽  
Borderline Personality ◽  
Individual Therapy ◽  
Statistical Analyses ◽  
Short Term ◽  
Detailed Statistical Analysis

Abstract Background Psychotherapy for borderline personality disorder is often extensive and resource-intensive. Mentalisation-based therapy is a psychodynamically oriented treatment option for borderline personality disorder, which includes a case formulation, psychoeducation, and group and individual therapy. The evidence on short-term compared with long-term mentalisation-based therapy is currently unknown. Methods/design The Short-Term MBT Project (MBT-RCT) is a single-centre, parallel-group, investigator-initiated, randomised clinical superiority trial in which short-term (20 weeks) will be compared with long-term (14 months) mentalisation-based therapy for outpatients with subthreshold or diagnosed borderline personality disorder. Outcome assessors, data managers, the data safety and monitoring committee, statisticians, and decision-makers will be blinded to treatment allocation. Participants will be assessed before randomisation and at 8, 16, and 24 months after randomisation. The primary outcome will be the severity of borderline symptomatology assessed with the Zanarini Rating Scale for Borderline Personality Disorder. Secondary outcomes will be functional impairment (Work and Social Adjustment Scale), quality of life (Short-Form Health Survey 36—mental component), global functioning (Global Assessment of Functioning), and proportion of participants with severe self-harm. In this paper, we present a detailed statistical analysis plan including a comprehensive explanation of the planned statistical analyses, methods to handle missing data, and assessments of the underlying statistical assumptions. Final statistical analyses will be conducted independently by two statisticians following the present plan. Discussion We have developed this statistical analysis plan before unblinding of the trial results in line with the Declaration of Helsinki and the International Conference on Harmonization of Good Clinical Practice Guidelines, which should increase the validity of the MBT-RCT trial by mitigation of analysis bias. Trial registration ClinicalTrials.gov NCT03677037. Registered on 19 September 2018

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