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1.
This study examined if a video decision-making task could discriminate talent-identified junior Australian football players from their non-talent-identified counterparts. Participants were recruited from the 2013 under 18 (U18) West Australian Football League competition and classified into two groups: talent-identified (State U18 Academy representatives; n = 25; 17.8 ± 0.5 years) and non-talent-identified (non-State U18 Academy selection; n = 25; 17.3 ± 0.6 years). Participants completed a video decision-making task consisting of 26 clips sourced from the Australian Football League game-day footage, recording responses on a sheet provided. A score of “1” was given for correct and “0” for incorrect responses, with the participants total score used as the criterion value. One-way analysis of variance tested the main effect of “status” on the task criterion, whilst a bootstrapped receiver operating characteristic (ROC) curve assessed the discriminant ability of the task. An area under the curve (AUC) of 1 (100%) represented perfect discrimination. Between-group differences were evident (P < 0.05) and the ROC curve was maximised with a score of 15.5/26 (60%) (AUC = 89.0%), correctly classifying 92% and 76% of the talent-identified and non-talent-identified participants, respectively. Future research should investigate the mechanisms leading to the superior decision-making observed in the talent-identified group.  相似文献   
2.
The aim of this investigation was to establish median performance profiles for the six playing positions in elite women’s indoor hockey and then identify whether these position-specific profiles could discriminate between qualifying (top four), mid-table and relegated teams in the 2011–2012 England Hockey premier league. Successful passing in relegated teams was significantly lower (P < 0.008) than in mid-table and qualifying teams in four of the five outfield positions. Furthermore, the right backs of qualifying teams demonstrated significantly fewer (P < 0.008) unsuccessful passes (x? = 15.5 ± CLs 15.0 and 10.0, respectively) and interceptions (x? = 4.0 ± CLs 4.0 and 3.0, respectively) than relegated teams (x? = 19.5 ± CLs 21.0 and 17.0; x? = 7.5 ± CLs 8.0 and 6.0, respectively). Finally, the right forwards of relegated teams demonstrated significantly fewer (P < 0.008) successful interceptions (x? = 4.0 ± CLs 5.0 and 4.0, respectively) than qualifying teams (x? = 5.0 ± CLs 6.0 and 3.0, respectively) and significantly more (P < 0.008) unsuccessful interceptions (x? = 5.5 ± CLs 6.0 and 4.0, respectively) than mid-table teams (x? = 3.0 ± CLs 3.0 and 2.0, respectively). Based on these findings, coaches should adapt tactical strategies and personnel deployment accordingly to enhance the likelihood of preparing a qualifying team. Research should build from these data to examine dribbling, pressing and patterns of play when outletting.  相似文献   
3.
采用测量法和数理统计法等方法,对华中科技大学文华学院2007、2008级学生进行《国家学生体质健康标准》测试,通过对身高、体重等6项指标的测试,对所得数据进行统计学处理后,进行聚类分析和判别分析,建立学生体质健康判别分析模型,对所建立的模型进行检验,其模型具有较好的科学性与实用性。  相似文献   
4.
反馈类型的判别是电子电路基础的一个重点和难点,在多年的教学实践中,针对近年来技校学生文化理论和专业基础普遍较差的特点,笔者总结出一种简单的直观判别法,有助于学生对知识的理解和接受。  相似文献   
5.
Identity is prominent in academia, despite it being difficult to define and measure due to its dynamic and multifaceted nature. In Japan, awareness of the make-up of Japanese youth is increasingly crucial as Japan becomes a more internationalized and ageing society. This paper examines, by identity mapping and discriminant analysis, the cultural identities of 94 Japanese youth. While strong Global identities separated the respondents with from without overseas experience, ties to National identities and Relationships were found respectively for males and females. This paper suggests that regarding the study of cultural identities, gender does matter – at least in Japan.  相似文献   
6.
本文介绍了柯西-施瓦茨不等式的三种证明。  相似文献   
7.
8.
判别分析的错判损失   总被引:1,自引:0,他引:1  
对回代正确率作了推广,提出了判别模型损失的概念,并以判别模型的损失为标准来衡量判别模型的好坏。  相似文献   
9.
本文讨论了凸函数在证明Jensen不等式及Young不等式的应用,并证明了著名的Halder不等式。  相似文献   
10.
Abstract

The aim of the present paper was to examine the differences in game-related statistics between basketball guards, forwards and centres playing in three professional leagues: National Basketball Association (NBA, superior level) in the USA, Associación de Clubs de Baloncesto (ACB, one of the best European leagues) in Spain and Liga de Clubes de Basquetebol (LCB, inferior level) in Portugal. We reasoned that the knowledge of these differences could allow the coaches to better establish and monitor playing patterns and increase the effectiveness of the player recruitment process. Archival data was gathered for the 2000–2001 play-off final series of the NBA (five games), ACB (three games) and LCB (four games). For players in each league, discriminant analysis was able to identify game-related statistics that maximized mean differences between playing positions (p<0.05). The interpretation of the obtained discriminant functions was based on examination of the structure coefficients greater than ∣0.30∣. In the LCB league, centres and guards were discriminated mainly in terms of defensive tasks, with emphasis on blocks (structure coefficient, SC=0.35) and defensive rebounds (SC=0.43) and a de-emphasis on unsuccessful 3-point field-goals (SC=???0.37). In the ACB, centres and guards were discriminated by offensive tasks, with emphasis on assists (SC=0.52) and 3-point field-goals, both successful (SC=0.35) and unsuccessful (SC=0.35), and a de-emphasis on offensive rebounds (SC=???0.44). Finally, in the NBA league guards and centres were discriminated by offensive tasks, with emphasis on offensive rebounds (SC=0.31) and a de-emphasis on assists (SC=???0.37) and unsuccessful 3-point field-goals (SC=???0.34). These three analyses provided high overall percentages of successful classification (86% for the LCB league, 74% for the ACB and 85% for the NBA). Generally, the players’ game-related statistics varied according to playing position, probably because of the well-known differences in the players’ anthropometric characteristics that conditioned the distance they play from the basket. Coaches can use these results to reinforce the importance of relying on different players’ contributions to team performance and evaluate players’ game performance according to their playing position. Conversely, these discriminant models could help in player recruitment and improve training programmes.  相似文献   
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