Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Stephanie Kovalchik"'
Autor:
Stephanie Kovalchik
Publikováno v:
Harvard Data Science Review (2021)
Externí odkaz:
https://doaj.org/article/594229cc9abd4627bd8b4e393f38379f
Publikováno v:
Sports Medicine - Open, Vol 3, Iss 1, Pp 1-16 (2017)
Abstract Background Australian football (AF) players require endurance, strength, speed, and agility to be successful. Tests assessing physical characteristics are commonly used for talent identification; however, their ability to differentiate betwe
Externí odkaz:
https://doaj.org/article/636a1e5c86c049cc946a5e89dda50b14
Publikováno v:
Frontiers in Psychology, Vol 10 (2019)
This study aimed to develop a model to objectively benchmark professional Australian Rules football (AF) player performance based on age, experience, positional role and both draft type and round in the Australian Football League (AFL). The secondary
Externí odkaz:
https://doaj.org/article/e8161e899ad449418b5819035b4e885f
Publikováno v:
PLoS ONE, Vol 14, Iss 8, p e0220901 (2019)
Player evaluation plays a fundamental role in the decision-making processes of professional sporting organisations. In the Australian Football League, both subjective and objective evaluations of player match performance are commonplace. This study a
Externí odkaz:
https://doaj.org/article/8a348d3f7de644219ff978f53b02c282
Quantifying Contextual Interference and Its Effect on Skill Transfer in Skilled Youth Tennis Players
Publikováno v:
Frontiers in Psychology, Vol 8 (2017)
The contextual interference effect is a well-established motor learning phenomenon. Most of the contextual interference effect literature has addressed simple skills, while less is known about the role of contextual interference in complex sport skil
Externí odkaz:
https://doaj.org/article/6684e6fa382b4cd38bd420091ab4afe1
Autor:
Stephanie Kovalchik, Ravi Varadhan
Publikováno v:
Journal of Statistical Software, Vol 54, Iss 1, Pp 1-18 (2013)
The R package blm provides functions for fitting a family of additive regression models to binary data. The included models are the binomial linear model, in which all covariates have additive effects, and the linear-expit (lexpit) model, which allow
Externí odkaz:
https://doaj.org/article/ece579e9f4b94fe287fb2390a0be3ff3
Publikováno v:
International Journal of Performance Analysis in Sport. 21:22-32
Dynamical systems theory provides researchers with statistical tools to explore nonlinear relationships that evolve based on spatio-temporal relationships between performers. In tennis, the Positio...
Autor:
Stephanie Kovalchik
Publikováno v:
International Journal of Forecasting. 36:1329-1341
The Elo rating system is one of the most popular methods for estimating the ability of competitors over time in sport. The standard Elo system focuses on predicting wins and losses, but there is often also interest in the margin of victory (MOV) beca
Autor:
Miha Mlakar, Stephanie Kovalchik
Publikováno v:
Journal of Sports Analytics. 6:147-154
Autor:
Stephanie Kovalchik, Machar Reid, Tim Wood, Gregory A. Hoy, Melanie Omizzolo, Anne-Marie Montgomery, Andrew H. Rotstein, Elissa Botterill, Frank Malara
Publikováno v:
Journal of Science and Medicine in Sport. 23:564-568
Objectives Ulnar-sided injuries of the non-dominant wrist are common in elite tennis players using a double-handed backhand technique. This study investigated the radiological changes of the non-dominant wrist in elite symptomatic and asymptomatic pl