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The aim of this study was to compare the somatotype and size of elite female basketball players in terms of playing position and team performance. Anthropometry and somatotype data were collected on 168 players from 14 countries before the Women's World Basketball Championship, Australia, 1994. There were 64 guards (mean?±?s: age 25.4?±?3.3 years, height 1.72?±?0.06?m, mass 66.1?±?6.2?kg, somatotype?=?2.9?–?3.9?–?2.6), 57 forwards (age 25.2?±?3.8 years, height 1.81?±?0.06?m, mass 73.3?±?5.9?kg, somatotype?=?2.8?–?3.5?–?3.2) and 47 centres (age 24.1?±?3.1 years, height 1.90?±?0.06?m, mass 82.6?±?8.2?kg, somatotype?=?3.2?–?3.1?–?3.4). Mean somatotypes by position were significantly different (F?=?7.73, P?<?0.01). Guards had greater mesomorphy than centres and less ectomorphy than forwards and centres. When discriminant function analysis was applied to endomorphy, mesomorphy, ectomorphy, age, height and mass, only height, mass and ectomorphy entered (Wilks' λ?=?0.351, F?=?31.40, P?<?0.000), 70% of the variance was accounted for, and 72% of players were correctly classified. In the four top versus four bottom teams, guards were taller and more ectomorphic, forwards were taller, with lower mesomorphy and higher ectomorphy, and centres did not differ. Thus there are some differences in somatotypes by position and team placing, but the combination of height, mass and ectomorphy provide the best differentiation by position. 相似文献
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O.A. Stepanov V.A. Vasiliev A.B. Toropov A.V. Loparev М.V. Basin 《Journal of The Franklin Institute》2019,356(10):5573-5591
A filtering algorithm is presented for discrete-time linear stochastic systems with polynomial measurements. The techniques to evaluate its efficiency are proposed. The algorithm performance is demonstrated by solving two navigation data processing problems, map-aided navigation using geophysical fields and single-beacon navigation for an autonomous underwater vehicle. The designed polynomial filter is compared to the extended Kalman filter, which is commonly used in practice. The simulation results reveal advantages of the polynomial algorithm. The obtained conclusions are reported. 相似文献
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