A stepwise method for determining the number of component distributions in a mixture     

Yu-Sheng Hsu  Joseph J. Walker  David E. Ogren 《Mathematical Geology》1986,18(2):153-160

This paper considers the problem of estimatingm, the number of components in a finite mixture of distributions from a parametric family. A step-up procedure using the bootstrap method is proposed. Some properties of the procedure are illustrated with simulation studies. An example of the method, applied to orientation of beach clasts, is given.  相似文献   

Visualization for fisheries management from a spatiotemporal perspective   总被引：1，自引：1，他引：1  

Kemp  Z.; Meaden  G. 《ICES Journal of Marine Science》2002,59(1):190-202

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Statistics of nonlinear wave crests and groups   总被引：1，自引：0，他引：1  

M. Aziz Tayfun   《Ocean Engineering》2006,33(11-12):1589-1622

Groups of large nonlinear waves with sharper higher crests can pose hazards to ships, induce harbor resonance and cause wave-overtopping of fixed and floating structures. Past interest in wave groups has mostly been focused on the statistics and modeling of linear wave groups. Studies on nonlinear wave groups are surprisingly few, and address deep water waves only. Here, statistics of nonlinear wave crests and wave-crest groups in deep and transitional water depths are considered, using an appropriate second-order representation for crest heights and the continuous wave-envelope approach. In particular, theoretical expressions describing the statistics of nonlinear wave crests and their groups are posed in the form of a simple second-order transformation of well-known results on linear waves. Predictions from the transformation so posed compare well with nonlinear wave data gathered in the North Sea, and demonstrate that nonlinearities do affect the statistics of large wave crests and their groups significantly.  相似文献   

Observations on the surface water characteristics in the western Irish Sea: July 1977     

J. Beardall  P. Foster  D. Voltolina  G. Savidge 《Estuarine, Coastal and Shelf Science》1982,14(6):589-598

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胶州湾营养盐的现状和变化   总被引：28，自引：3，他引：28  

沈志良 《海洋科学》1997,21(1):60-64

报道了１９９１年５月至１９９４年２月１２个航次胶州湾ＮＯ３－Ｎ，ＮＯ２－Ｎ，ＮＨ４－Ｎ，ＰＯ４－Ｐ和ＳｉＯ３－Ｓｉ的时空分布基本特征，６０年代于至９０年代的变化表明，胶州湾营养盐的浓度和分布已发生显变化。尤其从６０年代至８０年代，３０年来，胶州湾中东部水城ＰＯ４－Ｐ，ＮＯ３－Ｎ和ＮＨ４－Ｎ浓度分别增加２．２，７．３和７．１倍，ＴＯＮ浓度也增加了３．５倍，ＴＩＮ／ＰＯ４－Ｐ从１０增加至２４．２；Ｔ  相似文献   

基于Informix数据刀片的时空数据管理     

金培权  岳丽华  龚育昌 《武汉大学学报(信息科学版)》2005,30(7):646-649

已有的时空数据库研究集中在模型和语言上,缺乏时空数据库的系统实现。针对这一问题,给出了一种应用Informix数据刀片技术进行时空数据库系统实现的方法,论述了底层的时空数据模型、时空数据刀片的实现过程以及实验结果。  相似文献   

基于DEM的黄河流域天文辐射空间分布   总被引：23，自引：3，他引：23  

曾燕  邱新法  刘昌明  吴险峰 《地理学报》2003,58(6):810-816

基于1 km×1 km分辨率的数字高程模型(DEM) 数据,利用建立的起伏地形下天文辐射分布式计算模型,计算了黄河流域1 km×1 km分辨率各月天文辐射的空间分布。结果表明:局部地形对黄河流域年和四季天文辐射的空间分布影响明显;在太阳高度角较低的冬季,地理和地形因子对天文辐射的影响相当强烈,山区天文辐射的空间差异大,1月份向阳山坡(偏南坡) 天文辐射可为背阴山坡(偏北坡) 的2~3倍,极端天文辐射的差异可达10倍以上;而在太阳高度角较高的夏季,天文辐射空间差异较小,7月份不同地形极端天文辐射的差异仅在16%左右;四季中,地形对天文辐射影响的程度为冬季>秋季>春季>夏季。  相似文献   

Extreme value theory based on the r largest annual events: a robust approach     

D. J. Dupuis 《Journal of Hydrology》1997,200(1-4):295-306

In Smith (1986, J. Hydrol. 86, 27–43), a family of statistical distributions and estimators for extreme values based on a fixed number r > = 1 of the largest annual events are presented. The method of estimation was numerical maximum likelihood. In this paper, we consider the robust estimation of parameters in such families of distributions. The estimation technique, which is based on optimal B-robust estimates, will assign weights to each observation and give estimates of the parameters based on the data which are well modeled by the distribution. Thus, observations which are not consistent with the proposed distribution can be identified and the validity of the model can be assessed. The method is illustrated on Venice sea level data.  相似文献   

Testing a statistical curve‐fitting procedure for quantifying sediment populations within multi‐modal particle‐size distributions     

John Leys  Grant McTainsh  Terry Koen  Brian Mooney  Craig Strong 《地球表面变化过程与地形》2005,30(5):579-590

This paper describes a series of tests designed to evaluate the capacity of a personal computer (PC) based statistical curve‐fitting program called MIX to quantify composite populations within multi‐modal particle‐size distributions. Three natural soil samples were analysed by a Coulter Multisizer, and their particle‐size distributions analysed using MIX software to identify the modes, standard deviations and proportions of their composite populations. The particle‐size distributions of the three natural soil samples were then numerically combined in equal proportions using a spreadsheet program to create synthetic particle‐size distributions of known populations. MIX was then tested on the synthetic particle‐size distributions to see if the modes and proportions it identified were similar to those modes and proportions known to characterize the synthetic particle‐size distributions. The main outcome is that MIX can very accurately describe the modal particle size and proportions of the major composite populations within a particle‐size distribution. However MIX has difficulty in identifying small populations (those contributing <10 per cent of a total particle‐size distribution), particularly when they are located in the central sections of particle‐size distributions, overlain by larger populations, or when positioned in the fine tails of distributions. Despite these minor shortcomings, MIX is a valuable tool for the examination and interpretation of particle‐size data. Copyright © 2005 John Wiley & Sons, Ltd.  相似文献   

Geostatistical simulation of random fields with bivariate isofactorial distributions by adding mosaic models     

Xavier Emery 《Stochastic Environmental Research and Risk Assessment (SERRA)》2005,19(5):348-360

This work deals with the geostatistical simulation of a family of stationary random field models with bivariate isofactorial distributions. Such models are defined as the sum of independent random fields with mosaic-type bivariate distributions and infinitely divisible univariate distributions. For practical applications, dead leaf tessellations are used since they provide a wide range of models and allow conditioning the realizations to a set of data via an iterative procedure (simulated annealing). The model parameters can be determined by comparing the data variogram and madogram, and enable to control the spatial connectivity of the extreme values in the realizations. An illustration to a forest dataset is presented, for which a negative binomial model is used to characterize the distribution of coniferous trees over a wooded area.  相似文献