Journal•ISSN: 0933-2480
Chance
American Statistical Association
About: Chance is an academic journal published by American Statistical Association. The journal publishes majorly in the area(s): Statistician & Computer science. It has an ISSN identifier of 0933-2480. Over the lifetime, 1119 publications have been published receiving 14248 citations.
Topics: Statistician, Computer science, Basketball, Bayesian probability, Odds
Papers published on a yearly basis
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TL;DR: In this paper, the authors discuss the implications of these problems for the conduct and interpretation of research and conclude that the probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and the ratio of true to no relationships among the relationships probed in each scientifi c fi eld.
Abstract: Summary There is increasing concern that most current published research fi ndings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientifi c fi eld. In this framework, a research fi nding is less likely to be true when the studies conducted in a fi eld are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater fl exibility in designs, defi nitions, outcomes, and analytical modes; when there is greater fi nancial and other interest and prejudice; and when more teams are involved in a scientifi c fi eld in chase of statistical signifi cance. Simulations show that for most study designs and settings, it is more likely for a research claim to be false than true. Moreover, for many current scientifi c fi elds, claimed research fi ndings may often be simply accurate measures of the prevailing bias. In this essay, I discuss the implications of these problems for the conduct and interpretation of research. It can be proven that most claimed research fi ndings are false.
4,999 citations
TL;DR: Cressie and Wikle as mentioned in this paper present a reference book about spatial and spatio-temporal statistical modeling for spatial and temporal modeling, which is based on the work of Cressie et al.
Abstract: Noel Cressie and Christopher WikleHardcover: 624 pagesYear: 2011Publisher: John WileyISBN-13: 978-0471692744Here is the new reference book about spatial and spatio-temporal statistical modeling! No...
680 citations
TL;DR: The first ultraintelligent machine is the last invention that man need ever make, provided that the machine i... as mentioned in this paper, 2014.Hardcover: 352 pagesYear: 2014Publisher: Oxford University PressISBN-13: 978019967811212
Abstract: Hardcover: 352 pagesYear: 2014Publisher: Oxford University PressISBN-13: 978-0199678112“The first ultraintelligent machine is the last invention that man need ever make, provided that the machine i...
449 citations
TL;DR: Technical aspects are not the focus of Principles of Applied Statistics, so this also explains why it does not dwell intently on nonparametric models.
Abstract: Paperback: 276 pages Publisher: Cambridge University Press and Institute of Mathematical Statistics Year: 2010 Language: English ISBN-13: 978-0-5211-9249-1 Large-Scale Inference: Empirical Bayes Me...
326 citations
TL;DR: Pewsey, Neuhauser, and Ruxton as discussed by the authors presented a survey of the field of circular statistics, focusing on circular statistics in the context of circular data and circular statistics.
Abstract: Arthur Pewsey, Markus Neuhauser, and Graeme D. RuxtonPaperback: 192 PagesYear: 2014Publisher: Oxford University PressISBN: 9780199671137In the field of circular statistics, you can't be picky about...
290 citations