Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...
This is a preview. Log in through your library . Abstract Decision models are often based on certain assumptions as to their validity. Relevant assumptions may include value-based assumptions, such as ...
2 School of Exercise Science, Australian Catholic University, Brisbane, Queensland, Australia 3 School of Human Movement Studies, The University of Queensland, Brisbane, Queensland, Australia 4 ...
Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...
This is a preview. Log in through your library . Abstract The statistical assumptions of asymmetry and linearity in path models of academic achievement are critically examined using data from a sample ...
Current approaches to reconstructing past climate by using tree-ring data need to be improved on so that they can better take uncertainty into account, new research suggests.Tree growth rings are ...
The year is shaping up to be one where my dialog with leadership within large financial institutions shifts from “I want to do digital” to “Show me how digital helps me become more competitive.” ...
A new ranking methodology places Barry Bonds over Babe Ruth as the game’s best player ever. Statisticians, at least, are cheering. By Alexander Nazaryan Every sport has its arguments over which player ...
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